Risk Factors Affecting Traffic Accidents at Urban Weaving Sections: Evidence from China

Xinhua Mao, Changwei Yuan, Jiahua Gan and Shiqing Zhang
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Xinhua Mao: School of Economics and Management, Chang’an University, Xi’an 710064, China
Changwei Yuan: School of Economics and Management, Chang’an University, Xi’an 710064, China
Jiahua Gan: Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
Shiqing Zhang: School of Management Engineering, Zhengzhou University of Aeronautics, Zhengzhou 450046, China

IJERPH, 2019, vol. 16, issue 9, 1-17

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.

Keywords: traffic accidents; risk factors; weaving section; multinomial logistic regression (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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