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Differences in Factors Affecting Various Crash Types with High Numbers of Fatalities and Injuries in China

OBJECTIVES: Road traffic crashes that involve very high numbers of fatalities and injuries arouse public concern wherever they occur. In China, there are two categories of such crashes: a crash that results in 10–30 fatalities, 50–100 serious injuries or a total cost of 50–100 million RMB ($US8-16m)...

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Autores principales: Chen, Yikai, Wang, Kai, King, Mark, He, Jie, Ding, Jianxun, Shi, Qin, Wang, Changjun, Li, Pingfan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4954655/
https://www.ncbi.nlm.nih.gov/pubmed/27439113
http://dx.doi.org/10.1371/journal.pone.0158559
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author Chen, Yikai
Wang, Kai
King, Mark
He, Jie
Ding, Jianxun
Shi, Qin
Wang, Changjun
Li, Pingfan
author_facet Chen, Yikai
Wang, Kai
King, Mark
He, Jie
Ding, Jianxun
Shi, Qin
Wang, Changjun
Li, Pingfan
author_sort Chen, Yikai
collection PubMed
description OBJECTIVES: Road traffic crashes that involve very high numbers of fatalities and injuries arouse public concern wherever they occur. In China, there are two categories of such crashes: a crash that results in 10–30 fatalities, 50–100 serious injuries or a total cost of 50–100 million RMB ($US8-16m) is a “serious road traffic crash” (SRTC), while a crash that is even more severe or costly is a “particularly serious road traffic crash” (PSRTC). The aim of this study is to identify the main factors affecting different types of these crashes (single-vehicle, head-on, rear-end and side impact) with the ultimate goal of informing prevention activities and policies. METHODS: Detailed descriptions of the SRTCs and PSRTCs that occurred from 2007 to 2014 were collected from the database “In-depth Investigation and Analysis System for Major Road Traffic Crashes” (IIASMRTC), which is maintained by the Traffic Management Research Institute of the Ministry of Public Security of China (TMRI). 18 main risk factors, which were categorized into four areas (participant, vehicle, road and environment-related) were chosen as potential independent variables for the multinomial logistic regression analysis. Comparisons were made among the single-vehicle, head-on, rear-end and side impact crashes in terms of factors affecting crash occurrence. FINDINGS: Five risk factors were significant for the six multinomial logistic regression models, which were location, vertical alignment, roadside safety rating, driver distraction and overloading of cargo. It was indicated that intersections were more likely to have side impact SRTCs and PSRTCs, especially with poor visibility at night. Overloaded freight vehicles were more likely to be involved in a rear-end crash than other freight vehicles. Driver distraction is an important risk factor for head-on crashes, while vertical alignment and roadside safety rating are positively associated with single-vehicle crashes. CONCLUSION: Based on the findings, promising measures were proposed to prevent each type of SRTC and PSRTC, which governmental or regulatory agencies could employ to plan strategies to reduce SRTCs and PSRTCs and support lifesaving policies.
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spelling pubmed-49546552016-08-08 Differences in Factors Affecting Various Crash Types with High Numbers of Fatalities and Injuries in China Chen, Yikai Wang, Kai King, Mark He, Jie Ding, Jianxun Shi, Qin Wang, Changjun Li, Pingfan PLoS One Research Article OBJECTIVES: Road traffic crashes that involve very high numbers of fatalities and injuries arouse public concern wherever they occur. In China, there are two categories of such crashes: a crash that results in 10–30 fatalities, 50–100 serious injuries or a total cost of 50–100 million RMB ($US8-16m) is a “serious road traffic crash” (SRTC), while a crash that is even more severe or costly is a “particularly serious road traffic crash” (PSRTC). The aim of this study is to identify the main factors affecting different types of these crashes (single-vehicle, head-on, rear-end and side impact) with the ultimate goal of informing prevention activities and policies. METHODS: Detailed descriptions of the SRTCs and PSRTCs that occurred from 2007 to 2014 were collected from the database “In-depth Investigation and Analysis System for Major Road Traffic Crashes” (IIASMRTC), which is maintained by the Traffic Management Research Institute of the Ministry of Public Security of China (TMRI). 18 main risk factors, which were categorized into four areas (participant, vehicle, road and environment-related) were chosen as potential independent variables for the multinomial logistic regression analysis. Comparisons were made among the single-vehicle, head-on, rear-end and side impact crashes in terms of factors affecting crash occurrence. FINDINGS: Five risk factors were significant for the six multinomial logistic regression models, which were location, vertical alignment, roadside safety rating, driver distraction and overloading of cargo. It was indicated that intersections were more likely to have side impact SRTCs and PSRTCs, especially with poor visibility at night. Overloaded freight vehicles were more likely to be involved in a rear-end crash than other freight vehicles. Driver distraction is an important risk factor for head-on crashes, while vertical alignment and roadside safety rating are positively associated with single-vehicle crashes. CONCLUSION: Based on the findings, promising measures were proposed to prevent each type of SRTC and PSRTC, which governmental or regulatory agencies could employ to plan strategies to reduce SRTCs and PSRTCs and support lifesaving policies. Public Library of Science 2016-07-20 /pmc/articles/PMC4954655/ /pubmed/27439113 http://dx.doi.org/10.1371/journal.pone.0158559 Text en © 2016 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Chen, Yikai
Wang, Kai
King, Mark
He, Jie
Ding, Jianxun
Shi, Qin
Wang, Changjun
Li, Pingfan
Differences in Factors Affecting Various Crash Types with High Numbers of Fatalities and Injuries in China
title Differences in Factors Affecting Various Crash Types with High Numbers of Fatalities and Injuries in China
title_full Differences in Factors Affecting Various Crash Types with High Numbers of Fatalities and Injuries in China
title_fullStr Differences in Factors Affecting Various Crash Types with High Numbers of Fatalities and Injuries in China
title_full_unstemmed Differences in Factors Affecting Various Crash Types with High Numbers of Fatalities and Injuries in China
title_short Differences in Factors Affecting Various Crash Types with High Numbers of Fatalities and Injuries in China
title_sort differences in factors affecting various crash types with high numbers of fatalities and injuries in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4954655/
https://www.ncbi.nlm.nih.gov/pubmed/27439113
http://dx.doi.org/10.1371/journal.pone.0158559
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