Literature DB >> 24134451

Identifying the factors contributing to the severity of truck-involved crashes.

Chunjiao Dong1, Stephen H Richards, Baoshan Huang, Ximiao Jiang.   

Abstract

To address the dilemma between the need for truck transportation and the costs related to truck-involved crashes, the key is to identify the risk factors that significantly affect truck-involved crashes. The objective of this research is to estimate the effects of the characteristics of traffic, driver, geometry, and environment on severity of truck-involved crashes. Based on four crash severity categories (fatal/incapacitating, non-incapacitating, possible injury, and no injury/property damage only), a multinomial logit model is conducted to identify the risk factors. The investigation of risk ratios indicates that lower traffic volume with higher truck percentage is associated with more serious traffic crash with fatal/incapacitating injury while a non-standard geometric design is the main cause of non-incapacitating crashes. The influences of weather are significant for the possible-injury crashes while driver condition is the principal cause of no-injury/property-damage-only crashes. In addition, the statistical results demonstrate that the influence of the truck percentage is significant. One-unit change in the truck percentage will cause more than one times probability of being in an injury.

Entities:  

Keywords:  MNL model; crash severity; traffic safety; trucks

Mesh:

Year:  2013        PMID: 24134451     DOI: 10.1080/17457300.2013.844713

Source DB:  PubMed          Journal:  Int J Inj Contr Saf Promot        ISSN: 1745-7300


  5 in total

1.  Analysis of Factors Contributing to the Injury Severity of Overloaded-Truck-Related Crashes on Mountainous Highways in China.

Authors:  Huiying Wen; Yingxin Du; Zheng Chen; Sheng Zhao
Journal:  Int J Environ Res Public Health       Date:  2022-04-02       Impact factor: 3.390

2.  Identifying the Factors Contributing to the Severity of Truck-Involved Crashes in Shanghai River-Crossing Tunnel.

Authors:  Shengdi Chen; Shiwen Zhang; Yingying Xing; Jian Lu
Journal:  Int J Environ Res Public Health       Date:  2020-05-01       Impact factor: 3.390

3.  Crash severity analysis of nighttime and daytime highway work zone crashes.

Authors:  Kairan Zhang; Mohamed Hassan
Journal:  PLoS One       Date:  2019-08-13       Impact factor: 3.240

4.  Characteristics and Causes of Particularly Major Road Traffic Accidents Involving Commercial Vehicles in China.

Authors:  Mingwei Yan; Wentao Chen; Jianhao Wang; Mengmeng Zhang; Liang Zhao
Journal:  Int J Environ Res Public Health       Date:  2021-04-07       Impact factor: 3.390

5.  How did COVID-19 impact driving behaviors and crash Severity? A multigroup structural equation modeling.

Authors:  Xiaomeng Dong; Kun Xie; Hong Yang
Journal:  Accid Anal Prev       Date:  2022-04-27
  5 in total

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