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the wall                                      墙城
 The re-discovery of ordinary public places in an alternative urban
   architectural model for Chinese cities – The case of Chengdu

                          Jasper Nijveldt

                           P5 3-2-2012
Top 50 cities 2025 |Urban economic clout moves east
And 400 million farmers
then moved in?
And what if they also
      want an Ipad?
And a new car?
How will the cities
       look like?
How will cities grow?
How will you move around?
Can you breathe
     normally?
Would it be dense?
Chinese?
Or will everybody live
in sprawled suburbs?
fingermodel   doomsday             THE WALL   THE WALL on
                                              every scale




                         156 KM2
the wall   theory and zoom in
            reflection neighborhood
context |URBAN POPULATION


                                                                                                                              Compound annual growth rate,
                                                                                                                              2005–25
                                                                                        Millions of people                    %

                                                                                                                       926         2.4
                                                                                                                       120         6.9

                                                                                                                       104         1.1
                                                                                              Megacities
                                                                                              (10+)
                                                                                                                572
                                                                                                                 32    316         3.4
                                                                                              Big cities         84
                                                                                              (5–10)
                                                                                              Midsized cities   161
                                                                                              (1.5–5)
                                                                                                                       233         2.2
                                                                                              Small cities      150
                                                                                              (0.5–1.5)
                                                                                              Big towns                            0.3
                                                                                                                145    154
                                                                                              (<0.5)
                                                                                                                2005   2025

                                                                                                                                                             49




 Source: McKinsey Global Institute China All City model; McKinsey Global Institute analysis
context |URBAN POPULATION




  1.000.000.000
      2030
context |URBAN POPULATION




 1/8
				
                       of the world will live in
                       a Chinese city
context |URBAN POPULATION




    One New York every two years
context |SUGGESTED GROWTH PATTERN




                                          ECONOMY                                                                                                                                                      RESOURCES                                                                                               ENVIRONMENT
Exhibit 7                                                                                                                                                                                                                                                                  Exhibit 9
                          Exhibit 7                                                                                                              Exhibit 8                                                                                                                                        Exhibit 9
                                                                                                                                                                          Exhibit 8
Concentrated growth 7scenariosgrowth generate the highest
                Exhibit
                               would scenarios would generate the highest                                                                        Concentrated growth would entail higher energy consumption
                                                                                                                                                             Exhibit 8
                                                                                                                                                                       Concentrated growth would entail higher energy consumption                                          Concentrated urbanization would contain the loss of arable land of arable land
                                                                                                                                                                                                                                                                                 Exhibit 9
               Concentrated growth scenarios would generate the highest                                                                                                                                                                                                                    Concentrated urbanization would contain the loss
                Concentrated
per capita GDP per capita GDP                                                                                                                    but also higher efficiencyhigher efficiency higher energy consumption
                                                                                                                                                              Concentrated growth would entail
                                                                                                                                                                       but also
                                                                                                                                                                                                                                                                                       Concentrated urbanization would contain the loss of arable land
                              per capita GDP                                                                                                                     but also higher efficiency                                                                          China total arable land
                                                                                                                                                                                                                                                                              China total China total arable land
                                                                                                                                                                                                                                                                     Million hectares     arable land
                                                                                                                                                                      Urban energy intensity      Urban GDP                           Urban energy demand                                 Million hectares
                        Urban population                     Urban GDP                          Urban GDP/capita                                                                   Urban energy energy intensity 2000
                                                                                                                                                                      BTU per renminbi
                                                                                                                                                                                         Urban intensity
                                                                                                                                                                                                  Renminbi trillion, GDP
                                                                                                                                                                                                                Urban          Urban GDP
                                                                                                                                                                                                                                    QBTUs
                                                                                                                                                                                                                                                       Urban energy demand Million hectares
                                                                                                                                                                                                                                             Urban energy demand
                        Million people               Urban Renminbi trillion, 2000Urban GDP
                                                     Urbanpopulation
                                                              population        Urban GDP                    Urban GDP/capita
                                                                                                          Urban GDP/capita
                                                                                       Renminbi thousand, 2000                                                                           BTU per renminbi
                                                                                                                                                                                   BTU per renminbi             RenminbiRenminbi trillion, 2000
                                                                                                                                                                                                                         trillion, 2000      QBTUs    QBTUs                                                                                              Loss
                                                                                                                                                                                                                                                                                                                                                                               Loss
                                                     Million people
                                                     Million people               Renminbi trillion, 2000 Renminbi thousand, 20002000
                                                                                Renminbi trillion, 2000      Renminbi thousand,                                                                                                                                                                                                                            Loss
                                                                                                                                                                                                                                                                                                                                                         2005–2025,
                                                                                                                                                                                                                                                                                                                                                                               2005–2025,
                                                                                                                                                  2005                                       4,917        12                                      59                                                                                                     % 2005–2025,
                  Exhibit 7                                                                                                                                          2005 2005                           4,917 4,91712 8          12                                 59     125                                                                              %                 %Exhibit 9
    2005                                573                            12                                    21                                                                                                   Exhibit                                59                             125        125
                                2005
                                 2005                             573
                                                                 573                           1212                                21 21
               Concentrated growth scenarios would generate the highest                                                                                                                                            Concentrated growth would entail 120
                                                                                                                                                                                                                                                 120   higher 120
                                                                                                                                                                                                                                                               energy consumption                                                 Central government
                                                                                                                                                                                                                                                                                                                                                    Central government
                                                                                                                                                                                                                                                                                                                                      Central government
                                                                                                                                                                                                                                                                                                                                  target minimum for 2010
                                                                                                                                                                                                                                                                                                                                                                                Concentrated
                                                                   Supercities                                                                                                     1,926                             68                 131
    Supercitiesper capita GDP
                      Supercities 917
                     Supercities      917
                                       917
                                           68      68 68 76      76 76
                                                                                                                                                                     Supercities
                                                                                                                                                                          Supercities                1,926 1,926   but also higher efficiency131 115
                                                                                                                                                                                                                             68  68                131                                                                                target minimumtarget minimum for 2010
                                                                                                                                                                                                                                                                                                                                                     for 2010
                                                                                                                                                                                                                                                                                                                                                              –7 –7
                                                                                                                                                                                                                                                                                        115        115                            Hub Hub and spoke
                                                                                                                                                                                                                                                                                                                                       and spoke                                     –7
                                                                                                                                                                                                                                                                                                                                                    Hub and spoke                   China total ara
                                                                                                                                                                     +20%        +20% +20%                                                                                                                                        Supercities
                                                                                                                                                                                                                                                                                                                                      Supercities             –8
                                                                                                                                               Hub and spoke Hub and spoke 2,088      2,088 2,088                         68            68                142        142    110142 110                                                              Supercities –8                   –8
    Hub and spoke                         930
                                Hub and spoke
                                Hub and spoke                           930
                                                                         930
                                                                                     68                       68 68      75                 75 75                 Hub and spoke                                                                   68
                                                                                                                                                                                                                                              Urban energy intensity                              110
                                                                                                                                                                                                                                                                                              Urban GDP                       Urban energy demand                                   Million hectares
                                                       Urban population                                  Urban GDP                       Urban GDP/capita                                                                                     BTU per renminbi  105                     105   Renminbi trillion, 2000         QBTUs
                                                                                                                                 Distributed  Distributed                                                                                                                                         105
    Distributed                  Distributed
                                Distributed 944
                                                       Million people 60
                                                                 944
                                                                                                         Renminbi trillion, 2000 growth Renminbi Distributed 2,317
                                                                                                        60   65             65                growth thousand, 2000                                   2,317
                                                                                                                                                                                                               2,317    60             60
                                                                                                                                                                                                                                              60          139        139
                                                                                                                                                                                                                                                                               139
    growth                       growth                                   944                                60                              65                           growth                                                                                                   100                                                                            –20
                                growth                                                                                                                                                                                                                                      100                    100                                                         –20
                                                                                                                                                                                                                                                                                                                                       Distributed growth
                                                                                                                                                                                                                                                                                                                                  Distributed growth Distributed growth              –20

    Townization                  Townization935                         935
                                                                          54                       54             62                 62           Townization        Townization
                                                                                                                                                                          Townization2,278
                                                                                                                                                                                                      2,278         2005
                                                                                                                                                                                                               2,278 54
                                                                                                                                                                                                                                   54
                                                                                                                                                                                                                                             54         123      123       4,917
                                                                                                                                                                                                                                                                             95
                                                                                                                                                                                                                                                                             123         95      12                                      59
                                                                                                                                                                                                                                                                                                                                     Townization
                                                                                                                                                                                                                                                                                                                                  Townization                –22–22                 125
                      2005Townization                                   573
                                                                         935                            54               12                 62                          21                                                                                                                           95                                             Townization                      –22
                                                                                                                                                                                                                                                                +15%          0    0
                                                                            +26%
                                                                                                   +26%
                                                                                                        +26%
                                                                                                                  +23%
                                                                                                                                     +23%
                                                                                                                                            +23%
                                                                                                                                                                                                                                                       +15%
                                                                                                                                                                                                                                                                           +15%
                                                                                                                                                                                                                                                                              2005
                                                                                                                                                                                                                                                                                   2005    0
                                                                                                                                                                                                                                                                                           2010
                                                                                                                                                                                                                                                                                      2010 2005
                                                                                                                                                                                                                                                                                                   2015
                                                                                                                                                                                                                                                                                               2015 2010
                                                                                                                                                                                                                                                                                                            2020
                                                                                                                                                                                                                                                                                                        2020 2015
                                                                                                                                                                                                                                                                                                                     2025
                                                                                                                                                                                                                                                                                                                 2025 2020                                                          120
                                                                                                                                                                                                                                                                                                                                                2025
                                                                                                                                                                                                                       Supercities                               1,926                                              68                                 131
                      Supercities                                                 917                                                       68                                          76
                              Source: McKinsey Global Institute China All City Model; McKinsey Global Institute analysis                                                                                                                                                                                                                                                            115
                                                                                                                                                                                                                                                                                                              contain loss of arable142
                                                                                                                                                                                                                                                                                                                                     land
Source: McKinsey Global Institute China All City Model; McKinsey Global Institute analysis                                                                   8                                                                                                              9                                                                                                  10
                        Source: McKinsey Global Institute China All City Model; McKinsey Global Institute analysis                                                                                                                                                                                                                                                        10

             Generate highest per capita GDP                                                                                                                                          higher efficienctand spoke energy, 2,088
                                                                                                                                                                                                    Hub use of           More
                                                                                                                                        8                                                                                                                        9
                                                                                                                                                                 8
                                                                                                                                                                                                                                                        +20%                              9                                                                                                  10

                                                                                                                                                                                                                                                                                                                 68                                                                 110
                      Hub and spoke                                                930                                                      68                                         75
                                                                                                                                                                                      effective control of pollution                                                                                                                                                                105
                                                                                                                                                                                                                       Distributed
                      Distributed                                                                                                                                                                                      growth
                                                                                                                                                                                                                                                                     2,317                                      60                                      139
                                                                                   944                                             60                                              65
                      growth                                                                                                                                                                                                                                                                                                                                                        100

                                                                                                                                                                                                                       Townization                                   2,278                                     54                                    123                             95
                      Townization                                                  935                                        54                                                62

                                                                                                                                                                                                                                                                                                                                                   +15%                               0
                                                                                                                              +26%                                            +23%
                                                                                                                                                                                                                                                                                                                                                                                      2005


                  Source: McKinsey Global Institute China All City Model; McKinsey Global Institute analysis
                                                                                                                                                                                                          8                                                                                                                                                       9
context |URBAN CHINA




                                                                                                Shenyang
                                                                            Beijing



                                                                                 Tianjin
                                                                     Zhengzhou
                                                                                   Xuzhou
                                                             Xi’an

                                                                                             Shanghai
                                                Chengdu                    Wuhan



                                                          Chongqing
                            1
                  Chinese cities in 2010
                                                                     Shenzhen
                                                                                 Hong Kong
                          population > 5 mln
                                                          Guangzhou
                          population > 7 mln



                          population > 10 mln


                  * including agglomerations
                     Dongguang and Foshan
context |2-5-2000
context |1-5-2003
context |26-7-2006
context |4-8-2009
context |2011
context |2011
context |2011
context |2011
context |FDI ACCELERATES GROWTH
Foreign Direct Investment (FDI) is highly active in
Chengdu last five years, five times more than Chinese average.
 Chengdu: 5 times more than Chinese average
    • In 2009, Chengdu utilised USD 2.8 billion in FDI, with an
      annual growth rate of 24.4 percent. The utilised FDI from
      2005 to 2009 has been growing at a CAGR of 50.2 percent
      each year, compared to the national rate of 10.5 percent




 FDI generates far more growth than
 earlier forms of industrialization
URBAN AREA, Chengdu (sqkm)

  400


  350


  300                               X 1,5
  250


  200


  150


  100


   50
          economic reform      industrialization, export,
                               manufacturing
                                                               Global,
                                                               FDI
                                                                            ?
    0
   1980        1985     1990       1995        2000         2005     2010
problem| POLLUTION




                      Chengdu




                         “The haze in Chengdu is pervasive.
                         It is said that if a dog sees the sun, he will bark at
(NASA)
                         the intruder.”
problem| POLLUTION
problem| NEXT STEP
problem |AREA NEEDED


          2010    2030      2050   POTENTIAL THE WALL
          12.2    16.7      20.3   27.5




        2050 27X27 KM
            2030 20X20 KM
problem |DOOMSDAY FINGER MODEL


                                                            2010                 2030            2050   POTENTIAL THE WALL
                                                            12.2                 16.7            20.3   27.5




URBAN AREA, Chengdu (sqkm)

 400


 350


 300


 250


 200


 150


 100


  50
              economic reform             industrialization, export,      Global,
                                          manufacturing                   FDI

   0
  1980              1985           1990       1995        2000         2005      2010




 AVERAGE SPEED city centre, Chengdu (kmph)

  25



  20



  15                                                                                    biking

  10



  5



  0
       2005       2006      2007       2008     2009      2010     2011   2012          2013

              average      during rush hour
proposal |THE WALL


                                                               2010                   2030            2050   POTENTIAL THE WALL
                                                               12.2                   16.7            20.3   27.5




URBAN AREA, Chengdu (sqkm)

 400


 350


 300


 250


 200


 150


 100


  50
              economic reform             industrialization, export,            Global,
                                          manufacturing                         FDI

   0
  1980              1985          1990        1995        2000               2005     2010




 AVERAGE SPEED city centre, Chengdu (kmph)

  25



  20



  15                                                                                         biking                           156 KM2
  10



  5



  0
       2005       2006     2007       2008     2009     2010          2011     2012       2013
                                                                                                                                        ¥
              average      during rush hour
proposal |THE WALL | unroll the wall


                        2010   2030   2050   POTENTIAL THE WALL
                        12.2   16.7   20.3   27.5




max potential 100.000 p/sqkm                                                   Den Helder




+ 15.600.000
                                                                  156km2                Maast




Den Helder




                312km




                                                                       312km
                                                                                       56km2
         Maastricht
x
                                                 their impact on pollution. Because of severe NO x problems in a supercities the fact that
                                                                        scenario, fuel-cell buses could become relevant despite
proposal |THE WALL | savingspollution secure would miss the bar to justify the
                 energy
                        air that these would sources
                                                 scenario, fuel-cell buses could become relevant would secure would miss the bar to justify
                                                                        energy savings that these despite the fact that the
                                                                      investments on a purely economic basis under all energy-price scenario
                                                 investments on a purely economic basis under all energy-price scenarios.
                                                                      Exhibit 6.10
                                                                        Exhibit 6.10
                                                 Exhibit 6.10
                                                  Exhibit 6.10           Aggressive transport policies and emission standards could mitig
                                                  Aggressive transportsupercities’ pollution. Because of severe NO could mitigate
                                                                          policies and emission issues
                                                                           their impact on air-quality standards x problems in a supercities     SHENZHEN E
                                                  supercities’ air-quality issuesfuel-cell buses could become relevant despite the fact that the
                                                                         Estimated NOx concentrations*
                                                                           scenario,                                        SHENZHEN EXAMPLE
                                                  Estimated NOx concentrations*per msavings that these would secure would miss the bar to justify the
                                                                           mgenergy 3, 2025
                                     OTHER        mg per m3, 2025             investments on a purely economic basis under all energy-price scenarios.
                       AGRICULTURE                                                                           2.89
            COMMERCIAL AND                                                                   Exhibit 6.10
                                                                   2.89
                                                                                                                 - 40%
                                                                                              Exhibit 6.10
      RESIDENTIAL HEATING
                                                                                              Aggressive transport policies and emission standards could mitigate
       CONSUMER AND                                                           - 40%           supercities’ air-quality issues                        SHENZHEN EXAMPLE




                                                                                                                                                                           -90%
 COMMERCIAL PRODUCTS                                                                          Estimated NOx concentrations*
                                                                                              mg per m3, 2025

                                                                                                             2.89

                                                                                                                    - 40%
                                                                                                                             -90%
                                                52%
                                                                                                                                              - 50%
                             27%                                                                  - 50%
                                                                                                                                                    -90%
                                                                                                                                   - 50%                                0.29
                                                                                                                            0.29
         TRANSPORT                                                                              Base         Expanded               Tightened
                                                                                                                                                   0.29
                                                                                                                                                                    Target (Level
                                             INDUSTRY                                           forecastExpanded transit, emissions
                                                                                                             public Tightened                                       III standard)
                                                                 Base       Expanded        Tightened
                                                                                                 Base
                                                                                                             density, (Level
                                                                                                                Target fleet           Target (Level
                                                                                                 forecast public transit, emissions industry
                                                                                                                                       III standard)
                                                                 forecast   public transit, emissions density, fleet industry
                                                                                                                III standard)
                                                                            density, fleet industry
                                                                                                 * Assuming constant concentration factor; includesfactor; includes only transportation-related
                                                                                                    * Assuming a a constant concentration only transportation-related measures; further potential may   measures; further potentia
                                                                                                   exist in,e.g., NOxNOx scrubbers on power plants in addition to SO2 scrubbers.
                                                                                                      exist in,
                                                                                                                e.g., scrubbers on power plants in addition to SO2 scrubbers.
        source: EPA 2008                                                                      Source: Literature search; McKinsey Global Institute analysis
                                                        * Assuming a constant concentration factor; includes only transportation-related measures; further potential may
                                                                                      Source: Literature search; McKinsey Global Institute analysis
                                                                                                                                                                                                         88

                                                          exist in, e.g., NOx scrubbers on power plants in addition to SO2 scrubbers.
                                                                                          Exhibit 6.11
                                                  Source: Literature search; McKinsey Global Institute analysis                                                                                           88
                                                                                              Exhibit 6.11

                                                                                        Exhibit 6.11 construction can cut PM10 significantly and help bring
                                                                                           Measures in
                                                                                              megacity
                                                                                         Exhibit 6.11          pollution under control
                                                 Exhibit 6.11
                                                  Exhibit 6.11        Measures in construction can cut PM10 significantly and help brin
                                                                                                            Shenzhen’s estimated PM                                                 10

                                                                      megacity cut PM10 significantly and help bring
                                                  Measures in construction can 2025
                                                                          Million tonne,pollution under control , 2025 as a supercity
                                                                          PM emissions from construction
                                                                                                     10     concentration
                                                                                                            mg/m                                              3



                                                  megacity pollution under control
                                                                              116
                                                                                                              0.29

                                                                                                                                                                    0.06         Shenzhen’s estimated PM10
TRANSPORT
                             TRANSPORT
  proposal |THE WALL | air pollution sources
                                                                                                                                                          DENSITY                          DENSITY
                                                                                                                                                                                            LOCALISED             LOCALISED
                                                                                                                                                                                                                        GREEN                    GREEN
                                                                                                                                                                                            FEEDER SYSTEM         FEEDER SYSTEM
                                                                                                                                                                                                                      HOUSES                    HOUSES




                       TRANSPORT
                            TRANSPORT
                                 URBAN          GROWING CITY
                                                      URBAN               GROWING CITY
                                 SPRAWL         RELIESSPRAWL USE
                                                       ON CAR             RELIES ON CAR USE

                                                                                                                                                            DENSITY                        DENSITY
                                                                                                                                                                                              LOCALISED           LOCALISED
                                                                                                                                                                                                                          GREEN                  GREEN
                                                                                                                                                                                              FEEDER SYSTEM       FEEDER SYSTEM
                                                                                                                                                                                                                         HOUSES                 HOUSES




New transport system               URBAN
                                   SPRAWL
                                                     GROWING CITY
                                                        URBAN         GROWING CITY
                                                     RELIES ON CAR USERELIES ON CAR USE
                                                        SPRAWL


                                                                            ?                       ?                                                                                                                          O2                        O2


                                                                                                                                                                                                                         CO2                     CO2




                                                                                ?                   ?                                                                                                                               O2                   O2


                                                                                                                                                                                                                           CO2                CO2
                                                                                         EXISTING            EXISTING                         UNDERGROUND                         UNDERGROUND
                                                                                                                                                                                           CARBON                      CARBON
                                                                                                                                                                                                                    EXISTING              EXISTING
                                                                                    METRO SYSTEM        METRO SYSTEM                          PARKING                             PARKING CAPTURE                     CAPTURE
                                                                                                                                                                                                                    METRO SYSTEM          METRO SYSTEM



                       EXISTING SEPERATED SYSTEM
                                    EXISTING SEPERATED SYSTEM                                                           THE WALL - CLUSTERED SYSTEM
                                                                                                                                     THE WALL - CLUSTERED SYSTEM

                                                                                           EXISTING          EXISTING                                 UNDERGROUND                 UNDERGROUNDCARBON                      CARBON
                                                                                                                                                                                                                        EXISTING          EXISTING
                                                                                      METRO SYSTEM      METRO SYSTEM                                  PARKING                     PARKING   CAPTURE                     CAPTURE
                                                                                                                                                                                                                        METRO SYSTEM      METRO SYSTEM



                        EXISTING SEPERATED SYSTEM
                                    EXISTING SEPERATED SYSTEM                                                            THE WALL - CLUSTERED-SYSTEM
                                                                                                                                     THE WALL CLUSTERED SYSTEM


                       INDUSTRY
                             INDUSTRY

New industry system              INDUSTRY                 INDUSTRY                        DWELLINGS                   EXISTING
                                                                                                              DWELLINGS              GREEN EXISTING
                                                                                                                                                INDUSTRY GREEN                              INDUSTRY        DWELLINGS               DWELLINGS

                       INDUSTRY
                            INDUSTRY                                                                                  INDUSTRY       HOUSESINDUSTRY      HOUSES




                                   INDUSTRY               INDUSTRY                          DWELLINGS         DWELLINGS EXISTING            GREEN
                                                                                                                                               EXISTING     GREEN
                                                                                                                                                      INDUSTRY                              INDUSTRY            DWELLINGS           DWELLINGS
                                                                                                                        INDUSTRY            HOUSES
                                                                                                                                               INDUSTRY     HOUSES
                         A             B         A    C         B D             C          D
                                                                                                                                   O2                                 O2
                                                                                                                                                              WASTE                              WASTE
                                                                                                                                 A            B                       A           B          E                      E
                                                                                                                                                              CO2            COLD
                                                                                                                                                                                                 CO2     COLD


                                                                                                                                                                            HEAT                         HEAT
                                                                                                                                        CO2                                CO2
                                                                                                                                                                                             F                      F
                             A              B    A        C     B     D         C          D                                     C                                    C
                                                                                                                                 D      O2                            D2
                                                                                                                                                                      O                      G                      G
                                                                                                                                                                 WASTE                           WASTE
                                                                                                                                        A             B               A           B               E                 E
                                                                                                                                                                  CO2              COLD
                                                                                                                                                                                                 CO2     COLD



                       EXISTING SEPERATED SYSTEM
                                    EXISTING SEPERATED SYSTEM                                                           THE WALL - CLUSTERED SYSTEM
                                                                                                                                    COTHE WALL - CO
                                                                                                                                                 CLUSTERED SYSTEM
                                                                                                                                                  2                           2
                                                                                                                                                                                    HEAT                 HEAT



                                                                                                                                                                                                  F                 F
                                                                                                                                        C                             C
design |THE WALL | generic becomes specific
design |THE WALL | forest wall
design |THE WALL | forest sand wall
design |THE WALL | river wall
design |THE WALL | water wall
design |THE WALL
Reflection|critique linear city




Soria y Mata, Linear City, 1882
Reflection|critique linear city




Malcolmson, Metro-linear
project, 1957




Miljutin, Tractorstoi, 1930
Reflection|critique linear city




 Le Corbusier, The Industrial Linear City 1932
Reflection|critique linear city



                        Argumentation:

                - Limited extension of the city;
                     - Efficiency in building;
                  - A fordist mass production.
          - Best of both worlds (city and landscape);
                   - Orientation on transport.
Reflection|critique linear city




  - Remains a scheme
  - Ignores existing context
  - Repetition and ratio
  - Birds eye perspective
  - Ignores everyday live
Haussmann and Le Corbusier in China              239
                                                                                                          ordinary public space under pressure
                                                                                                                                                 Reflection|superimposing le corbusier




Figure 2. Plan for street widening overlaid on existing street network in Beijing’s West City District,
other Asian cities with large-scale land-assembly-dependent development, such
Reflection|superimposing in Singapore, it is rather rare in China. Despite
as in Hong Kong’s new towns or le corbusier
William Whyte’s findings that buildings and open spaces that are adjacent to
streets but level-separated from them inhibit public access, the higher density




     Figure 6. Model showing the street facade of the Xin Fu San Cun project by Joe Carter.
                                          ¸
“
Reflection|placelessness




‘the capitalized
modernization of
China leads to a
decline of ordinary
public places, and
to a feeling that
cities are becoming
‘placeless’
Reflection|placelessness
Reflection| placelessness
 
Reflection|placelessness
Ignoring existing topography, Shanghai, (Miao, 20




                                              
Theory|ordinary public places

                        ‘The new city, is based on
                        a ‘disappearance of stable
                        relations with a physical and
                        cultural geography of a place’




      Augé     Sorkin          Cacciari
Theory|ordinary public places

                  “I argue that human beings originate
                  in an alienated condition, and define
                  themselves, through their social
                  spatial environment. Therefore
                  meaningful places are crucial for
                  everyday life!”




      Heidegger
Theory|ordinary public places




    “Placelessness is the inevitable
    destiny of the urban condition.
    These generic cities are located
    in Asia. “




                                 Koolhaas
Theory|ordinary public places




    how to design places meaningful for everyday
    life in a radically transforming, and generalizing
    Chinese city?
Theory|ordinary public places



  “The world is what we
  perceive. The way people use
  and value places is highly
  influenced by their perception
  of space.”




                                   Merleau-Ponty
Theory|ordinary public places




     Therefore the perceptual experience
     of space is crucial in the success of
     any urban design.
Perception of space|linearity


                   china                west




               small scattered      central and static nodes
               places and streets



                           yamen
Perception of space|hierarchy


                    china               west




                            yamen



                                           church




             hierarchical system     non-orthogonal system
             similarity in volumes   individual volumes
Perception of space|unity            church




                     china          west




             collective inward   public outward
             focus on family     focus on individual
Perception of space|human scale


                            china    west




    small scattered private spaces    large pieces in the centre of blocks
    horizontal city                   vertical city
Perception of space|enclosure


space is perceived as a
series of walled enclosures

presenting space little by
little

form meaningful places by
enclosing spaces

local context determines
outcome
Perception of space|enclosure
Perception of space|enclosure
Zoom in neighborhood|parameters
Zoom in neighborhood|valley
taking existing as a basis to develop
Zoom in neighborhood|valley
taking existing as a basis to develop
Zoom in neighborhood|bamboo hills and ponds
taking existing as a basis to develop
Zoom in neighborhood|main arteries      yamen




taking existing as a basis to develop
Zoom in neighborhood|main arteries
taking existing as a basis to develop



                                                                     yamen
    23    7    15   7     23




                                  - symetrical profile
                                  - continuity facade
                                  - no setback
                                  - transparency 1st floor
                                  - max 5 stories
                                  - land use mix
                                  - max 12 m between each entrance
                                  - max 25% open space on plot
Zoom in neighborhood|secondary arteries   yamen




taking existing as a basis to develop
Zoom in neighborhood|secondary arteries
taking existing as a basis to develop



                                                                          yamen




                            - transition zone 5 m ( porches, veranda’s,
                            frontyard
                            - 3-4 stories
                            - asymetrical profile
                            - height differences
                            - max 7 m. between each entrance
                            - sitting elements
                            - land use mix
                            - vendors and street stalls
                            - planting as spacemakers
Zoom in neighborhood|building plots
Zoom in neighborhood|zoning
Zoom in neighborhood|plot development
Zoom in neighborhood|plot development
Zoom in neighborhood|plot development
Zoom in neighborhood|plot development
Zoom in neighborhood|plot development



                 1st floor min. 4 m.



                                       max. height 18.00




                                                                                           At least one side
                                                                                           accessible to public
                                                                                           One side at least a
                                                                                           Wall
                     max. 80% build


                                                                                                                      min. 7 m.x 7m. court




                                                             at least 5 m. distance


         on 50% max 23 m.

                                                                                                   max. 6 m.setback
                                                                                                   from street.


                                                                           5m


                                                 max. 5 plots per
                                                 developer




                                                                                      6m
Zoom in neighborhood|plot development
Zoom in neighborhood|plot development
Zoom in neighborhood|plot development
Zoom in neighborhood|plot development
Zoom in neighborhood|plot development
Zoom in neighborhood|specials
Zoom in neighborhood|framework
Zoom in neighborhood|series of enclosed worlds
Zoom in neighborhood|series of enclosed worlds
Zoom in neighborhood|series of enclosed worlds
series of enclosed worlds | water
series of enclosed worlds |water



                                   Water
                                   Gravelbed




                                   Prefab concrete with constructed gutter




                                   CRUCIAL DETAIL
                                   Prefab concrete
                                   Coated steel gutter




                                                                             Helophytes



                                                         Concrete

                                                                    Gravel
series of enclosed worlds |water




- toned down materials
- stones baked by local soil
- only plantation, water and
concrete elements stand out
- gravel in watercascade to
increase sound
series of enclosed worlds | water cleaning




          Storage + first filter
                                                                                                                     Clean air



                                                   Wall water transport system

                 Black water                                                                                                      Chinese citronella grass

                                                                         hylophytes and gravel
                                   Water tank
                                                                                                                                          Storage ponds
 Clarification plant
                               Grey water
                                                                   Clean gutter
                                                                                                                    Helophytes



                                                Primary sedimentation                       Planted trench filter
                                                                                                                                 Chengdu water system
result|CHINA 2030
URBAN AREA
By 2013 loss of arable land will go below
governments minumum of 120million ha




     1990           2010                    2030
result|CHINA 2030
URBAN POPULATION

By 2030 urban population will almost double
from 572 m in 2005 to one billion




     1990          2010                       2030
result|CHINA 2030
MIGRANTS

70% will be migrants




    1990            2010   2030
result|CHINA 2030
BIODIVERSITY

By 2030 7 to 20% of the landscape will be lost




     1990           2010                         2030
result|CHINA 2030
WATER

By 2030 3 billion cubic meters of water is short




     1990           2010                           2030
result|CHINA 2030
ENERGY

By 2030 energy demand will triple




     1990           2010            2030
result|CHINA 2030
AIR POLUTION

By 2030 35 million cars will be sold annually




     1990           2010                        2030
result|CHINA 2030
TRANSPORT

By 2030 the current subway system need
to expand eight times




     1990           2010                 2030
result|CHINA 2030
FOOD

By 2030 meat consumption will double




     1990           2010               2030
result|CHINA 2030
WASTE

By 2030 solid waste will increase by 150%




     1990           2010                    2030
result|Technical




          urban    the Wall   rural
result|Psychological
result|INTEGRAL WALL
result|NEW CHINESE WALLS
the wall                                          墙城
The re-discovery of ordinary public places in an alternative urban architec-
           tural model for Chinese cities – The case of Chengdu

                              Jasper Nijveldt

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Presentation graduation project

  • 1. the wall 墙城 The re-discovery of ordinary public places in an alternative urban architectural model for Chinese cities – The case of Chengdu Jasper Nijveldt P5 3-2-2012
  • 2.
  • 3.
  • 4. Top 50 cities 2025 |Urban economic clout moves east
  • 5.
  • 6. And 400 million farmers then moved in?
  • 7. And what if they also want an Ipad?
  • 8. And a new car?
  • 9. How will the cities look like?
  • 11. How will you move around?
  • 12. Can you breathe normally?
  • 13.
  • 14. Would it be dense?
  • 16. Or will everybody live in sprawled suburbs?
  • 17.
  • 18.
  • 19.
  • 20. fingermodel doomsday THE WALL THE WALL on every scale 156 KM2
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30. the wall theory and zoom in reflection neighborhood
  • 31. context |URBAN POPULATION Compound annual growth rate, 2005–25 Millions of people % 926 2.4 120 6.9 104 1.1 Megacities (10+) 572 32 316 3.4 Big cities 84 (5–10) Midsized cities 161 (1.5–5) 233 2.2 Small cities 150 (0.5–1.5) Big towns 0.3 145 154 (<0.5) 2005 2025 49 Source: McKinsey Global Institute China All City model; McKinsey Global Institute analysis
  • 32. context |URBAN POPULATION 1.000.000.000 2030
  • 33. context |URBAN POPULATION 1/8 of the world will live in a Chinese city
  • 34. context |URBAN POPULATION One New York every two years
  • 35.
  • 36.
  • 37. context |SUGGESTED GROWTH PATTERN ECONOMY RESOURCES ENVIRONMENT Exhibit 7 Exhibit 9 Exhibit 7 Exhibit 8 Exhibit 9 Exhibit 8 Concentrated growth 7scenariosgrowth generate the highest Exhibit would scenarios would generate the highest Concentrated growth would entail higher energy consumption Exhibit 8 Concentrated growth would entail higher energy consumption Concentrated urbanization would contain the loss of arable land of arable land Exhibit 9 Concentrated growth scenarios would generate the highest Concentrated urbanization would contain the loss Concentrated per capita GDP per capita GDP but also higher efficiencyhigher efficiency higher energy consumption Concentrated growth would entail but also Concentrated urbanization would contain the loss of arable land per capita GDP but also higher efficiency China total arable land China total China total arable land Million hectares arable land Urban energy intensity Urban GDP Urban energy demand Million hectares Urban population Urban GDP Urban GDP/capita Urban energy energy intensity 2000 BTU per renminbi Urban intensity Renminbi trillion, GDP Urban Urban GDP QBTUs Urban energy demand Million hectares Urban energy demand Million people Urban Renminbi trillion, 2000Urban GDP Urbanpopulation population Urban GDP Urban GDP/capita Urban GDP/capita Renminbi thousand, 2000 BTU per renminbi BTU per renminbi RenminbiRenminbi trillion, 2000 trillion, 2000 QBTUs QBTUs Loss Loss Million people Million people Renminbi trillion, 2000 Renminbi thousand, 20002000 Renminbi trillion, 2000 Renminbi thousand, Loss 2005–2025, 2005–2025, 2005 4,917 12 59 % 2005–2025, Exhibit 7 2005 2005 4,917 4,91712 8 12 59 125 % %Exhibit 9 2005 573 12 21 Exhibit 59 125 125 2005 2005 573 573 1212 21 21 Concentrated growth scenarios would generate the highest Concentrated growth would entail 120 120 higher 120 energy consumption Central government Central government Central government target minimum for 2010 Concentrated Supercities 1,926 68 131 Supercitiesper capita GDP Supercities 917 Supercities 917 917 68 68 68 76 76 76 Supercities Supercities 1,926 1,926 but also higher efficiency131 115 68 68 131 target minimumtarget minimum for 2010 for 2010 –7 –7 115 115 Hub Hub and spoke and spoke –7 Hub and spoke China total ara +20% +20% +20% Supercities Supercities –8 Hub and spoke Hub and spoke 2,088 2,088 2,088 68 68 142 142 110142 110 Supercities –8 –8 Hub and spoke 930 Hub and spoke Hub and spoke 930 930 68 68 68 75 75 75 Hub and spoke 68 Urban energy intensity 110 Urban GDP Urban energy demand Million hectares Urban population Urban GDP Urban GDP/capita BTU per renminbi 105 105 Renminbi trillion, 2000 QBTUs Distributed Distributed 105 Distributed Distributed Distributed 944 Million people 60 944 Renminbi trillion, 2000 growth Renminbi Distributed 2,317 60 65 65 growth thousand, 2000 2,317 2,317 60 60 60 139 139 139 growth growth 944 60 65 growth 100 –20 growth 100 100 –20 Distributed growth Distributed growth Distributed growth –20 Townization Townization935 935 54 54 62 62 Townization Townization Townization2,278 2,278 2005 2,278 54 54 54 123 123 4,917 95 123 95 12 59 Townization Townization –22–22 125 2005Townization 573 935 54 12 62 21 95 Townization –22 +15% 0 0 +26% +26% +26% +23% +23% +23% +15% +15% 2005 2005 0 2010 2010 2005 2015 2015 2010 2020 2020 2015 2025 2025 2020 120 2025 Supercities 1,926 68 131 Supercities 917 68 76 Source: McKinsey Global Institute China All City Model; McKinsey Global Institute analysis 115 contain loss of arable142 land Source: McKinsey Global Institute China All City Model; McKinsey Global Institute analysis 8 9 10 Source: McKinsey Global Institute China All City Model; McKinsey Global Institute analysis 10 Generate highest per capita GDP higher efficienctand spoke energy, 2,088 Hub use of More 8 9 8 +20% 9 10 68 110 Hub and spoke 930 68 75 effective control of pollution 105 Distributed Distributed growth 2,317 60 139 944 60 65 growth 100 Townization 2,278 54 123 95 Townization 935 54 62 +15% 0 +26% +23% 2005 Source: McKinsey Global Institute China All City Model; McKinsey Global Institute analysis 8 9
  • 38. context |URBAN CHINA Shenyang Beijing Tianjin Zhengzhou Xuzhou Xi’an Shanghai Chengdu Wuhan Chongqing 1 Chinese cities in 2010 Shenzhen Hong Kong population > 5 mln Guangzhou population > 7 mln population > 10 mln * including agglomerations Dongguang and Foshan
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 44.
  • 45.
  • 46.
  • 47.
  • 48.
  • 57. context |FDI ACCELERATES GROWTH Foreign Direct Investment (FDI) is highly active in Chengdu last five years, five times more than Chinese average. Chengdu: 5 times more than Chinese average • In 2009, Chengdu utilised USD 2.8 billion in FDI, with an annual growth rate of 24.4 percent. The utilised FDI from 2005 to 2009 has been growing at a CAGR of 50.2 percent each year, compared to the national rate of 10.5 percent FDI generates far more growth than earlier forms of industrialization URBAN AREA, Chengdu (sqkm) 400 350 300 X 1,5 250 200 150 100 50 economic reform industrialization, export, manufacturing Global, FDI ? 0 1980 1985 1990 1995 2000 2005 2010
  • 58.
  • 59. problem| POLLUTION Chengdu “The haze in Chengdu is pervasive. It is said that if a dog sees the sun, he will bark at (NASA) the intruder.”
  • 62. problem |AREA NEEDED 2010 2030 2050 POTENTIAL THE WALL 12.2 16.7 20.3 27.5 2050 27X27 KM 2030 20X20 KM
  • 63. problem |DOOMSDAY FINGER MODEL 2010 2030 2050 POTENTIAL THE WALL 12.2 16.7 20.3 27.5 URBAN AREA, Chengdu (sqkm) 400 350 300 250 200 150 100 50 economic reform industrialization, export, Global, manufacturing FDI 0 1980 1985 1990 1995 2000 2005 2010 AVERAGE SPEED city centre, Chengdu (kmph) 25 20 15 biking 10 5 0 2005 2006 2007 2008 2009 2010 2011 2012 2013 average during rush hour
  • 64. proposal |THE WALL 2010 2030 2050 POTENTIAL THE WALL 12.2 16.7 20.3 27.5 URBAN AREA, Chengdu (sqkm) 400 350 300 250 200 150 100 50 economic reform industrialization, export, Global, manufacturing FDI 0 1980 1985 1990 1995 2000 2005 2010 AVERAGE SPEED city centre, Chengdu (kmph) 25 20 15 biking 156 KM2 10 5 0 2005 2006 2007 2008 2009 2010 2011 2012 2013 ¥ average during rush hour
  • 65. proposal |THE WALL | unroll the wall 2010 2030 2050 POTENTIAL THE WALL 12.2 16.7 20.3 27.5 max potential 100.000 p/sqkm Den Helder + 15.600.000 156km2 Maast Den Helder 312km 312km 56km2 Maastricht
  • 66. x their impact on pollution. Because of severe NO x problems in a supercities the fact that scenario, fuel-cell buses could become relevant despite proposal |THE WALL | savingspollution secure would miss the bar to justify the energy air that these would sources scenario, fuel-cell buses could become relevant would secure would miss the bar to justify energy savings that these despite the fact that the investments on a purely economic basis under all energy-price scenario investments on a purely economic basis under all energy-price scenarios. Exhibit 6.10 Exhibit 6.10 Exhibit 6.10 Exhibit 6.10 Aggressive transport policies and emission standards could mitig Aggressive transportsupercities’ pollution. Because of severe NO could mitigate policies and emission issues their impact on air-quality standards x problems in a supercities SHENZHEN E supercities’ air-quality issuesfuel-cell buses could become relevant despite the fact that the Estimated NOx concentrations* scenario, SHENZHEN EXAMPLE Estimated NOx concentrations*per msavings that these would secure would miss the bar to justify the mgenergy 3, 2025 OTHER mg per m3, 2025 investments on a purely economic basis under all energy-price scenarios. AGRICULTURE 2.89 COMMERCIAL AND Exhibit 6.10 2.89 - 40% Exhibit 6.10 RESIDENTIAL HEATING Aggressive transport policies and emission standards could mitigate CONSUMER AND - 40% supercities’ air-quality issues SHENZHEN EXAMPLE -90% COMMERCIAL PRODUCTS Estimated NOx concentrations* mg per m3, 2025 2.89 - 40% -90% 52% - 50% 27% - 50% -90% - 50% 0.29 0.29 TRANSPORT Base Expanded Tightened 0.29 Target (Level INDUSTRY forecastExpanded transit, emissions public Tightened III standard) Base Expanded Tightened Base density, (Level Target fleet Target (Level forecast public transit, emissions industry III standard) forecast public transit, emissions density, fleet industry III standard) density, fleet industry * Assuming constant concentration factor; includesfactor; includes only transportation-related * Assuming a a constant concentration only transportation-related measures; further potential may measures; further potentia exist in,e.g., NOxNOx scrubbers on power plants in addition to SO2 scrubbers. exist in, e.g., scrubbers on power plants in addition to SO2 scrubbers. source: EPA 2008 Source: Literature search; McKinsey Global Institute analysis * Assuming a constant concentration factor; includes only transportation-related measures; further potential may Source: Literature search; McKinsey Global Institute analysis 88 exist in, e.g., NOx scrubbers on power plants in addition to SO2 scrubbers. Exhibit 6.11 Source: Literature search; McKinsey Global Institute analysis 88 Exhibit 6.11 Exhibit 6.11 construction can cut PM10 significantly and help bring Measures in megacity Exhibit 6.11 pollution under control Exhibit 6.11 Exhibit 6.11 Measures in construction can cut PM10 significantly and help brin Shenzhen’s estimated PM 10 megacity cut PM10 significantly and help bring Measures in construction can 2025 Million tonne,pollution under control , 2025 as a supercity PM emissions from construction 10 concentration mg/m 3 megacity pollution under control 116 0.29 0.06 Shenzhen’s estimated PM10
  • 67. TRANSPORT TRANSPORT proposal |THE WALL | air pollution sources DENSITY DENSITY LOCALISED LOCALISED GREEN GREEN FEEDER SYSTEM FEEDER SYSTEM HOUSES HOUSES TRANSPORT TRANSPORT URBAN GROWING CITY URBAN GROWING CITY SPRAWL RELIESSPRAWL USE ON CAR RELIES ON CAR USE DENSITY DENSITY LOCALISED LOCALISED GREEN GREEN FEEDER SYSTEM FEEDER SYSTEM HOUSES HOUSES New transport system URBAN SPRAWL GROWING CITY URBAN GROWING CITY RELIES ON CAR USERELIES ON CAR USE SPRAWL ? ? O2 O2 CO2 CO2 ? ? O2 O2 CO2 CO2 EXISTING EXISTING UNDERGROUND UNDERGROUND CARBON CARBON EXISTING EXISTING METRO SYSTEM METRO SYSTEM PARKING PARKING CAPTURE CAPTURE METRO SYSTEM METRO SYSTEM EXISTING SEPERATED SYSTEM EXISTING SEPERATED SYSTEM THE WALL - CLUSTERED SYSTEM THE WALL - CLUSTERED SYSTEM EXISTING EXISTING UNDERGROUND UNDERGROUNDCARBON CARBON EXISTING EXISTING METRO SYSTEM METRO SYSTEM PARKING PARKING CAPTURE CAPTURE METRO SYSTEM METRO SYSTEM EXISTING SEPERATED SYSTEM EXISTING SEPERATED SYSTEM THE WALL - CLUSTERED-SYSTEM THE WALL CLUSTERED SYSTEM INDUSTRY INDUSTRY New industry system INDUSTRY INDUSTRY DWELLINGS EXISTING DWELLINGS GREEN EXISTING INDUSTRY GREEN INDUSTRY DWELLINGS DWELLINGS INDUSTRY INDUSTRY INDUSTRY HOUSESINDUSTRY HOUSES INDUSTRY INDUSTRY DWELLINGS DWELLINGS EXISTING GREEN EXISTING GREEN INDUSTRY INDUSTRY DWELLINGS DWELLINGS INDUSTRY HOUSES INDUSTRY HOUSES A B A C B D C D O2 O2 WASTE WASTE A B A B E E CO2 COLD CO2 COLD HEAT HEAT CO2 CO2 F F A B A C B D C D C C D O2 D2 O G G WASTE WASTE A B A B E E CO2 COLD CO2 COLD EXISTING SEPERATED SYSTEM EXISTING SEPERATED SYSTEM THE WALL - CLUSTERED SYSTEM COTHE WALL - CO CLUSTERED SYSTEM 2 2 HEAT HEAT F F C C
  • 68. design |THE WALL | generic becomes specific
  • 69. design |THE WALL | forest wall
  • 70. design |THE WALL | forest sand wall
  • 71.
  • 72. design |THE WALL | river wall
  • 73. design |THE WALL | water wall
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  • 92. Reflection|critique linear city Soria y Mata, Linear City, 1882
  • 93. Reflection|critique linear city Malcolmson, Metro-linear project, 1957 Miljutin, Tractorstoi, 1930
  • 94. Reflection|critique linear city Le Corbusier, The Industrial Linear City 1932
  • 95. Reflection|critique linear city Argumentation: - Limited extension of the city; - Efficiency in building; - A fordist mass production. - Best of both worlds (city and landscape); - Orientation on transport.
  • 96. Reflection|critique linear city - Remains a scheme - Ignores existing context - Repetition and ratio - Birds eye perspective - Ignores everyday live
  • 97. Haussmann and Le Corbusier in China 239 ordinary public space under pressure Reflection|superimposing le corbusier Figure 2. Plan for street widening overlaid on existing street network in Beijing’s West City District,
  • 98. other Asian cities with large-scale land-assembly-dependent development, such Reflection|superimposing in Singapore, it is rather rare in China. Despite as in Hong Kong’s new towns or le corbusier William Whyte’s findings that buildings and open spaces that are adjacent to streets but level-separated from them inhibit public access, the higher density Figure 6. Model showing the street facade of the Xin Fu San Cun project by Joe Carter. ¸
  • 99. “ Reflection|placelessness ‘the capitalized modernization of China leads to a decline of ordinary public places, and to a feeling that cities are becoming ‘placeless’
  • 103. Theory|ordinary public places ‘The new city, is based on a ‘disappearance of stable relations with a physical and cultural geography of a place’ Augé Sorkin Cacciari
  • 104. Theory|ordinary public places “I argue that human beings originate in an alienated condition, and define themselves, through their social spatial environment. Therefore meaningful places are crucial for everyday life!” Heidegger
  • 105. Theory|ordinary public places “Placelessness is the inevitable destiny of the urban condition. These generic cities are located in Asia. “ Koolhaas
  • 106. Theory|ordinary public places how to design places meaningful for everyday life in a radically transforming, and generalizing Chinese city?
  • 107. Theory|ordinary public places “The world is what we perceive. The way people use and value places is highly influenced by their perception of space.” Merleau-Ponty
  • 108. Theory|ordinary public places Therefore the perceptual experience of space is crucial in the success of any urban design.
  • 109. Perception of space|linearity china west small scattered central and static nodes places and streets yamen
  • 110. Perception of space|hierarchy china west yamen church hierarchical system non-orthogonal system similarity in volumes individual volumes
  • 111. Perception of space|unity church china west collective inward public outward focus on family focus on individual
  • 112. Perception of space|human scale china west small scattered private spaces large pieces in the centre of blocks horizontal city vertical city
  • 113. Perception of space|enclosure space is perceived as a series of walled enclosures presenting space little by little form meaningful places by enclosing spaces local context determines outcome
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  • 121. Zoom in neighborhood|valley taking existing as a basis to develop
  • 122.
  • 123. Zoom in neighborhood|valley taking existing as a basis to develop
  • 124. Zoom in neighborhood|bamboo hills and ponds taking existing as a basis to develop
  • 125.
  • 126. Zoom in neighborhood|main arteries yamen taking existing as a basis to develop
  • 127. Zoom in neighborhood|main arteries taking existing as a basis to develop yamen 23 7 15 7 23 - symetrical profile - continuity facade - no setback - transparency 1st floor - max 5 stories - land use mix - max 12 m between each entrance - max 25% open space on plot
  • 128. Zoom in neighborhood|secondary arteries yamen taking existing as a basis to develop
  • 129. Zoom in neighborhood|secondary arteries taking existing as a basis to develop yamen - transition zone 5 m ( porches, veranda’s, frontyard - 3-4 stories - asymetrical profile - height differences - max 7 m. between each entrance - sitting elements - land use mix - vendors and street stalls - planting as spacemakers
  • 132.
  • 137. Zoom in neighborhood|plot development 1st floor min. 4 m. max. height 18.00 At least one side accessible to public One side at least a Wall max. 80% build min. 7 m.x 7m. court at least 5 m. distance on 50% max 23 m. max. 6 m.setback from street. 5m max. 5 plots per developer 6m
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  • 154. Zoom in neighborhood|series of enclosed worlds
  • 155. Zoom in neighborhood|series of enclosed worlds
  • 156. Zoom in neighborhood|series of enclosed worlds
  • 157. series of enclosed worlds | water
  • 158. series of enclosed worlds |water Water Gravelbed Prefab concrete with constructed gutter CRUCIAL DETAIL Prefab concrete Coated steel gutter Helophytes Concrete Gravel
  • 159. series of enclosed worlds |water - toned down materials - stones baked by local soil - only plantation, water and concrete elements stand out - gravel in watercascade to increase sound
  • 160. series of enclosed worlds | water cleaning Storage + first filter Clean air Wall water transport system Black water Chinese citronella grass hylophytes and gravel Water tank Storage ponds Clarification plant Grey water Clean gutter Helophytes Primary sedimentation Planted trench filter Chengdu water system
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  • 171. result|CHINA 2030 URBAN AREA By 2013 loss of arable land will go below governments minumum of 120million ha 1990 2010 2030
  • 172. result|CHINA 2030 URBAN POPULATION By 2030 urban population will almost double from 572 m in 2005 to one billion 1990 2010 2030
  • 173. result|CHINA 2030 MIGRANTS 70% will be migrants 1990 2010 2030
  • 174. result|CHINA 2030 BIODIVERSITY By 2030 7 to 20% of the landscape will be lost 1990 2010 2030
  • 175. result|CHINA 2030 WATER By 2030 3 billion cubic meters of water is short 1990 2010 2030
  • 176. result|CHINA 2030 ENERGY By 2030 energy demand will triple 1990 2010 2030
  • 177. result|CHINA 2030 AIR POLUTION By 2030 35 million cars will be sold annually 1990 2010 2030
  • 178. result|CHINA 2030 TRANSPORT By 2030 the current subway system need to expand eight times 1990 2010 2030
  • 179. result|CHINA 2030 FOOD By 2030 meat consumption will double 1990 2010 2030
  • 180. result|CHINA 2030 WASTE By 2030 solid waste will increase by 150% 1990 2010 2030
  • 181.
  • 182. result|Technical urban the Wall rural
  • 186.
  • 187. the wall 墙城 The re-discovery of ordinary public places in an alternative urban architec- tural model for Chinese cities – The case of Chengdu Jasper Nijveldt