The influence of built environment on distracted driving related crashes in Ohio

Zhenhua Chen and Youngbin Lym

Transport Policy, 2021, vol. 101, issue C, 34-45

Abstract: This study evaluates the influences of built environment on frequency and severity of vehicle crashes through a comparative analysis framework between crashes involved in distracted driving (DD) and non-distracted driving (Non-DD). Using a comprehensive dataset with 1.4 million vehicle crash records in Ohio for the period 2013–2017 as an example, the relationship between built environment and the frequency as well as severity of vehicle crashes caused by DD and Non-DDwas examined using negative binomial and generalized ordered logit regression methods. Our study reveals that the frequency of DD crashes tends to be much higher than that of Non-DD crashes in urbanized road environment. Conversely, other road features, such as a median and a shoulder with an asphalt pavement are found to have relatively substantial and negative associations with the frequency of DD related crashes. Furthermore, the outcomes of severity analysis confirm that DD related crashes tend to be more severe than Non-DD related crashes in certain built environment such as work zones or interstate highways. Meanwhile, the existence of a roundabout was found to have mixed effects in affecting crash severities. Our findings suggest that distraction affected crashes contain unique features as compared to Non-DD counterparts. These evidences provide important implications for transportation planners and decision-makers to improve roadway safety.

Keywords: Distracted driving; Crash frequency and severity; Built environment in Ohio; Negative binomial model; Generalized ordered logit model (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.tranpol.2020.11.011

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