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Ecosystem Service Optimization in Cities

Philip Stessens
PhD Student

philip_stessens@ulb_ac_be

ECOLE
 .  4  UNIVERSITE ...
ASFIO BUREAU BAS SMETS COSMOPOLIS

minmmm norm
mrcmw M! 

 

MENDES DA ROCHA

   

  
  

END OF LINE: 
PUBLIC LECTURES

n...
UI. B

Building,  Architecture &
Town Planning Department

Prof.  Ahmed Z.  Khan
Supervisor

/35‘

iNNov'“'5

Building,  A...
1 .  Research Proposal

2. Work Package l + II

3. Considerations

 

V7,»,  ECOLE
;  ‘/  p0|_Y'| 'EC| -|N| QuE UNIVERSITE...
Ecosystem Services for the Sustainable Development of the BCR
Towards an Ecological Approach for Urban Design and Planning...
Urban environmental quality (UEQ) provides a quantitative measure of quality
by assessing physical characteristics and com...
1. Research Proposal
Study focus

How ecosystem services Urban Environmental Quality How ecosystem services
influence people directly influence...
Dis-

semination

Stream

Research
Stream

Research
by Design
Stream

/ 

>

PREPARATION

Project Structure

ANALYTICAL FR...
BCR Challenge: 

Increase of urban environmental quality
— Whilst dealing with —
demographic growth /  heat wave event inc...
BCR Challenge: 

Increase of urban environmental quality
— Whilst dealing with —
demographic growth /  heat wave event inc...
Demographic
growth

   
   

     

Fte-urbanization

          

Urban heat island
expansion

Runoff
increase

  
   

in...
Fie—urbanization

    

  

Spatially
differentiated
methods and
policies for an
optimized. ..

314%

green space / person...
Fte-urbanization

Indicators

     

GIS environment
Scenarios Development
framework

Analytical
framework

   
  
  
  

...
Delineation: 

regulating and cultural ecosystem services
on an intra—urban scale

in and around the Brussels Capital Regi...
2. Work Package I + II
WP1 - Preparation

Remote sensing  ‘

 

Scientific
Output

   

Literature . ,
Review , 
.

Heat flux Charactelsltlcs Veget...
WP1 - Preparation

 

Scientific
Output

 

Literature
Review
Training
Data
Collection

. ,T-. 

Stakeholder
Comact

Data C...
Scientific
Output

 Literature 1
V Review '
:  Training ~ . 

 

 

 Stakeholder I
Contact *

Data Collection

1 Framing

2...
Scientific
Output

Proximity

3 Analysis 8.
_ . ; Questionnaire

 

   
   

L

L

J7"

WP2 - Proximity Analysis

Input dat...
Scientific
Output

Proximity
Analysis 8.

_  Questionnaire

 

   
    
    

L

L

J7"

WP2 - Proximity Analysis

Input da...
Scientific
Output

Proximity

3 Analysis 8.
_ . ; Questionnaire

 

 

L

L

Jr Nei_g hborh-cod-g r-ee-n

WP2 - Proximity A...
WP2 - Proximity Analysis

 

Input data

      
  
   

       
    
 

5g; ';; I;° (Methodology) # persons m2 housing  _
...
WP2 - Proximity Analysis

   
  

Input data

      
  
   

 

natural

  

       

Scientific _ _
Output (Methodology) d...
3. Considerations
ECOLE
POLYTECHNIQUE
DE BRUXELLES

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Ecosystem Service Optimization in Cities
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Ecosystem Service Optimization in Cities

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Ecosystem Service Optimization in Cities

  1. 1. Ecosystem Service Optimization in Cities Philip Stessens PhD Student philip_stessens@ulb_ac_be ECOLE . 4 UNIVERSITE LIBRE DE BRUXELLES - - Ilr 1 DEBRUXELLES
  2. 2. ASFIO BUREAU BAS SMETS COSMOPOLIS minmmm norm mrcmw M! MENDES DA ROCHA END OF LINE: PUBLIC LECTURES n: -.= .'a'iEr. - _—_= s:". @' '. "s_'. .-=25 = _ ESEARCH BY DESIGN I AND PUBLIC POLICY $43921. ECOLE . UNIVERSITE LIBRE DE BRUXELI. ES - A III’ DEBRUXELLES
  3. 3. UI. B Building, Architecture & Town Planning Department Prof. Ahmed Z. Khan Supervisor /35‘ iNNov'“'5 Building, Architecture & Town Planning Department Philip Stessens Phd student 8 Geography & GIS Research Group Prof. Frank Canters Co-supervisor V Hydrology & Hydrologic Engineering Department Prof. Marijke Huysmans Co-supervisor
  4. 4. 1 . Research Proposal 2. Work Package l + II 3. Considerations V7,», ECOLE ; ‘/ p0|_Y'| 'EC| -|N| QuE UNIVERSITE LISRE DE BRUXELLES '_| ]_L‘, '_: {_, TI 1. DE BRUXELLES
  5. 5. Ecosystem Services for the Sustainable Development of the BCR Towards an Ecological Approach for Urban Design and Planning ECOLE " ‘/ I“ po| _Y'| 'Ec| -|N| QuE UNIVERSITE LIBRE DE BRUXELLES ' A v[ . . DEBRUXELLES
  6. 6. Urban environmental quality (UEQ) provides a quantitative measure of quality by assessing physical characteristics and composition of urban landscapes, rather than social compositions (1) [. _.] a complex and spatially variable parameter which is a function of interrelated factors including the urban heat island, the distribution of greenery, building density and geometry, and air quality (2) For people living in large and dense cities, a good quality of life depends largely on the quality of the urban environment (3) Ecos stem Services for the Sustainable Development of the BCR Towards an Ecolo roach for Urban Design and Planning Urban Environmental Quality (UEQ) (1) van Kamp et al (2003) (2) Nichols and Wong (2005) (2) Van Leeuwen et al (2006) ECOLE , 4 po[_Y']'Ec| -|N| QuE UNIVERSITE LIBRE DE BRUXELLES ULB A III’ DE BRUXELLES
  7. 7. 1. Research Proposal
  8. 8. Study focus How ecosystem services Urban Environmental Quality How ecosystem services influence people directly influence physical processes , ,,, ,,, ,,, ,,, ,,, ,,, ,,, , EL
  9. 9. Dis- semination Stream Research Stream Research by Design Stream / > PREPARATION Project Structure ANALYTICAL FRAMEWORK DEVELOPMENT FRAMEWORK Training Data j Collection Stakeholder Contact Proximity Analysis & Questionnaire Scientific Output Environmental Modeling Workshop 1 Indicator Development Scientific Output Scenario Development I RbD Workshop 3 DISSEMINATION Dissemination and Scientific Valorization
  10. 10. BCR Challenge: Increase of urban environmental quality — Whilst dealing with — demographic growth / heat wave event increase / drought flood risk increase l l l Imia ‘ ‘ § , C I ~ ~ . ., .. § i _i . I a i v4‘L_, ‘,, «'/ *‘~. .» I. v ‘ 5 S 3 ‘ , _ _ _ , , , I _ I o , , , , ( . 5° 9° 00 ‘U 20 3“ 42.. .. ,=. =x. .,m ’ I 44:3.‘ yen, .. .. . ... , . ..: m_ r. .,. ,, __r: ._, ‘ -. ... . . . , 500m2 ‘ l 3 I l E " 3- 5 F 4.. m I an 0 u. § l I. .. E i 2 9 0 ‘ ii I u wHom , 0 i g _ Em:
  11. 11. BCR Challenge: Increase of urban environmental quality — Whilst dealing with — demographic growth / heat wave event increase / drought flood risk increase ; s‘<l. EI rmim climaic IAlI| l 7 Ms‘. .. E mink‘ V9” Figurelfi on u. the number cl mi wave mm ill we [limit clinic [mm c refirence. nmme. .. ..a mime mm elm: mzear, cm. m. .. . ... .m. ... .. . .i. . any M. .. of Emxselx. in: Lima rubiirbui um. .. and me Bniuegprrr mm: mo. 500m2 , I 3 . ... ... ... ... ... . E I E 2 E I «- c 3. § I r. .. E I 1: e w I : : I I4 3 a WHO nu , 0 _ E l _» _ 9.. .: os 30 '05 so Brussels Flanders Research question: How can ecosystem services be taken up in a framework / tools / methods — for — policy makers / urban designers / planners — to — optimally address this interconnected challenges?
  12. 12. Demographic growth Fte-urbanization Urban heat island expansion Runoff increase indirect disadvantages Resource cost Heat stress (in BL) Flash flooding Increase of heat Increase of extreme wave events weather severity Global warming Climate change (in BCR); Economic cost Less qualitative green space / person Health cost Ecosystem erosion less precipitation (average)
  13. 13. Fie—urbanization Spatially differentiated methods and policies for an optimized. .. 314% green space / person Green space -- .3.) -- g -- . ... ... .. -- I I ' Ecosystem services
  14. 14. Fte-urbanization Indicators GIS environment Scenarios Development framework Analytical framework Less qualitative green space / person Ecosystem services Green space E
  15. 15. Delineation: regulating and cultural ecosystem services on an intra—urban scale in and around the Brussels Capital Region through GlS—based analysis yielding spatially explicit inclici for scenario evaluation and design responses (Time frame) Prospective climate models (+/ — 200km) 2013 2100 Prospective climate models in cities (1km) 2013 2100 year J J J I J ‘71 ‘81 ‘91 ‘01 2011 2051 2100 Landsat thermal imagery 1984 2014 year I léljl (‘71) ‘86 ‘99 2011 2046 RbD'? 2100
  16. 16. 2. Work Package I + II
  17. 17. WP1 - Preparation Remote sensing ‘ Scientific Output Literature . , Review , . Heat flux Charactelsltlcs Vegetation . ,T-. Data Collection Stakeholder Comact i Ground water balance GW MODEL A J Welspass / : s“. :.': -gm / Data Collection 1 Framing 2 Gathering 3. Pre—processing 4 Quantitative analysis
  18. 18. WP1 - Preparation Scientific Output Literature Review Training Data Collection . ,T-. Stakeholder Comact Data Collection 1 Framing 2 Gathering 3. Pre—processing 4 Quantitative analysis
  19. 19. Scientific Output Literature 1 V Review ' : Training ~ . Stakeholder I Contact * Data Collection 1 Framing 2 Gathering 3. Pre—processing 4 Quantitative analysis Preliminary reading 9°/ O Forest 7°/0 Park 2% Street gree 1% Water 0 Private open space 42 / ° (to classify) 1% unidentified 1 070 Street v 7% Sidewalklsquare Q Q 229/9 Roofs +35% Walls (57km2) Known 63°/ a ‘ Public Regulated
  20. 20. Scientific Output Proximity 3 Analysis 8. _ . ; Questionnaire L L J7" WP2 - Proximity Analysis Input data (Methodology) I Building Block green [1, . J, _ _ _ _ _ _ _ _ _ _ . l Neighborhood green [1, _ _ _ _ _ _ _ _ _ . l Functional green space Green space proximity (integrated) Should be Existing or easy to produce Updated frequently Easy to manipulate (scenario) Reduced to a minimum Based on existing models Capturing the essential Easily adaptable Modular Automated skillful Easy to read and understand By preference (partly) comparable to other studies Inform validation of model Format I Environment Shapefile/ raster/ table Multispectral aerial/ satelite images Indicators (i. a_ Monitoring Quartiers) Arcmap + Python Raster based (fuzzy analysis)
  21. 21. Scientific Output Proximity Analysis 8. _ Questionnaire L L J7" WP2 - Proximity Analysis Input data (Methodology) I Building Block green [1, . J, _ _ _ _ _ _ _ _ _ _ . l Neighborhood green [1, _ _ _ _ _ _ _ _ _ . l Functional green space Green space proximity (integrated) Vanderhaegen [DGGF] Van de Voorde [DGGF] Van Herzele (2003) Stessens [BATir] Indicator 2.1 Indicator 2.2 Indicator 2.3 Typology
  22. 22. Scientific Output Proximity 3 Analysis 8. _ . ; Questionnaire L L Jr Nei_g hborh-cod-g r-ee-n WP2 - Proximity Analysis Input data (Methodology) I Building Block green [1, .1 Designed for: Comparing cities & city parts Assessment of the effects of future policy scenarios Indication of locations where action is required Principles: Citizen based Functional levels Preconditions for use Variety of qualities Multiple use 2-step model: Accessibility Attractiveness Focus: Change over time rather than state
  23. 23. WP2 - Proximity Analysis Input data 5g; ';; I;° (Methodology) # persons m2 housing _ V per block per block er erson ‘I (neigh. scale) catchment per green space Attractiveness likeliness to stay for particular green space Indicator 2.3 Output , Comparison: Proximity Analysis 8. . I . . Quesfiomaile Building Block green [1, green space shapef. L _ _ _ _ _ _ _ _ _ _ J, Neighborhood green I. _ _ _ _ _ _ _ _ _ . l Functional green space 1 I Green space proximity I .1 parameters JiLe_La1uLe g, u_e_sti_QnnaiLe A8/ST — — — — — — — — A distance A/ TTWGTP barrier & level Ghent K ortri/ "k
  24. 24. WP2 - Proximity Analysis Input data natural Scientific _ _ Output (Methodology) diversity t catchment per < green space rrolximityél I _ _ _ _ _ _ _ _ _ _ cultural "f . na sis - » - - Quesgjnnaile Building Block green [17 Ste 2 historical ‘ L _ _ _ _ _ _ _ _ _ _ .1 II N9I9hb°Ih°0d W99“ Attractiveness L _ _ _ _ _ _ _ _ _ . l Functional green space I likeliness to stay for particular quietness n_Qj_s_e_m_ap_s green space (approx. ) I Green space proximity I facilities Indicator 2.3 Output , Comparison: Aa/ st Antwerp Ghent K ortri/ "k II E 5' D- + literature guestionnaire ‘ distance barrier & level
  25. 25. 3. Considerations
  26. 26. ECOLE POLYTECHNIQUE DE BRUXELLES UNIVERSITE LIBRE DE BRUXELLES'

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