Crowdsourcing maps for informal settlements in Jakarta
Jakarta’s rapid growth has produced a complex urban landscape where formal neighborhoods, kampungs, industrial areas, flood-prone zones, and newly developed districts exist side by side. Official maps often capture roads and property boundaries well, yet they may provide limited detail about informal housing, shared facilities, drainage conditions, or the everyday routes residents use.
Community-based mapping can help fill those gaps. By combining local knowledge with satellite imagery, mobile data collection, geographic information systems, and government records, planners can develop a more current picture of underserved settlements. The aim is not simply to create a digital map, but to support safer infrastructure, fairer public services, and more inclusive urban development.
For a multi-stakeholder platform such as ICTD-ASP, this approach connects digital transformation with practical development priorities. It can bring municipalities, residents, universities, technology firms, civil society organizations, and development partners into a coordinated process.
Why informal settlements need better spatial data
Informal settlements are often dynamic. Housing structures may change quickly, lanes can be too narrow for conventional surveys, and public assets such as water points, toilets, clinics, and waste collection sites may not appear in administrative databases. Seasonal flooding can also alter access routes and living conditions within a matter of hours.
A detailed settlement map helps reveal these realities. It can show where households face unreliable water supplies, which alleys lack emergency access, and how schools or health facilities are distributed. Spatial evidence also supports risk assessments, land-use planning, upgrading programs, and more precise allocation of municipal resources.
Mapping must be handled carefully because location data can expose residents to eviction, discrimination, or privacy risks. A responsible program should record only necessary information, explain how data will be used, and protect household-level details from unnecessary disclosure.
Residents as mapping partners
Crowdsourced mapping works best when residents are treated as knowledge partners rather than passive sources of information. Local participants understand place names, access constraints, flood patterns, service gaps, and social boundaries that may be invisible in aerial imagery. Their contribution can improve the accuracy and relevance of urban datasets.
Training should cover mobile mapping applications, GPS basics, photography protocols, consent procedures, and data quality checks. Community mapping teams can then collect information about footpaths, drainage channels, waste points, public lighting, water infrastructure, and buildings used for education or healthcare.
Participation should include women, people with disabilities, renters, migrant groups, older residents, and young people. Different groups experience the same neighborhood in different ways. Inclusive fieldwork reduces the risk that a map reflects only the priorities of local leaders or the residents who have the most time and digital access.
Combining local knowledge with digital tools
A strong mapping workflow uses several sources rather than relying on a single dataset. OpenStreetMap, satellite imagery, drone surveys where permitted, municipal records, and field observations can be compared to identify missing or conflicting information. Geographic information systems then organize these layers for analysis and planning.
Mobile data collection can include coordinates, photographs, standardized forms, and offline functionality for areas with weak connectivity. Machine learning may help identify rooftops, waterways, or changes in land cover, but automated results should be reviewed by people familiar with the neighborhood.
The following approaches offer different advantages for Jakarta’s urban planning context:
| Mapping approach | Main strength | Common limitation | Suitable use |
|---|---|---|---|
| Community field surveys | Captures lived experience and service conditions | Requires training and sustained participation | Settlement upgrading and local infrastructure |
| Satellite imagery | Covers large areas quickly | May miss indoor conditions and narrow alleys | Land-use change and flood-risk analysis |
| Open mapping platforms | Encourages shared, reusable data | Quality can vary between contributors | Base maps and public awareness |
| Municipal administrative data | Supports official planning processes | Can be outdated or incomplete | Service coordination and policy decisions |
| Participatory GIS workshops | Builds agreement around local priorities | Can take time and skilled facilitation | Neighborhood plans and project design |
Turning maps into planning decisions
Mapping creates value when it informs a clear decision. A city agency might use the data to prioritize drainage improvements, identify locations for emergency shelters, plan waste collection routes, or coordinate water and sanitation investments. Development partners can use verified spatial evidence to design projects that respond to actual settlement conditions.
Maps can also support scenario planning. Planners may compare the effects of flood protection, road widening, public transport improvements, or relocation proposals. When residents can review proposed changes on a shared map, discussions become more concrete and potential conflicts can be identified earlier.
Data should be published in accessible formats wherever possible. A public-facing map might show facilities, hazards, and planned projects without revealing sensitive household information. Technical datasets can be shared with authorized agencies and partners under clear governance rules.
Building trust and protecting communities
Trust is essential because mapping may be misunderstood as a precursor to eviction or intensified enforcement. Project teams should explain the purpose of data collection in plain language and distinguish service planning from land-tenure decisions. Residents need practical information about who owns the data, who can access it, and how errors can be corrected.
Consent should be appropriate to the activity. A photograph of a public drainage channel may require a different process from recording a household’s location or personal circumstances. Data systems should use role-based access, secure storage, anonymization, and retention limits.
Independent oversight can strengthen accountability. Community representatives, public agencies, researchers, and civil society organizations can review collection methods and monitor whether the data leads to beneficial outcomes. This is especially important when maps influence investment decisions or the prioritization of neighborhoods.
Making the program sustainable
A short mapping campaign may generate useful information, but urban conditions will continue to change. Jakarta needs maintenance arrangements that define who updates the data, how often verification occurs, and which agencies respond to reported problems. Universities and local technology groups can help maintain tools and train new community contributors.
Funding should cover more than software and equipment. Budgets need to include facilitation, translation, accessibility measures, participant compensation, quality assurance, cybersecurity, and long-term data stewardship. Partnerships supported through ICTD-ASP can connect technical expertise with investment and capacity-building resources.
Useful performance measures include the number of verified facilities mapped, the time required to update records, the diversity of participating residents, and the number of planning decisions informed by community data. The most important measure is whether mapping contributes to improved services, reduced risk, and fairer treatment for underserved communities.
Practical priorities for implementation
A Jakarta pilot can begin with a limited number of neighborhoods facing clear service or climate risks. Starting at a manageable scale allows partners to test consent procedures, data standards, training materials, and feedback mechanisms before expanding across the metropolitan area.
Recommended priorities include:
- Establish a shared data governance framework among city agencies, community groups, and project partners.
- Train local mapping teams with accessible tools, offline features, and clear safety protocols.
- Combine resident observations with satellite imagery, open datasets, and verified administrative records.
- Publish non-sensitive results through an accessible platform and provide channels for corrections.
- Link mapped needs to funded infrastructure, resilience, and public-service programs.
When community knowledge is integrated into formal planning systems, informal settlements become more visible in policy discussions without reducing residents to data points. ICTD-ASP can help convene the partnerships, technical support, and investment needed to turn participatory mapping into practical urban improvements. Development actors working in Jakarta can use this model to build a shared evidence base and advance digital solutions that strengthen inclusion, resilience, and public services.