Open-source platform for participatory mapping. Respondents mark places, draw routes, and outline areas on interactive maps alongside survey questions. Exports GeoJSON and CSV for analysis in QGIS, Excel, or R.
Problems and Purpose
Participatory mapping surveys collect spatially-referenced public input through web-based interactive maps combined with structured questionnaires. They address a core limitation of text-only surveys and town-hall meetings: spatial nuance is lost. A resident who says "the crossing near the school feels dangerous" gives far less actionable data than one who draws the exact crossing, the route they walk, and the area they consider unsafe. Commercial PPGIS platforms solve this technically but add high per-project costs, vendor lock-in, and closed code, pricing out smaller municipalities, researchers, and NGOs. The purpose is to let any organization, regardless of budget, run spatially-explicit consultations where participants draw points, lines, and polygons while answering survey questions in their own language.
Origins and Development
Mapsurvey originated in urban-research practice at the Institute of Design & Urban Studies (IDU) at ITMO University in Saint Petersburg, Russia, and specifically its Quality of Urban Life Laboratory, which studies how residents experience city infrastructure. Researchers needed geo-referenced resident feedback on neighbourhood infrastructure such as bike lanes, crossings, and public spaces, but found commercial tools prohibitively expensive and inflexible. Mapsurvey was built as an open-source alternative on Django, GeoDjango, PostGIS, and Leaflet, licensed under AGPLv3. It is available both as a hosted service at mapsurvey.org and as a self-hosted Docker deployment, so organizations with data-sovereignty requirements can keep participant data on their own infrastructure.
Participant Recruitment and Selection
Recruitment is determined by the survey organizer, not the platform. Typical approaches are open link sharing (via social media, community newsletters, QR codes on posters, or municipal websites, so anyone with the link can respond), password-protected access to restrict participation to a specific group such as a district's residents, and targeted distribution through email invitations to a demographic sample. Surveys are multilingual, with respondents selecting their language on entry, which lowers barriers in linguistically diverse communities, and are mobile-friendly with a crosshair mode for precise input on small screens. There is no built-in identity verification or sampling mechanism, so representativeness depends on the organizer's recruitment strategy, as with any online survey.
How it Works: Process, Interaction, and Decision-Making
An organizer builds the survey in a visual drag-and-drop editor. Surveys have sections anchored to map locations; each section holds questions from thirteen types, including text, number, single choice, multiple choice, rating, date/time, and image, plus three cartographic types: point, line (route), and polygon (area). Sub-questions can appear conditionally, and all questions and answer choices can be translated. A respondent opens the link, selects a language, and answers each section: for geographic questions they interact with an interactive Leaflet map, dropping pins, drawing routes, or outlining areas, alongside the traditional questions. Geographic answers are stored as PostGIS geometries, preserving full spatial fidelity. The organizer then downloads results as a ZIP containing GeoJSON, one file per geographic question, and a CSV for the rest, ready for QGIS, ArcGIS, R, Python, or Excel. The method is consultative: it collects and structures spatial input but has no built-in deliberation mechanism, with decision-making happening downstream when planners or researchers analyze the geodata.
Influence, Outcomes, and Effects
The method is used across urban planning, where municipalities ask residents to identify where bike lanes, crossings, or parks are needed and to draw routes and outline neighbourhoods rather than only drop pins; academic research on perceived safety, accessibility, and environmental quality, exported straight into analysis tools for publication; civic tech and NGOs, for participatory budgeting, public-space assessment, and transit planning; and municipal governance, where self-hosted deployments keep citizen data in-house to meet GDPR and data-sovereignty requirements. Its primary effect is lowering the cost and technical barrier to collecting spatially-explicit public input, so organizations previously priced out of commercial PPGIS can run comparable spatial consultations.
Analysis and Lessons Learned
Strengths: drawing lines and polygons, not just pins, captures spatial relationships that point-only tools miss, such as a pedestrian route or a perceived danger zone; open-source licensing and self-hosting remove vendor dependency and recurring costs; multilingual support suits diverse communities without running parallel surveys; and standard GeoJSON and CSV export fit any existing GIS workflow. Limitations: online-only participation excludes people without internet access or digital literacy, so it should be paired with offline engagement for inclusive processes; there is no built-in deliberation component; the quality of geographic input depends on respondents' familiarity with the map interface and the area; and, as with any open-link survey, response validity depends on the organizer's recruitment and anti-fraud strategy.
