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A multinomial logit model of pedestrian-vehicle crash severity

journal contribution
posted on 2024-11-01, 22:25 authored by Richard TayRichard Tay, Jasmine Choi, Lina Kattan, Amjad Khan
This article estimated a multinomial logit model to identify the factors determining the severity of pedestrian-vehicle crashes in South Korea. Our results showed that relative to minor crashes, fatal and serious crashes were associated with collisions involving heavy vehicles; drivers who were drunk, male or under the age of 65; pedestrians who were over the age of 65 or female; and pedestrians who were hit in the middle of the road, on high speed roads, in inclement weather conditions, at night, on road links, in tunnels, on bridges, or on wider roads.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1080/15568318.2010.497547
  2. 2.
    ISSN - Is published in 15568318

Journal

International Journal of Sustainable Transportation

Volume

5

Issue

4

Start page

233

End page

249

Total pages

17

Publisher

Taylor & Francis

Place published

United Kingdom

Language

English

Copyright

© Taylor & Francis Group, LLC

Former Identifier

2006054605

Esploro creation date

2020-06-22

Fedora creation date

2015-08-12

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