MiSHar
Micro-Scale Sustainable Mobility Index
MiSHar brings together aerial imagery, OpenStreetMap and population data to compare neighbourhoods and micro-areas through six spatial indicators. It combines deep learning and geographic information systems to support mobility planning with spatial evidence.
Contact Us About MiSHar
From spatial data to planning insight
MiSHar is a research and software project developed by TransportLab Mobility to support sustainable mobility research at neighbourhood and micro-area scales. It aims to assess urban spatial characteristics together and make differences between areas within the same study visible.
The project combines building data extracted from georeferenced GeoTIFF aerial imagery through deep learning with OpenStreetMap data and population figures supplied by users. Municipalities, transport and urban planners, and researchers can examine every indicator in a single workflow.
Users define study zones and indicator weights around their research questions. A relative MiSHar score from 0 to 100 supports comparisons between zones within the same analysis.
Compare neighbourhoods through a shared framework
Mobility infrastructure, the natural environment and urban density are assessed within the same analysis.
Green space share
Assesses the spatial share of green areas within each study zone.
Building density
Compares built-environment density derived from building layers.
Pedestrian path density
Examines the density of paths and connections that support walking.
Cycling path density
Shows how cycling infrastructure is distributed between study areas.
Public transport stop density
Compares access to public transport stops at the zone scale.
Population density
Brings user-supplied population figures together with spatial indicators.
From data to comparable results
Prepare building data
Use an existing building model or train your own, then extract a georeferenced building layer from aerial imagery. Existing OpenStreetMap buildings can also be used.
Define your study areas
Add zone boundaries and population figures, and bring OpenStreetMap layers into the analysis workflow.
Compare and share
Set indicator weights, explore zone results on a map, and report findings through tabular and GIS exports.
Turn findings into ready-to-use outputs
Interactive views and open data outputs help carry results into analysis and reporting workflows.
Let’s explore your city’s mobility data together
Contact the TransportLab Mobility team to discuss how MiSHar could support your research or planning study.
*This project has been supported by the Scientific Research Projects Coordination Unit of Sakarya University of Applied Sciences.