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Risk Factors Affecting Traffic Accidents at Urban Weaving Sections: Evidence from China
As a critical configuration of interchanges, the weaving section is inclined to be involved in more traffic accidents, which may bring about severe casualties. To identify the factors associated with traffic accidents at the weaving section, we employed the multinomial logistic regression approach t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539961/ https://www.ncbi.nlm.nih.gov/pubmed/31052370 http://dx.doi.org/10.3390/ijerph16091542 |
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author | Mao, Xinhua Yuan, Changwei Gan, Jiahua Zhang, Shiqing |
author_facet | Mao, Xinhua Yuan, Changwei Gan, Jiahua Zhang, Shiqing |
author_sort | Mao, Xinhua |
collection | PubMed |
description | As a critical configuration of interchanges, the weaving section is inclined to be involved in more traffic accidents, which may bring about severe casualties. To identify the factors associated with traffic accidents at the weaving section, we employed the multinomial logistic regression approach to identify the correlation between six categories of risk factors (drivers’ attributes, weather conditions, traffic characteristics, driving behavior, vehicle types and temporal-spatial distribution) and four types of traffic accidents (rear-end, side wipe, collision with fixtures and rollover) based on 768 accident samples of an observed weaving section from 2016 to 2018. The modeling results show that drivers’ gender and age, weather condition, traffic density, weaving ratio, vehicle speed, lane change behavior, private cars, season, time period, day of week and accident location are important factors affecting traffic accidents at the weaving section, but they have different contributions to the four traffic accident types. The results also show that traffic density of ≥31 vehicle/100 m has the highest risk of causing rear-end accidents, weaving ration of ≥41% has the highest possibility to bring about a side wipe incident, collision with fixtures is the most likely to happen in snowy weather, and rollover is the most likely incident to occur in rainy weather. |
format | Online Article Text |
id | pubmed-6539961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65399612019-06-05 Risk Factors Affecting Traffic Accidents at Urban Weaving Sections: Evidence from China Mao, Xinhua Yuan, Changwei Gan, Jiahua Zhang, Shiqing Int J Environ Res Public Health Article As a critical configuration of interchanges, the weaving section is inclined to be involved in more traffic accidents, which may bring about severe casualties. To identify the factors associated with traffic accidents at the weaving section, we employed the multinomial logistic regression approach to identify the correlation between six categories of risk factors (drivers’ attributes, weather conditions, traffic characteristics, driving behavior, vehicle types and temporal-spatial distribution) and four types of traffic accidents (rear-end, side wipe, collision with fixtures and rollover) based on 768 accident samples of an observed weaving section from 2016 to 2018. The modeling results show that drivers’ gender and age, weather condition, traffic density, weaving ratio, vehicle speed, lane change behavior, private cars, season, time period, day of week and accident location are important factors affecting traffic accidents at the weaving section, but they have different contributions to the four traffic accident types. The results also show that traffic density of ≥31 vehicle/100 m has the highest risk of causing rear-end accidents, weaving ration of ≥41% has the highest possibility to bring about a side wipe incident, collision with fixtures is the most likely to happen in snowy weather, and rollover is the most likely incident to occur in rainy weather. MDPI 2019-05-01 2019-05 /pmc/articles/PMC6539961/ /pubmed/31052370 http://dx.doi.org/10.3390/ijerph16091542 Text en © 2019 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 Mao, Xinhua Yuan, Changwei Gan, Jiahua Zhang, Shiqing Risk Factors Affecting Traffic Accidents at Urban Weaving Sections: Evidence from China |
title | Risk Factors Affecting Traffic Accidents at Urban Weaving Sections: Evidence from China |
title_full | Risk Factors Affecting Traffic Accidents at Urban Weaving Sections: Evidence from China |
title_fullStr | Risk Factors Affecting Traffic Accidents at Urban Weaving Sections: Evidence from China |
title_full_unstemmed | Risk Factors Affecting Traffic Accidents at Urban Weaving Sections: Evidence from China |
title_short | Risk Factors Affecting Traffic Accidents at Urban Weaving Sections: Evidence from China |
title_sort | risk factors affecting traffic accidents at urban weaving sections: evidence from china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539961/ https://www.ncbi.nlm.nih.gov/pubmed/31052370 http://dx.doi.org/10.3390/ijerph16091542 |
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