Transport Modelling

Background

Transport poverty has long been cited as one of the key limitations for individuals and their communities to achieve their potential. In short, transport poverty (cost and time) limits access to resources, jobs, social interaction and mobility. Correspondingly, City Councils need to take account of this in the planning of infrastructure, transport systems and local interventions, such as cycle paths or fare subsidisation. However, there do not presently exist any tools that can enable councils to examine and prioritise areas of the city, and/or appraise possible interventions in a quantitative manner. This project will seek to address this deficiency through the creation of a method and model for Bristol City.

Aim

To develop a prototype method and model for evaluating denizen mobility in Bristol City based on public and free transport infrastructure (buses, bikes, walking).

Approach

This project will develop a methodology for modelling transport poverty (cost and time) in the City and use this model to evaluate (quantitively and qualitatively) interventions that can positively impact or even eliminate transport poverty. The project will involve data collection, extrapolation and modelling using, for example Matlab to determine mobility isoquants within the City based on cost according to percentage of income and travel time. It is envisaged that the model will be used to explore interventions, such as subsidising bus fares, additional routes/services, and new cycle paths/foot bridges. Consideration should therefore be given to how such interventions would be handled in a model/framework.

Recent Blog Posts

  • Modelling Transport Poverty In Bristol - Background Transport poverty has long been cited as one of the key limitations for individuals and their communities to achieve their potential. In short, transport poverty (cost and time) limits access to resources, jobs, social interaction and mobility. Correspondingly, City Councils need to take account of this in the planning… Read More