Tim stonor_Istanbul Smart Cities Workshop

1. Technology is GREAT, Smart Cities Session Istanbul, 18th March 2014 Tim Stonor Architect & Urban Planner t.stonor@spacesyntax.com @Tim_Stonor Move, interact, transact The human dimension of Smart Cities

2. Tim Stonor Predictive analytics For urban planning, building design & spatial economics Technology is GREAT, Smart Cities Session Space Syntax © 2014 What is the city for? The city is for transaction Social Economic Cultural

3. A natural asset with enormous intrinsic value Transaction machine

6. Tim Stonor Predictive analytics For urban planning, building design & spatial economics Technology is GREAT, Smart Cities Session Space Syntax © 2014 1. Resource availability Scarce & diminishing 3. Future visioning Fanciful & un-evidenced 6. Consultation Problematic & uncollaborative 7. Decision-taking Hesitant 5. Impact forecasting Inaccurate 4. Financial backing Short-term & unaccountable Urban planning in the 21st Century Some challenges 2. Data integration Overloaded & disconnected

10. Tim Stonor Predictive analytics For urban planning, building design & spatial economics Technology is GREAT, Smart Cities Session Space Syntax © 2014 ObserveObserve ExplainExplain ForecastForecast DeliverDeliver Trafalgar Square, London Spatial design process

11. Tim Stonor Predictive analytics For urban planning, building design & spatial economics Technology is GREAT, Smart Cities Session Space Syntax © 2014 Connected layout 建议的布局Dislocated layout 破碎的布局IntegrationR400 High accessibility score 高通达性Low accessibility score 低通达性 Dislocated layout 破碎的布局 Connected layout 建议的布局 Difference 差别 IRR 内部收益率 11% 14% + 27% NPV 净现值 £47 Million £ 145 Million + £98 Million

16. People 1.Behaviour 2.Wealth 3.Health 4.Safety 5.Cultural identity Resources 1.Materials 2.Energy 3.Finance 4.Utilities supply 5.Waste handling Urban Form 1.Spatial Form 2.Physical Form -capacity -location -condition -value ddActions v3 ddDecision-taking Environment 1.Sun 2.Wind 3.Rainfall 4.Groundform 5.Biodiversity Visualise Urban Data Collective Integrated platform for performance data How is the place working? ddUncertainty Conceive Urban Strategy Integrated urban policy and practice What are the opportunities for change? Forecast Urban Forecast Model Scenario testing & performance forecasting How will performance be affected by change? Simulation & Optimisation of Options Development of Preferred Option Explain Urban Performance Model Integrated urban diagnostics: spatial analytics Why does the place work the way it does? Urban Baseline Study Urban Impact Analysis User interface/state Behaviour change Decision groups Data Data inputs 1 2 3 4 5 6 Integrated Urban Model

17. Tim Stonor Predictive analytics For urban planning, building design & spatial economics Technology is GREAT, Smart Cities Session Space Syntax © 2014 2. Data integration Spatial Accessibility Framework 3. Future visioning Dynamic Urban Modelling 6. Consultation Engaging people around “place” 7. Decision-taking Bold but risk reduced 5. Impact forecasting Focus on human transaction 4. Financial backing Urban Value analysis Urban planning in the 21st Century Addressing challenges 1. Resource availability Integrated Places Strategy

20. Tim Stonor Architect & Urban Planner t.stonor@spacesyntax.com @Tim_Stonor www.spacesyntax.com

Notas del editor

I think it’s important that we start with some of the challenges facing current urban planning practice worldwide.
SkyCycle is born of an interest in how the city connects. My company, Space Syntax, has created a unique approach to Spatial Network Analytics. We predict the movement of people in cars, on foot and on bikes and, as with SkyCycle, our work is often about spotting strategic opportunities to make cities work better for people.
This Integrated Urban Modelling approach addresses those urban challenges I listed at the start of this presentation. It takes different kinds of data inputs across the top of the page. Then by first Visualising, then Explaining data correlations it allows urban planning ideas to be Conceived and their impacts to be Forecast. My experience has been that this takes people from a state of Uncertainty, through Awareness of key issues, to become contributors themselves of Ideas for Change, all of which aids in the Consultation and Decision-taking processes. With the ultimate aim being to take actions that lead to behaviour changes in pursuit of higher order goals of social cohesion, economic productivity and carbon reduction.
So if we look again at the challenges, my view is that predictive analytics can address each of them, allowing ultimately for decisions to be taken that might seem bold but are actually risk reduced.

Tim stonor_Istanbul Smart Cities Workshop

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