Literature DB >> 14733994

Analysis of driver injury severity levels at multiple locations using ordered probit models.

Mohamed Abdel-Aty1.   

Abstract

PROBLEM: The occurrence and outcome of traffic crashes have long been recognized as complex events involving interactions between many factors, including the roadway, driver, traffic characteristics, and the environment. This study is concerned with the outcome of the crash.
METHOD: Driver injury severity levels are analyzed using the ordered probit modeling methodology. Models were developed for roadway sections, signalized intersections, and toll plazas in Central Florida. All models showed the significance of driver's age, gender, seat belt use, point of impact, speed, and vehicle type on the injury severity level. Other variables were found significant only in specific cases.
RESULTS: A driver's violation was significant in the case of signalized intersections. Alcohol, lighting conditions, and the existence of a horizontal curve affected the likelihood of injuries in the roadway sections' model. A variable specific to toll plazas, vehicles equipped with Electronic Toll Collection (ETC), had a positive effect on the probability of higher injury severity at toll plazas. Other variables that entered into some of the models were weather condition, area type, and some interaction factors. This study illustrates the similarities and the differences in the factors that affect injury severity between different locations.

Entities:  

Mesh:

Year:  2003        PMID: 14733994     DOI: 10.1016/j.jsr.2003.05.009

Source DB:  PubMed          Journal:  J Safety Res        ISSN: 0022-4375


  20 in total

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Authors:  Amy Li; Sijun Shen; Ann Nwosu; Kendra L Ratnapradipa; Jennifer Cooper; Motao Zhu
Journal:  J Safety Res       Date:  2020-02-28

2.  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

3.  Relationship between Vehicle Safety Ratings and Drivers' Injury Severity in the Context of Gender Disparity.

Authors:  Wen Fu; Jaeyoung Lee
Journal:  Int J Environ Res Public Health       Date:  2022-05-12       Impact factor: 4.614

4.  Elderly road collision injury outcomes associated with seat positions and seatbelt use in a rapidly aging society-A case study in South Korea.

Authors:  Yuna Noh; Yoonjin Yoon
Journal:  PLoS One       Date:  2017-08-11       Impact factor: 3.240

5.  Investigation on occupant injury severity in rear-end crashes involving trucks as the front vehicle in Beijing area, China.

Authors:  Quan Yuan; Meng Lu; Athanasios Theofilatos; Yi-Bing Li
Journal:  Chin J Traumatol       Date:  2016-11-09

6.  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

7.  Analyzing Factors Associated with Fatal Road Crashes: A Machine Learning Approach.

Authors:  Ali J Ghandour; Huda Hammoud; Samar Al-Hajj
Journal:  Int J Environ Res Public Health       Date:  2020-06-09       Impact factor: 3.390

8.  Environmental and familial factors in drug use among commercial drivers in suburban public transport.

Authors:  Elaheh Ainy; Hamid Soori
Journal:  Int J Crit Illn Inj Sci       Date:  2019 Jan-Mar

9.  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

10.  Investigation on the Injury Severity of Drivers in Rear-End Collisions Between Cars Using a Random Parameters Bivariate Ordered Probit Model.

Authors:  Feng Chen; Mingtao Song; Xiaoxiang Ma
Journal:  Int J Environ Res Public Health       Date:  2019-07-23       Impact factor: 3.390

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