From community input to project insight

Dorple links participation to spatial analysis: it’s not just about counting what participants contribute, but about seeing where and how the neighbourhood is experienced and used. In the partner portal, you can combine AI summaries, map layers, thematic analysis by policy area and programme comparisons into a single privacy-conscious dossier — designed to inform decisions, not to track individuals.

Analysis on a single platform

Dorple Analysis Tools turn data from your project area into actionable evidence for policy and design. Automated image and theme analysis, aggregated mobility patterns on the map (Pulse), an AI-generated project summary and customisable PDF reports are all brought together in a single environment — which can be shared with the council, partners and design teams.

Map analysis: one map, multiple layers

Map analysis — identifying patterns, not tracking individuals

Legibility, comfort of the space: This area addresses legibility, proportions, capacity, lighting and accessibility of public spaces. Dorple links structural AI themes identified in photographs to areas for improvement and ideas for redesign, enabling you to move from isolated reports to zones and recurring patterns.

Participation & mobility
Project items — façades, areas for improvement, places of significance, ideas and stickers/graffiti from the gallery, filterable by type. Route tracking (Pulse) — where participants are active within the project area; time range (24 hours, 7 days, 30 days or the entire period).
Gates — commonly used entry and exit points in the area.
Avoided areas — clusters where the network is systematically avoided (indicative, in conjunction with network analysis).

15-minute city
Accessibility within 15 minutes: education and everyday amenities, viewable by mode of transport (on foot, by bike, by car). This allows you to compare indicators of participation with short-distance accessibility — without the need for separate GIS analyses. Climate

Climate and nature
Green and blue areas within the project area.
Optional: heat islands — indicative heat stress by zone (increased to high risk).
Combine with field signals relating to greenery, shade and water from the gallery in the ‘Greenery & Climate’ section.

Social Infrastructure
Sports, cultural, hospitality and informal meeting venues, filterable by type.
Introduce participation in social infrastructure in the neighbourhood — useful in conjunction with the ‘Social Quality’ policy area.

Context & sources
Documents — project documents and sources (including Wikipedia, manually added, and external sources) on the map.


The interpretation remains with your team; Dorple provides the integrated, privacy-conscious view.

AI & project file

Photo analysis
Dorple automatically analyses images at the level of each individual photo: relevance by policy area, a structured description and tags that you can search for in the gallery.
The participant shares a moment from their neighbourhood; you receive a notification that you can post straight away and compare with other places.

Project dossier & AI summary
At project level, Dorple generates an AI project summary that goes beyond individual items. It links map layers (aggregated mobility, zones by theme), location-specific signals in the gallery, route insights, context about streets and squares, and uploaded project documents.

The result is not a spreadsheet, but a high-quality report: a map of the area, mobility patterns, an analysis by policy area and key findings from the public consultation.

Compare programmes

Several neighbourhoods, one comparative view
If you are working on a programme (comprising several official projects), Dorple compares not only within each neighbourhood, but also across projects.

Programme Dashboard — KPIs side by side: members, contributions by type (buildings, areas for improvement, meaningful places, ideas), status and progress.

Section comparison — compare participation analysis, map analysis, project analysis and other sections on a project-by-project basis within the same programme.

Comparing maps — two project maps side by side, with the same time range and layers (Pulse, project items); colour scale normalised per project.

Comparing questionnaires — for a shared template version: submissions, answered questions and averages per project in a single overview.

This allows you to see where participation or mobility is stronger or weaker — which is essential for village surveys, neighbourhood comparisons or phase evaluations.

Customised reports

That content cannot be contained in a single, fixed PDF.
You can compile reports using export profiles (management, analysis), select sections and their order, view a preview and export the report — supplemented, if desired, with charts, questionnaire results and details for each contribution.

Analysis by policy area

Dorple Analysis Tools turn data from your project area into actionable evidence for policy and design. Automated image and theme analysis, aggregated mobility patterns on the map and an AI-generated project summary are combined in reports that you can share with management, partners and design teams — without tracking individuals.

Social quality

This domain brings together data on time spent in the area, social interactions and the social fabric within your project zone. Dorple classifies location-specific observations (including those from the gallery) according to their relevance to social quality, combines these with key figures, and produces a qualitative thematic summary that you can update without having to rerun the entire project analysis.

Mobility & accessibility

This is where movement patterns, bottlenecks and accessibility come together. Visual and location data from the project are overlaid onto aggregated route data — in a privacy-conscious manner, with thresholds set for each zone — so that you can interpret mobility as a pattern on the map, rather than as individual tracking.

Street culture & vitality

This area focuses on the streetscape and visual indicators in the project area: ranging from general vitality to Street Messages (stickers, graffiti, tags), using AI analysis of photographs and, where applicable, verified indicators. The emphasis is on spatial distribution, clustering and indicative risk/concern indicators — this is not legal advice; interpretation remains with your team.

Environment & Climate

Green & Climate combines field data (photos, ideas, areas for improvement regarding greenery, shade and water) with area-wide indicators from a climate features batch within the project polygon. You will receive both a narrative for each theme and measurable key figures for reports and comparisons between project phases.

Spatial & structural quality

Legibility, comfort of the space: This area addresses legibility, proportions, capacity, lighting and accessibility of public spaces. Dorple links structural AI themes identified in photographs to areas for improvement and ideas for redesign, enabling you to move from isolated reports to zones and recurring patterns.

Automatic theme analysis

Dorple Analysis Tools turn data from your project area into actionable evidence for policy and design. Automated image and theme analysis, aggregated mobility patterns on the map and an AI-generated project summary are combined in reports that you can share with management, partners and design teams — without tracking individuals.

Photo Analysis

Dorple automatically analyses images at the level of each individual photo: themes such as green spaces and climate, mobility, safety or heritage, along with structured descriptions and tags that you can search through in the gallery. A local shares a moment from the neighbourhood; you receive a notification that you can post immediately and compare with other locations.

Project dossier & AI summary

At project level, Dorple generates an AI project summary where necessary, which goes beyond individual items. It links map layers (aggregated mobility, zones by theme), location-specific indicators in the gallery, route insights, context regarding streets and squares in the project area, and uploaded project documents. The result is not a spreadsheet, but a high-quality report: an area overview, mobility patterns, analysis by policy area and key findings that you can locate on the map. This content is not confined to a single static PDF: you can compile reports using export profiles (e.g. administration, analysis, full), select sections and their order, view a preview and export — supplemented, if desired, with graphs, questionnaire results and details for each contribution.

From report to case file

This is how analysis works at Dorple: residents provide input, AI and spatial aggregation turn this into patterns, and reporting translates those patterns into language that can be used in policy, design and consultation. The interpretation remains with people; Dorple provides the integrated, privacy-conscious evidence.

Start with a targeted pilot scheme in your local authority

Big changes start small. You don’t need to overhaul your entire spatial planning policy straight away. Use Dorple to carry out an ‘environmental scan’ for a specific neighbourhood, a complex junction, a redevelopment project, or a targeted survey on student or commuter mobility.

Quick turnaround: Our pilot projects fall below the threshold for direct award (low-value contracts). This means your Mobility or Participation department can get started within just a few weeks, without having to go through cumbersome and time-consuming tendering procedures.