UC Berkeley Seminar: Leveraging Bicycle Demand Data for Risk Evaluation

Friday, May 6, 2016 - 3:30pm to 5:00pm UC Berkeley, Bechtel Engineering Center, Room 240

“Leveraging Bicycle Demand Data for Risk Evaluation”
Frank Proulx, University of California Berkeley
 
Friday, May 6
3:30 PM Cookies and Coffee
4-5 PM Seminar
  
ABSTRACT: Cities and countries around the world are increasingly interested in promoting bicycling as a space- and energy-efficient mode of transportation. As part of these initiatives, there is a simultaneous interest in decreasing the number of crashes involving cyclists. However, in order to simultaneously increase ridership and decrease the number of crashes, measures must be taken to reduce crash risk. Understanding the factors affecting crash risk requires a measure of “exposure,” which is operationally defined as bicycle and motor vehicle traffic volumes on the network. Along with these shifting policy interests, we are currently seeing an explosion in the availability of data on bicycle demand, between increasing usage of automated counting infrastructure, crowdsourcing via smartphone applications, and the adoption of public bikeshare systems. In this talk, I will present on methods to infer link-level bicycle volumes across an urban network based on these various emerging datasets, with an eye towards risk analysis. This method will be presented within the context of a case study of San Francisco, CA.
 
BIO:  Frank Proulx is a PhD Candidate in Civil and Environmental Engineering at UC Berkeley. Prior to beginning his PhD, he completed a dual masters degree in City and Regional Planning and Transportation Engineering at UC Berkeley. He has worked as a researcher at the Safe Transportation Research & Education Center (SafeTREC) throughout his time at Cal, where he focuses on data collection methods for non-motorized modes of transportation. He has worked on projects involving testing of automated volume data collection technologies, as well as developing methods for collecting and storing non-motorized infrastructure information.

Info here