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Factors affecting bus accident severity in Thailand: A multinomial logit model

Bus accidents are a serious issue, with high rates of injury and fatality in Thailand. However, no studies have been conducted on the factors affecting bus accident severity in Thailand. A cross-sectional study was conducted by the Department of Highways, Thailand over the 2010–2019 period. A multin...

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Autores principales: Mahikul, Wiriya, Aiyasuwan, Ongvisit, Thanartthanaboon, Pashanun, Chancharoen, Wares, Achararit, Paniti, Sirisombat, Thakdanai, Singkham, Phathai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9645622/
https://www.ncbi.nlm.nih.gov/pubmed/36350836
http://dx.doi.org/10.1371/journal.pone.0277318
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author Mahikul, Wiriya
Aiyasuwan, Ongvisit
Thanartthanaboon, Pashanun
Chancharoen, Wares
Achararit, Paniti
Sirisombat, Thakdanai
Singkham, Phathai
author_facet Mahikul, Wiriya
Aiyasuwan, Ongvisit
Thanartthanaboon, Pashanun
Chancharoen, Wares
Achararit, Paniti
Sirisombat, Thakdanai
Singkham, Phathai
author_sort Mahikul, Wiriya
collection PubMed
description Bus accidents are a serious issue, with high rates of injury and fatality in Thailand. However, no studies have been conducted on the factors affecting bus accident severity in Thailand. A cross-sectional study was conducted by the Department of Highways, Thailand over the 2010–2019 period. A multinomial logit model was used to evaluate the factors associated with bus accident severity. This model divided accidents into three categories: non-injury, injury, and fatality. The risk factors consisted of three major categories: the bus driver, characteristics of the crash, and environmental characteristics. The results showed that characteristics of the bus driver, the crash, and the environment where the crash occurred all increased the probability of bus accidents causing injury. These three main factors included driving on sloped roads (relative risk ratio [RRR] 3.03, 95% confidence level [CI] 1.73 to 5.30), drowsy driving (RRR 2.60, 95% CI 1.71 to 3.96), and driving in the wrong direction (RRR 2.37, 95% CI 1.77 to 3.19). Moreover, the factors that increased the probability of the accidents causing fatality were drowsy driving (RRR 3.40, 95% CI 2.07 to 5.57) and drivers not obeying or following traffic rules (RRR 3.02, 95% CI 1.95 to 4.67), especially in the northern part of Thailand (RRR 3.01, 95% CI 1.98 to 4.62). The results can provide a valuable resource to help road authorities in development targeting road safety programs at sloped roads in the northern part of Thailand. Stakeholders should increase road safety efforts and implement campaigns, such as raising public awareness of the risks of not obeying or following traffic rules and drowsy driving which could possibly reduce the risk of both injury and fatality.
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spelling pubmed-96456222022-11-15 Factors affecting bus accident severity in Thailand: A multinomial logit model Mahikul, Wiriya Aiyasuwan, Ongvisit Thanartthanaboon, Pashanun Chancharoen, Wares Achararit, Paniti Sirisombat, Thakdanai Singkham, Phathai PLoS One Research Article Bus accidents are a serious issue, with high rates of injury and fatality in Thailand. However, no studies have been conducted on the factors affecting bus accident severity in Thailand. A cross-sectional study was conducted by the Department of Highways, Thailand over the 2010–2019 period. A multinomial logit model was used to evaluate the factors associated with bus accident severity. This model divided accidents into three categories: non-injury, injury, and fatality. The risk factors consisted of three major categories: the bus driver, characteristics of the crash, and environmental characteristics. The results showed that characteristics of the bus driver, the crash, and the environment where the crash occurred all increased the probability of bus accidents causing injury. These three main factors included driving on sloped roads (relative risk ratio [RRR] 3.03, 95% confidence level [CI] 1.73 to 5.30), drowsy driving (RRR 2.60, 95% CI 1.71 to 3.96), and driving in the wrong direction (RRR 2.37, 95% CI 1.77 to 3.19). Moreover, the factors that increased the probability of the accidents causing fatality were drowsy driving (RRR 3.40, 95% CI 2.07 to 5.57) and drivers not obeying or following traffic rules (RRR 3.02, 95% CI 1.95 to 4.67), especially in the northern part of Thailand (RRR 3.01, 95% CI 1.98 to 4.62). The results can provide a valuable resource to help road authorities in development targeting road safety programs at sloped roads in the northern part of Thailand. Stakeholders should increase road safety efforts and implement campaigns, such as raising public awareness of the risks of not obeying or following traffic rules and drowsy driving which could possibly reduce the risk of both injury and fatality. Public Library of Science 2022-11-09 /pmc/articles/PMC9645622/ /pubmed/36350836 http://dx.doi.org/10.1371/journal.pone.0277318 Text en © 2022 Mahikul et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Mahikul, Wiriya
Aiyasuwan, Ongvisit
Thanartthanaboon, Pashanun
Chancharoen, Wares
Achararit, Paniti
Sirisombat, Thakdanai
Singkham, Phathai
Factors affecting bus accident severity in Thailand: A multinomial logit model
title Factors affecting bus accident severity in Thailand: A multinomial logit model
title_full Factors affecting bus accident severity in Thailand: A multinomial logit model
title_fullStr Factors affecting bus accident severity in Thailand: A multinomial logit model
title_full_unstemmed Factors affecting bus accident severity in Thailand: A multinomial logit model
title_short Factors affecting bus accident severity in Thailand: A multinomial logit model
title_sort factors affecting bus accident severity in thailand: a multinomial logit model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9645622/
https://www.ncbi.nlm.nih.gov/pubmed/36350836
http://dx.doi.org/10.1371/journal.pone.0277318
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