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Macroscopic modeling of pedestrian and bicycle crashes: A cross-comparison of estimation methods

Richard Amoh-Gyimah - No affiliation found

2016/08/01 Full-length article DOI: 10.1016/j.aap.2016.05.001 Journal: Accident Analysis & Prevention

Abstract:

Highlights•Cross-comparison of estimation methods: non-spatial negative binomial, random parameter negative binomial, and Poisson-Gamma-CAR.•Inclusion of a comprehensive set of exposure and risk proxies for pedestrians and bicycles.•The random parameter negative binomial model performed better than other selected methods.•Percentage of commuters cycling or walking to work, percentage of households without motor vehicles, and mixed land use have a significant and positive correlation with the number of crashes.