Exploring Risk Factors with Crash Severity on China Two-Lane Rural Roads Using a Random-Parameter Ordered Probit Model

Joint Authors

Xie, Shikun
Ji, Xiaofeng
Yang, Wenchen
Fang, Rui
Hao, Jingjing

Source

Journal of Advanced Transportation

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-17

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Civil Engineering

Abstract EN

Understanding the factors that contribute to traffic crashes can help provide a fundamental basis to plan and develop appropriate countermeasures for road safety issues emerging in particular on two-lane rural roads.

However, most of the studies have focused on urban roadways and freeway systems, and few studies have investigated the issue of heterogeneity on two-lane rural roads.

The purpose of this study is to uncover the risk factors influencing crash severity on two-lane rural roads in China.

A sample of 1490 traffic crashes occurring on two-lane rural roads between 2012 and 2017 was collected from the Mouding County Highway Bureau in Yunnan, China.

A random-parameter ordered probit model was estimated using these data to capture underlying unobserved characteristics in personal traits, vehicle attributes, roadway conditions, environmental factors, and crash attribute.

To better understand the effect of critical factors on crash severity outcome probability, an elasticity analysis was then introduced.

The results show that six factors such as driver’s attribution, illegal driving behaviour, access segment, day of week, vehicle type, and crash form have a significant impact on the injury severity, and the impacts of driving behaviours, access segment, and vehicle-fixed object crashes had significant variation across observations.

Besides, the correlations between critical factors and the probability of serious injury sustained in traffic crashes are identified and discussed.

The local driver indicator has more positive impact on the crash severity than nonlocal driver, and nonaccess segment appears a higher probability of serious or vicious collisions.

It is worth mentioning that motorcycle-involved crashes do show an obvious correlation with crash injury severity.

As for crash forms, vehicle-vehicle crashes are more likely to lead to severe crash injury.

Besides, high-risk driving behaviour (e.g., fatigue driving, speeding, and converse driving), weekends, and holidays are found to have significant contribution to increasing the probability of traffic crash injuries and fatalities on two-lane rural roads.

American Psychological Association (APA)

Xie, Shikun& Ji, Xiaofeng& Yang, Wenchen& Fang, Rui& Hao, Jingjing. 2020. Exploring Risk Factors with Crash Severity on China Two-Lane Rural Roads Using a Random-Parameter Ordered Probit Model. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1180834

Modern Language Association (MLA)

Xie, Shikun…[et al.]. Exploring Risk Factors with Crash Severity on China Two-Lane Rural Roads Using a Random-Parameter Ordered Probit Model. Journal of Advanced Transportation No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1180834

American Medical Association (AMA)

Xie, Shikun& Ji, Xiaofeng& Yang, Wenchen& Fang, Rui& Hao, Jingjing. Exploring Risk Factors with Crash Severity on China Two-Lane Rural Roads Using a Random-Parameter Ordered Probit Model. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1180834

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1180834