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Safety 2018, 4(2), 20;

Pedestrian Injury Severity Analysis in Motor Vehicle Crashes in Ohio

Department of Civil and Environmental Engineering, University of South Carolina, Columbia, SC 29208, USA
Author to whom correspondence should be addressed.
Received: 3 April 2018 / Revised: 26 April 2018 / Accepted: 28 April 2018 / Published: 7 May 2018
PDF [237 KB, uploaded 7 May 2018]


According to the National Highway Traffic Safety Administration, 116 pedestrians were killed in motor vehicle crashes in Ohio in 2015. However, no study to date has analyzed crashes in Ohio in order to explore the factors contributing to the pedestrian injury severity resulting from motor vehicle crashes. This study fills this gap by investigating the crashes involving pedestrians exclusively in Ohio. This study uses the crash data from the Highway Safety Information System, from 2009 to 2013. The explanatory factors include the pedestrian, driver, vehicle, crash, and roadway characteristics. Both fixed- and random-parameters ordered probit models of injury severity (where possible outcomes are major, minor, and possible/no injury) were estimated. The model results indicate that older pedestrian (65 and over), younger driver (less than 24), driving under influence (DUI), struck by truck, dark-unlighted roadways, six-lane roadways, and speed limits of 40 mph and 50 mph were all factors associated with more severe injuries to the pedestrians. Conversely, older driver (65 and over), passenger car, crash occurring in urban locations, daytime traffic off-peak (10 a.m. to 3:59 p.m.), weekdays, and daylight condition were all factors associated with less severe injuries. This study provides specific safety recommendations so that effective countermeasures can be developed and implemented by policy makers, which in turn will improve overall highway safety. View Full-Text
Keywords: pedestrian safety; crash severity; crash factors; ordered probit model; random parameter model pedestrian safety; crash severity; crash factors; ordered probit model; random parameter model
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Uddin, M.; Ahmed, F. Pedestrian Injury Severity Analysis in Motor Vehicle Crashes in Ohio. Safety 2018, 4, 20.

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