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Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016
Road traffic crashes cause fatalities and injuries of both drivers/passengers in vehicles and pedestrians outside, thus challenge public health especially in big cities in developing countries like China. Previous efforts mainly focus on a specific crash type or causation to examine the crash charac...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908188/ https://www.ncbi.nlm.nih.gov/pubmed/33525743 http://dx.doi.org/10.3390/ijerph18031176 |
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author | Li, Guofa Liao, Yuan Guo, Qiangqiang Shen, Caixiong Lai, Weijian |
author_facet | Li, Guofa Liao, Yuan Guo, Qiangqiang Shen, Caixiong Lai, Weijian |
author_sort | Li, Guofa |
collection | PubMed |
description | Road traffic crashes cause fatalities and injuries of both drivers/passengers in vehicles and pedestrians outside, thus challenge public health especially in big cities in developing countries like China. Previous efforts mainly focus on a specific crash type or causation to examine the crash characteristics in China while lacking the characteristics of various crash types, factors, and the interplay between them. This study investigated the crash characteristics in Shenzhen, one of the biggest four cities in China, based on the police-reported crashes from 2014 to 2016. The descriptive characteristics were reported in detail with respect to each of the crash attributes. Based on the recorded crash locations, the land-use pattern was obtained as one of the attributes for each crash. Then, the relationship between the attributes in motor-vehicle-involved crashes was examined using the Bayesian network analysis. We revealed the distinct crash characteristics observed between the examined levels of each attribute, as well the interplay between the attributes. This study provides an insight into the crash characteristics in Shenzhen, which would help understand the driving behavior of Chinese drivers, identify the traffic safety problems, guide the research focuses on advanced driver assistance systems (ADASs) and traffic management countermeasures in China. |
format | Online Article Text |
id | pubmed-7908188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79081882021-02-27 Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016 Li, Guofa Liao, Yuan Guo, Qiangqiang Shen, Caixiong Lai, Weijian Int J Environ Res Public Health Article Road traffic crashes cause fatalities and injuries of both drivers/passengers in vehicles and pedestrians outside, thus challenge public health especially in big cities in developing countries like China. Previous efforts mainly focus on a specific crash type or causation to examine the crash characteristics in China while lacking the characteristics of various crash types, factors, and the interplay between them. This study investigated the crash characteristics in Shenzhen, one of the biggest four cities in China, based on the police-reported crashes from 2014 to 2016. The descriptive characteristics were reported in detail with respect to each of the crash attributes. Based on the recorded crash locations, the land-use pattern was obtained as one of the attributes for each crash. Then, the relationship between the attributes in motor-vehicle-involved crashes was examined using the Bayesian network analysis. We revealed the distinct crash characteristics observed between the examined levels of each attribute, as well the interplay between the attributes. This study provides an insight into the crash characteristics in Shenzhen, which would help understand the driving behavior of Chinese drivers, identify the traffic safety problems, guide the research focuses on advanced driver assistance systems (ADASs) and traffic management countermeasures in China. MDPI 2021-01-28 2021-02 /pmc/articles/PMC7908188/ /pubmed/33525743 http://dx.doi.org/10.3390/ijerph18031176 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Guofa Liao, Yuan Guo, Qiangqiang Shen, Caixiong Lai, Weijian Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016 |
title | Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016 |
title_full | Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016 |
title_fullStr | Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016 |
title_full_unstemmed | Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016 |
title_short | Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016 |
title_sort | traffic crash characteristics in shenzhen, china from 2014 to 2016 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908188/ https://www.ncbi.nlm.nih.gov/pubmed/33525743 http://dx.doi.org/10.3390/ijerph18031176 |
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