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Technical gazette, Vol. 29 No. 2, 2022.

Review article

https://doi.org/10.17559/TV-20201109141820

Assessing the Risk of University-Student Driving to enhance Safe and Sustainable Traffic Management: A Logistic Regression and Analytic Hierarchy Approach

Shaik Dawood Abdul Khadar* orcid id orcid.org/0000-0001-8902-2756 ; Industrial Engineering Department, College of Engineering, King Khalid University Abha, Saudi Arabia
Mohamed Mansour orcid id orcid.org/0000-0002-4794-1399 ; Industrial Engineering Department, College of Engineering, King Khalid University Abha, Saudi Arabia; Industrial Engineering Department, College of Engineering, Zagazig University, Zagazig, Egypt
Saleh Alsulamy ; Architecture and Planning Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia
Saleh Alghamdi ; Industrial Engineering Department, College of Engineering, King Khalid University Abha, Saudi Arabia
Mohamed Rafik Qureshi ; Industrial Engineering Department, College of Engineering, King Khalid University Abha, Saudi Arabia

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Abstract

Road accidents have become more common these days and it is pathetic when the accidents happen due to ignorance. The research objective is focused on university students, creating awareness about road safety and improving a sustainable traffic management scenario in the Kingdom of Saudi Arabia. An analytical hierarchy process and a logistic regression model were used to determine the risk priorities ranking of severity factors based on the comparisons of different driver behaviour factors. A cross-sectional survey was conducted among 3200 university students in Saudi Arabia to evaluate the risk associated with accident factors. The main factors taken for risk analysis were Stability during driving, not adhering to rules, committing human errors, Insufficient Visibility, Facing Vehicles Issues. The model estimation analysis revealed the severity, which was based on the student's behavioural factors as a driver which contributed to the high fatality. It is further proposed to teach an interdisciplinary course on Traffic Management to various university students. The awareness towards traffic sense and safety rules would bring down the accidents rates and help the government to maintain smooth traffic density.

Keywords

accidents; analytic hierarchy process; driving behaviour; logistics regression; risk assessment; traffic sustainability

Hrčak ID:

272624

URI

https://hrcak.srce.hr/272624

Publication date:

15.4.2022.

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