Urban Climate Risk Intelligence

Strategic Question

Which urban areas face the highest compound climate risk - and who is most exposed? Cities face an accelerating combination of heat wave intensity, urban drought, and environmental stress.. This project built a granular urban climate risk framework for a government entity using city-block-level mulitlayered geospatial data, replacing aggregate climate statistics with a spatially precise, multi-dimensional exposure model.

Approach

We developed an integrated spatial risk framework combining environmental monitoring, socioeconomic vulnerability mapping, and mobility accessibility analysis to produce a block-level climate risk index.

The framework combines:

• High-resolution land surface temperature and urban heat island intensity derived from satellite imagery,

• Long-term climatic trend analysis capturing shifting heat wave frequency, duration, and intensity at sub-district resolution

• Vegetation cover and impervious surface mapping to identify cooling infrastructure gaps and drought exposure proxies

• Block-level socioeconomic data

• Mobility and accessibility modelling

• Etc

The result is a composite risk surface that captures not just where heat is most intense, but where it intersects with the populations and infrastructure least equipped to absorb it.

Outputs

For each urban block and neighbourhood tier:

• Compound climate risk score combining physical exposure and socioeconomic vulnerability

• Drought exposure proxy surface derived from vegetation and surface permeability data

• Priority intervention zones ranked by risk severity and population exposure

Strategic Applications

• Urban resilience planning and climate adaptation investment prioritisation

• Infrastructure siting for cooling centres, green corridors, and emergency response facilities

• Real estate portfolio risk assessment incorporating compound climate exposure at asset level

• Public health preparedness — identifying heat vulnerability hotspots before extreme weather events

• Urban development impact assessment for new districts and densification proposals

• Policy targeting — directing social protection and cooling resources to highest-risk communities

The result is a spatially precise, evidence-based climate risk intelligence layer — supporting urban planning and investment decisions that aggregate climate statistics and conventional risk models cannot produce alone.