Using Heterogeneous Demand Data Sources as Exposure in a Bicycle Risk Model

Author: Frank Proulx, UC Berkeley

Summary: 

Quantifying risks and the effects of risk factors requires controlling for exposure, or the number of opportunities for the adverse outcome in question to occur. In the context of traffic crashes, traffic volumes are frequently used as an exposure measure. Efforts to study bicyclist crash risk have historically been hindered by the lack of widespread exposure data. This study presents methods to estimate bicycle traffic volumes across an entire urban network.

Abstract