Wednesday, November 15, 2017

Evidence-based planning and optimization of bicycle infrastructure

Suggested by: Martin Loidl, Bernhard Zagel

Short description: The provision of adequate infrastructure is crucial for promoting active mobility, especially bicycling. Consequently, cities that aim to increase the modal share of bicyclists are planning to build and improve dedicated bicycle infrastructure. However, the positive effect of these efforts can only be gained when the infrastructure is connected and embedded into a seamless network. In contrast to this “ideal world vision”, decisions in infrastructure planning and building are often made based on pragmatic reasons and personal/subjective judgments.
Geographic information systems can help to provide an evidence base for infrastructure planning and optimization. For this the GI Mobility has already developed an indicator-based assessment model, which allows quantifying the quality of the road space in terms of bicycle safety and comfort. Based on this model a workflow should be conceptually developed and tested that consists of status-quo analysis, suggestions for corridors and network hierarchies as well as of effect estimation. The model interaction and the communication of results should preferably be implemented in a web environment.
Additionally to the model and pre-processed road data, we provide highly detailed socio-demographic data. Linking this research to the current FamoS (development of a high resolution bicycle flow model) project is possible and appreciated.

References, suggested reading:
Start/finish by: Anytime.

Prerequisites/qualifications: Skills in data management and analysis as well as in scripting/programming are required. Experiences from any planning domain are advantageous.

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