Literature DB >> 19068300

Analysis of traffic accident size for Korean highway using structural equation models.

Ju-Yeon Lee1, Jin-Hyuk Chung, Bongsoo Son.   

Abstract

Accident size can be expressed as the number of involved vehicles, the number of damaged vehicles, the number of deaths and/or the number of injured. Accident size is the one of the important indices to measure the level of safety of transportation facilities. Factors such as road geometric condition, driver characteristic and vehicle type may be related to traffic accident size. However, all these factors interact in complicate ways so that the interrelationships among the variables are not easily identified. A structural equation model is adopted to capture the complex relationships among variables because the model can handle complex relationships among endogenous and exogenous variables simultaneously and furthermore it can include latent variables in the model. In this study, we use 2649 accident data occurred on highways in Korea and estimate relationship among exogenous factors and traffic accident size. The model suggests that road factors, driver factors and environment factors are strongly related to the accident size.

Mesh:

Year:  2008        PMID: 19068300     DOI: 10.1016/j.aap.2008.08.006

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


  5 in total

1.  Characteristics of Occupational Injuries in a Pharmaceutical Company in Iran.

Authors:  Abbas Rasouli; Seyed Mojtaba Hosseini; Mohammadkarim Bahadori; Ramin Ravangard
Journal:  Bull Emerg Trauma       Date:  2018-04

2.  Driving-simulator-based test on the effectiveness of auditory red-light running vehicle warning system based on time-to-collision sensor.

Authors:  Xuedong Yan; Qingwan Xue; Lu Ma; Yongcun Xu
Journal:  Sensors (Basel)       Date:  2014-02-21       Impact factor: 3.576

3.  Modeling of Individual and Organizational Factors Affecting Traumatic Occupational Injuries Based on the Structural Equation Modeling: A Case Study in Large Construction Industries.

Authors:  Iraj Mohammadfam; Ahmad Soltanzadeh; Abbas Moghimbeigi; Mehdi Akbarzadeh
Journal:  Arch Trauma Res       Date:  2016-06-14

4.  Influence Factors on Injury Severity of Traffic Accidents and Differences in Urban Functional Zones: The Empirical Analysis of Beijing.

Authors:  Zhiyuan Sun; Jianyu Wang; Yanyan Chen; Huapu Lu
Journal:  Int J Environ Res Public Health       Date:  2018-12-03       Impact factor: 3.390

5.  A Hybrid of Structural Equation Modeling and Artificial Neural Networks to Predict Motorcyclists' Injuries: A Conceptual Model in a Case-Control Study.

Authors:  Shila Hasanzadeh; Mohammad Asgharijafarabadi; Homayoun Sadeghi-Bazargani
Journal:  Iran J Public Health       Date:  2020-11       Impact factor: 1.429

  5 in total

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