Applications: Extensively used across 50+ cities under CPL, GAP fund and upon request of other doners to utilize models. Most recent appliations include, the Greater Amman as part of "Future Amman Positioned at a Juncture" report; used in CCDR analysis for Indonesia, Cambodia, Jordan, Egypt, West Bank & Gaza, & India, identification of optimal BRT routes in Indonesia, assessments on efficacy of spatial plans in Indonesian cities, among others.
Data requirement: Spatial data, infratructure costs, list of policy and infrastructure investments across scenarios, well-defined scenarios. Combiation of open source or publicly available data and city data repositories.
Final deliverables: Report on different urban growth scenarios comparing locations of investments or impact of spatial plans or policy levers (EPV, BRT etc.) across indicators such as cost, access, GHG emissions, sprawl etc.
Geographic scope: City
Hazards covered: Various
Indicative Cost / working time: $20-50 K
Methodology peer-reviewed, cleared (date)?: Yes, as part of the DEC DG deliverables under the Global Data Innovation Fund as well as ASAs in which it has been applied. Several comparions have been made with other tools in reports such as those commission by GPSC.
Time required for delivery: 3 months (depending on data availability of qualified firms, internal WB trainings on the tool ongoing with GAP Fund)
The Urban Performance tool, developed by City Planning Labs (CPL) & CAPSUS, assesses a city's present and future performance by creating multiple growth scenarios. These scenarios incorporate various factors such as investment projects, public policies, and land regulations to provide a comprehensive view of potential urban development. This approach enables broader, more accurate, and faster decision-making based on quantitative evidence, ultimately fostering consensus among different stakeholders. The results are then analyzed using a set of indicators linked to the Sustainable Development Goals (SDGs) to evaluate the city's progress towards sustainability.