Developing Scalable Models for Safety Insights and Improvements Using E-Scooter Exposure Data [supporting datasets]
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2022-06-30
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Abstract:The U.S. Department of Transportation (DOT) is leading a Safety Data Initiative (SDI), to enhance the analysis and visualization that informs safety policy decisions. Populus was selected to perform analysis and assess the quality of leveraging GPS trip trace data from micromobility operators such as Lime, Bird, and Superpedestrian (LINK), to serve as a reliable source of exposure data. Using a year’s worth of GPS trip trace data from multiple micromobility operators in several cities, Populus developed map- matching algorithms to align GPS trip trace data to custom maps of bike networks and bike master plans in cities. Populus additionally gathered bicycle and pedestrian crash data, including injuries and fatalities, to produce more comprehensive visualizations of micromobility data analysis to support accelerated network improvements for vulnerable road users, including pedestrians, bicyclists, and increasingly diverse micromobility device users. With the introduction of dockless, shared micromobility cities have access to more extensive data than ever before to accelerate safety improvements. Through this project, Populus demonstrated how scalable models to map-match detailed GPS trip trace data to networks of interest can be overlayed with reported crash data for key safety insights. This scalable tool is designed to help makers and planners make faster, data-driven decisions to improve safety and reduce traffic fatalities for an increasingly diverse set of road users.
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