Exploring motorcyclist injury severity resulting from various crash configurations at T-junctions in the United Kingdom - An application of the ordered probit models

Chih Wei Pai, Wafaa Saleh

研究成果: 雜誌貢獻文章同行評審

37 引文 斯高帕斯(Scopus)

摘要

Objectives. The fact that motorcycle users tend to be more vulnerable to injuries than those using other motorized vehicles may act synergistically with the complexity of conflicting movements between vehicles and motorcycles to increase injury severity in a junction-type accident. A junction-type collision tends to be more severe than a non-junction case due to the fact that some of the injurious crashes such as angle-collision commonly occur. Existing studies have applied several statistical modeling techniques to examine influential factors on the occurrences of different crashes among motorized vehicles but surprisingly very little has empirically explored whether a particular crash type, resulting from a junction-type accident, is more injurious to motorcyclists. This article attempts to investigate whether a particular collision is more deadly to motorcyclists conditioned on crash occurrence at T-junctions in the U.K., while controlling for environment, vehicle, and demographic factors. Methods. The statistical modeling technique employed is the ordered probit models using the data extracted from the STATS19 accident injury database (1999-2004). Results. The modeling found determinants of injury severity among motorcyclists at T-junctions in the U.K. For example, an approach-turn/head-on collision is much more injurious to motorcyclists; and, those riding in early morning (i.e., 0000-0659) are more likely to be severely injured. Conclusions. This study offers a guideline for future research, as well as insight into potential prevention strategies that might help moderate motorcyclist injuries.
原文英語
頁(從 - 到)62-68
頁數7
期刊Traffic Injury Prevention
8
發行號1
DOIs
出版狀態已發佈 - 3月 2007
對外發佈

ASJC Scopus subject areas

  • 公共衛生、環境和職業健康
  • 安全研究

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