MobinFact

To address the challenge, evaluation methods will be developed to quantify key factors influencing mode choice, such as walkability, bikeability, quality of local services and so on.

These methods will be applied to data collected through a mobility survey conducted in various selected neighbourhoods across Germany, Austria and Switzerland. In these areas, the built environment and available mobility services will be systematically assessed using the newly developed evaluation framework.
 

A regression analysis will then be carried out to identify quantitative relationships between structural conditions and mobility behaviour. These findings will feed into the development of a calculation tool that enables the estimation of mobility impacts based on local conditions. Finally, all components will be consolidated into a toolbox.

At the end of the project, MobInFact will provide an easy-to-use toolbox that integrates spatial and socio-demographic data. The development of the toolbox builds on two core scientific findings:
a) A methodology to operationalise spatial and socio-demographic characteristics of neighbourhoods for individual-level quality assessments.

b) A methodology to calculate the modal split and the transport performance of the resident population with minimal data requirements.

The toolbox will enable planners and decision-makers to estimate the impact of 15mC measures on key mobility indicators, such as modal split and travel distances.

In doing so, MobInFact enhances our understanding of how the built environment and mobility services shape travel behaviour. These insights support more effective, evidence-based decisions in urban and transport planning in general.