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{{semorg-toolbox
{{semorg-toolbox
|name=Community Mapping
|name=Community Mapping
|description=A map-based engagement platform offers the benefits of easier identification of problem areas, low-barrier participation, and high transparency.
|description=The collaboratively created maps, together with the subsequent interviews with the participants, are used to identify the factors that influence everyday transport-related decisions.
|hypothesis=Lack of knowledge of local needs
|hypothesis=Lack of knowledge of local needs
|lock-in-layers=institutional
|lock-in-layers=institutional
|lock-in-cluster=Lack of Motivation/Intention & Habits, Perceived Experience & Evaluation, Political agency
|lock-in-cluster=Lack of Motivation/Intention & Habits, Perceived Experience & Evaluation, Political agency
|tool-maturity-level=TML5
|tool-maturity-level=TML5
|link-material=https://www.maptionnaire.com/, https://www.govocal.com/
|link-information=https://mobilbericht.mobilitaet.tu-berlin.de/communitymapping/
|link-material=https://mobilbericht.mobilitaet.tu-berlin.de/communitymapping/ https://www.maptionnaire.com/, https://www.govocal.com/
|effort-level=medium
|effort-level=medium
|skill-level=low
|skill-level=low

Revision as of 14:31, 20 May 2026

TOOL
Community Mapping
Short description

The collaboratively created maps, together with the subsequent interviews with the participants, are used to identify the factors that influence everyday transport-related decisions.

Unlock-hypothesis

Lack of knowledge of local needs

Lock-in Layers

institutional

Lock-in Cluster

Lack of Motivation/Intention & Habits, Perceived Experience & Evaluation, Political agency

Tool maturity Level

TML5

Link for further information about the tool
Level of effort for application

medium

Skill level needed for application

low

Suitable spatial context

flexible

Spatial limitation

no

Target group

general public, local/district administration, local politicians, city administration, city politicians, residents of particular area, NGOs / local interest groups, users of sustainable modes, car drivers

Visualisation

Tool type

Evidence

Languages

english