Dr Kevin Credit is an Assistant Professor in the National Centre for Geocomputation at Maynooth University.
This talk discusses a new method to dynamically model urban passenger mode trade-offs at fine-grained spatial and temporal scales using open spatial routing data available from sources like OpenTripPlanner (OTP).
This approach can be used to calculate dynamic modal trade-offs for specific times, routes, and geographic areas of interest, providing a framework for creating mode choice profiles for individual cities and neighbourhoods. Importantly, it is a resource that can be used by planners to better understand how to foster the use of non-auto travel modes, which is a crucial component of achieving urban sustainability goals in the age of climate change.
The talk demonstrates uses of the dynamic mode choice framework to explore structural inequities in mobility for various demographic groups in Chicago as well as international comparison of transportation mode profiles between European and North American cities.