Most cities don’t have a data problem. They have a decision problem.
They have transport data, land-use data, demographic data, environmental data, infrastructure data, satellite imagery, sensor feeds, survey results and policy documents.
The problem is different.
Cities often have too much information and not enough intelligence.
By intelligence, I do not mean more complicated dashboards or more technical maps. I mean the ability to turn scattered evidence into a clear understanding of what should happen next.
That is the real value of geospatial analytics in urban planning. Not data for its own sake. Decision support.
Heatmap example in geospatial mapping.
Data Is Not Evidence Until It Becomes Spatial
A statistic becomes much more useful when we know where it is happening.
- Air pollution is not evenly distributed across a city.
- Heat risk is not evenly distributed.
- Access to public transport is not evenly distributed.
- The ability to walk safely to school, a park, a clinic or a transit stop is not evenly distributed.
This is why spatial analysis matters. It reveals unevenness. It shows where policy targets meet the real geography of daily life.
A city may have a strong climate strategy at the metropolitan level. But when we map vulnerability, movement, land use and infrastructure together, we often see a more precise story. Some districts need cooling. Some corridors need safer movement. Some neighbourhoods need better access. Some places need investment sequencing, not just ambition.
Spatial intelligence helps cities move from general commitment to targeted action.
The Question Comes Before the Map
One of the mistakes I see in data-led planning is starting with the dataset rather than the decision.
The real question is not: what data do we have?
The real question is: what decision are we trying to improve?
If the decision is about active travel, the analysis must look at short trips, barriers, street safety, public transport access and destinations.
If the decision is about climate resilience, the analysis must connect exposure, vulnerability, land cover, infrastructure and public space.
If the decision is about regeneration, the analysis must consider development capacity, movement, social infrastructure, economic context and place quality.
In the Istanbul GCAP work, we didn’t start with all available data. We started with a question: where are the city’s greatest environmental vulnerabilities, and where would investment produce the highest combined benefit for emissions and quality of life? The spatial analysis followed from that. The map was only as useful as the decision it was structured around.
The map is only useful if it is structured around the decision. Otherwise, spatial data becomes visual decoration.
Indicators Should Support Prioritisation
Cities can’t do everything at once.
Which street first? Which district first? Which mobility corridor first? Which climate action first? Which public realm intervention first?
Good indicators help answer these questions. But they have to be carefully designed. If they are too general, they produce obvious results. If they are too technical, decision-makers cannot use them. If they are disconnected from delivery, they remain trapped inside reports.
A useful indicator sits between evidence and action. It helps compare places. It makes trade-offs visible. It supports transparent decisions. It allows progress to be monitored over time.
This is particularly important for SUMPs and GCAPs, where cities need to move from baseline diagnosis to action planning, investment logic, and implementation. The European SUMP guidance frames this as an integrated, evidence-based process. The EBRD GCAP methodology is explicitly designed to help cities identify and prioritise environmental challenges. The principle is simple: analysis shouldn’t end with insight.
It should lead to choice.
The Bottom Line
The cities that will move fastest in the climate transition will not simply be the cities with the most data.
They will be the cities that know how to use data spatially.
They will understand where risk is concentrated, where behaviour can change, where investment can unlock multiple benefits, and where design can turn policy into lived experience.
Maps are useful. But the real value is not the map.
The real value is the decision it makes possible.
Start with the decision. The map will follow.