Library
home (Home) TU Delft Repository login Login

Analysis of Injury Severity of Drivers Involved Different Types of Two-Vehicle Crashes Using Random-Parameters Logit Models with Heterogeneity in Means and Variances

Journal Article (2023)
Author(s)

Qiang Wu (Nantong University)

Dongdong Song (Beijing Jiaotong University)

Chenzhu Wang (Southeast University)

Fei Chen (Southeast University)

Jianchuan Cheng (Southeast University)

Said M. Easa (Toronto Metropolitan University)

Yitao Yang (Transport and Planning)

Wenchen Yang (Broadvision Engineering Consultants Co., Ltd., Yunnan Key Laboratory of Digital Communications)

Transport and Planning
DOI related publication
https://doi.org/10.1155/2023/3399631
More Info
expand_more
Publication Year
2023
Language
English
Transport and Planning
Volume number
2023
Article number
3399631
Downloads counter
350
Collections
Institutional Repository
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This study proposes random-parameters multinomial logit models, with heterogeneity in means and variances, to explore the differences in the factors influencing injury severities of drivers involved in different types of two-vehicle crashes. The models are verified using crash data from the United Kingdom (UK) over three years (2016–2018). Three types of crashes are separately identified (car-car, car-truck, and truck-truck crashes). In this study, a wide variety of potential variables, including the driver, vehicle, road, and environmental characteristics, are considered, with two possible injury-severity outcomes: severe and slight injury. The results show that unobserved heterogeneity existed for young drivers in both car-car and truck-truck crash models and the 30 mph speed limit in the three separate models. Remarkably variations are observed in crashes involving different types of vehicles. The driver’s age and gender, speeding, sideswipes, presence of junctions, weekdays, unlit, and weather conditions significantly impact driver-injury severities in various types of vehicle crashes. These findings are expected to help policymakers seek to improve highway safety and implement proper safety countermeasures.