Literature DB >> 23892046

Impact of pavement conditions on crash severity.

Yingfeng Li1, Chunxiao Liu, Liang Ding.   

Abstract

Pavement condition has been known as a key factor related to ride quality, but it is less clear how exactly pavement conditions are related to traffic crashes. The researchers used Geographic Information System (GIS) to link Texas Department of Transportation (TxDOT) Crash Record Information System (CRIS) data and Pavement Management Information System (PMIS) data, which provided an opportunity to examine the impact of pavement conditions on traffic crashes in depth. The study analyzed the correlation between several key pavement condition ratings or scores and crash severity based on a large number of crashes in Texas between 2008 and 2009. The results in general suggested that poor pavement condition scores and ratings were associated with proportionally more severe crashes, but very poor pavement conditions were actually associated with less severe crashes. Very good pavement conditions might induce speeding behaviors and therefore could have caused more severe crashes, especially on non-freeway arterials and during favorable driving conditions. In addition, the results showed that the effects of pavement conditions on crash severity were more evident for passenger vehicles than for commercial vehicles. These results provide insights on how pavement conditions may have contributed to crashes, which may be valuable for safety improvement during pavement design and maintenance. Readers should notice that, although the study found statistically significant effects of pavement variables on crash severity, the effects were rather minor in reality as suggested by frequency analyses.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Condition score; Crash severity; Distress score; International roughness index; Multiple comparison procedures; Pavement condition; Pavement type

Mesh:

Year:  2013        PMID: 23892046     DOI: 10.1016/j.aap.2013.06.028

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  4 in total

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Authors:  Peter M Mphekgwana
Journal:  J Environ Public Health       Date:  2022-02-21

3.  Comparative Analysis of Influencing Factors on Crash Severity between Super Multi-Lane and Traditional Multi-Lane Freeways Considering Spatial Heterogeneity.

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4.  Divergent Effects of Factors on Crash Severity under Autonomous and Conventional Driving Modes Using a Hierarchical Bayesian Approach.

Authors:  Weixi Ren; Bo Yu; Yuren Chen; Kun Gao
Journal:  Int J Environ Res Public Health       Date:  2022-09-09       Impact factor: 4.614

  4 in total

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