Mobility Planning

Support to public bodies to improve the monitoring of local mobility, measuring the impact of policies with more accurate and detailed data, allowing more targeted planning.



Measure how accessible the city is by different means of transport

Identify the main access / exit routes used by commuters and pinch points

Determine the most-used routes within the city

Check the correspondence of popular routes against the provision of infrastructure

Identify areas with safety concerns for bicycle traffic

Estimate the demand for cycle parking and compare it with the availability of racks

Estimate the demand for vehicle parking and revenue by area and time range

Use Cases

Crowd-sourced data from smart phone apps can deliver a powerful dataset forplanners to accurately evaluate how people move around their towns and cities.  We have produced various use case scenarios for how this data can be visualised.

Cycle Trip Density

The map shows the density of bike trips as derived from the GPS tracking logs of mobility apps for citizens (e.g. BetterPoints app, Play&Go app, etc).

Each trip has been re-projected onto the road network, allowing for an accurate density count at the level of single road (or cycling lane) and per cycling direction. This approach is useful to monitor quantitatively the mobility habits in a city, town or region: e.g. the actual use of existing cycling lanes can be evaluated, the real demand for parking can be assessed and compared to bike rack availability, risk evaluations for cyclists – such as illegal contraflow riding – can be identified, etc.