Abstract:
: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.
journal_name
Int J Environ Res Public Healthauthors
Mao X,Yuan C,Gan J,Zhang Sdoi
10.3390/ijerph16091542subject
Has Abstractpub_date
2019-05-01 00:00:00issue
9eissn
1661-7827issn
1660-4601pii
ijerph16091542journal_volume
16pub_type
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journal_title:International journal of environmental research and public health
pub_type: 杂志文章,多中心研究
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更新日期:2020-05-03 00:00:00
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pub_type: 杂志文章,随机对照试验
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pub_type: 杂志文章
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更新日期:2019-10-25 00:00:00