Citation

Ji X, li D, Yang W. China Saf. Sci. J. 2019; 29(4): 31-36.

Copyright

(Copyright © 2019, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2019.04.006

PMID

unavailable

Abstract

In order to study the temporal evolution of traffic accidents causes, the entropy-TOPSIS is adopted to quantify the severity of traffic accidents based on the accident data of Yuan-Shuang secondary highway from 2012 to 2017 and using the severity of accidents as dependent variable and the time, traffic environment and participants of accidents as independent variables. Then the correlation analysis was made to study the degree of correlation between dependent variables and independent variables. Finally, a severity analysis model of traffic accidents on each year was established based on Logistic model and its reliability and validity were verified by taking goodness of fit test and prediction accuracy test. The results show that the severity of accidents is highly correlated with factors like weather, time period, accident type, involvement of unprotected vehicles or not and involvement of oversize vehicles or not, and the accident would be severer when an unprotected or oversize vehicle hits pedestrians. © 2019 China Safety Science Journal

Language: zh