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https://www.nationalacademies.org/trb/events

Systemic Safety Analysis and Assessment of Bicycle and Pedestrian Crash Risk: Developing Risk Factors using the Multimodal Inventory Project Data

Inconsistent and incomplete data on multimodal infrastructure and operations limits Oregon Department of Transportation's (ODOT’s) ability to develop data-driven risk factors. Accurate and up-to-date bicycle and pedestrian risk factors are necessary inputs for ODOT programs aiming to proactively address active transportation safety, as they can help identify locations with geometric and operational characteristics that lead to increased crash risk for active transportation users. The Multimodal Inventory Project offers new data and a unique opportunity to develop more rigorous, data-driven bicycle and pedestrian risk factors. Leveraging these new data and methodologies, in addition to crash data and exposure data, will enable analysis that can identify roadway and operational characteristics most strongly associated with bicycle and pedestrian crash risk. OBJECTIVES: This research will provide ODOT with up-to-date, high-quality bicycle and pedestrian risk factors to be used for proactive safety analysis. The anticipated outcome of this research is to develop these new bicycle and pedestrian risk factors by leveraging new multimodal data from the Multimodal Inventory Project and by applying more rigorous risk factor methodologies. The latter will be accomplished by developing a Risk Factor Tool that relies on data inputs and analysis results to provide site-specific bicycle and pedestrian risk assessments. Objectives of this research include: (1) A comprehensive review of studies that develop bicycle and pedestrian risk factors and/or apply them, methods used to derive bicycle and pedestrian risk factors, and current policies and practices implemented through Active Transportation Safety Plans and Vulnerable Road User Safety Assessments; (2) A data collection and fusion process that combines existing and new Multimodal Inventory Project data; and (3) Development of bicycle and pedestrian risk factors using an integrated approach that leverages descriptive statistics and safety modeling techniques, resulting in a Risk Factor Tool to conduct site-specific risk assessments. This research will provide ODOT with up-to-date data and risk factors to improve bicycle and pedestrian safety, addressing Transportation Plan Safety Objectives, Social Equity Objectives, and Mobility Objectives.