Bicycle crash risk: How does it vary and why?
PI: R. Liggett, UCLA; Co-PI: Jill Cooper, UC Berkeley 
$60,000

Abstract: Bicycle crashes constitute a disproportionate fraction of injuries and fatalities, but bicycle crash risk has been poorly understood due to a lack of exposure data. Few studies have examined a large enough dataset of both crashes and bicyclist volumes to draw larger conclusions about factors contributing to bicycle crash risk. This study aims to model bicycle crash risk at about 100 intersections in the Los Angeles area as a function of design characteristics and operational characteristics. Count data are available from the recently created Los Angeles County Bike Count Data Clearinghouse, as well as supplemental counts that will be conducted during the proposed project. Bicycle crash data are readily available via the Statewide Integrated Traffic Records System (SWITRS). We will construct an explanatory model for crash risk that indicates which factors are associated with high crash risk and should thus come to the attention of planners and policymakers. Our work will yield planning and policy implications regarding the siting and design of bikeways and bicycle safety countermeasures. We’ll produce several policy briefs discussing the implications of the research.

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