A Framework for Assessing Pedestrian Exposure Using GPS and Accelerometer Walking Data
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2024-07-01
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Edition:Final Report
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Abstract:Crashes involving pedestrians represent 19% of all motor-vehicle-related fatalities in the United States. Quantifying safe pedestrian travel requires a better understanding of the likelihood that a pedestrian will be involved in a potentially harmful pedestrian-vehicle interaction. This is achieved by obtaining a good pedestrian exposure metric, which will let traffic safety experts and policymakers differentiate between emerging risks and changing patterns of exposure. From this exposure metric, countermeasures can be tailored for different pedestrian walk patterns. The study team first examined pedestrian exposure metrics used in past studies. The team then used data collected from electronic devices from two previous longitudinal studies on walking in the Seattle, Washington, area. Estimates of pedestrian exposure were built on “walking bouts,” which are time segments of physical activity during which walking was measured to have occurred. The unit of analysis was at the intersection level. Two models were developed: a zero inflated negative binomial model that examined the likelihood of walking at any intersection in Seattle, and a negative binomial model to examine the frequency of walking at intersections that included at least 10 walking bouts. Explanatory variables included geospatial locations, micro-environmental factors, and macro-environmental factors. This study provides a framework quantifying pedestrian exposure that can be used by other transportation municipalities to capture pedestrian exposure.
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