Civil and Project journal

Development of Latent Class Model to Analyze the Severity of Road Accidents in Iran

https://doi.org/10.22034/cpj.2023.394492.1192
Volume 4, Issue 12 - Serial Number 46
March 2023
Pages 36-48
Civil and Project journal

Document Type : Research Article

Authors

seyed reza shafaii amlashi 1
Reza Amin 2
Ali Khodaii 3

1 civil and environmental engineering amirkabir university of technology

2 Department of Civil and Environment, AmirKabir University of Technology, Tehran, Iran

3 , Department of Civil and Environment, AmirKabir University of Technology, Tehran

Abstract
Accidents in Iran pose a significant public health burden, requiring effective prevention and management strategies. Latent variable modelling provides a promising approach to understanding the complex factors that contribute to accidents in Iran. This paper reviews the current state of knowledge of latent variable modelling in Iran's accidents. The paper provides a synthesis of the literature on the measurement and modelling of latent variables in accidents, including human factors, environmental factors, and organizational factors, and also reviews the common statistical techniques used in the analysis of latent variables, such as structural equation modelling, latent class analysis, and factor analysis. The strengths and limitations of these approaches are discussed. The review shows that although some studies have applied latent variable modelling to accidents in Iran, the use of these techniques is still relatively limited in comparison to other countries. Overall, It has been argued that latent variable modelling can offer valuable insights into the underlying mechanisms of accidents in Iran and guide more effective strategies for prevention and management. This study used data from accidents resulting in the death or injury of passengers gathered on Iranian roadways in 2015, and the latent class model was fitted to this data using the NLOGIT6 software. And the findings have been reported in this article. The findings suggest that elements such as the season and day of the accident, as well as weather conditions, have an impact on the severity of accidents.

Keywords

Road accident
Accident severity
Latent model class
Road safety
Regression
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  • Receive Date 25 January 2023
  • Revise Date 11 April 2023
  • Accept Date 12 May 2023
  • First Publish Date 12 May 2023
  • Publish Date 20 February 2023

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