Investigating the Relationship between Traffic Violations and Crashes at Signalized Intersections: An Empirical Study in China
About 90% of traffic crashes are caused by human factors, within which traffic violations are one of the most typical and common causes. In order to investigate the relationship between traffic violations and traffic crashes, this research targets signalized intersections in two Chinese cities: Yinc...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/4317214 |
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| author | Ze-Hao Jiang Xiao-Guang Yang Tuo Sun Tao Wang Zheng Yang |
| author_facet | Ze-Hao Jiang Xiao-Guang Yang Tuo Sun Tao Wang Zheng Yang |
| author_sort | Ze-Hao Jiang |
| collection | DOAJ |
| description | About 90% of traffic crashes are caused by human factors, within which traffic violations are one of the most typical and common causes. In order to investigate the relationship between traffic violations and traffic crashes, this research targets signalized intersections in two Chinese cities: Yinchuan and Suqian. Thirty-one intersections are selected as the research sites, and additionally, the traffic volume, traffic violation, and traffic crash data of each intersection are collected for one year. A White’s test is conducted to test the homoscedasticity of the data and a multiple linear regression model is employed to investigate the relationship between traffic crashes and violations. The results show the following: (1) although the research sites are located in two different cities, the data is homoscedastic, which suggests that the above result may be statistically stable between different cities. (2) There is a significant multiple linear regression relationship (R2 = 0.782, adjusted R2 = 0.716) between the total number of traffic crashes and traffic violations. Among the chosen 7 independent variables, four are significantly related to the dependent variable, namely, driving commercial vehicle during internship, wrong-way entry, speeding, and traffic-light violation. (3) With the increase of annual average daily traffic (AADT), the number of total crashes goes up; however, the injury-or-fatality rate decreases, which means that intersections with smaller traffic volumes tend to have higher traffic crash severity. Based on the above conclusions, it is possible to conduct more targeted enforcement to improve the safety of intersections. |
| format | Article |
| id | doaj-art-61d44b7687d5413c88444958a6fba4e5 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-61d44b7687d5413c88444958a6fba4e52025-02-03T05:52:34ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/43172144317214Investigating the Relationship between Traffic Violations and Crashes at Signalized Intersections: An Empirical Study in ChinaZe-Hao Jiang0Xiao-Guang Yang1Tuo Sun2Tao Wang3Zheng Yang4Department of Construction Management, School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaKey Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 200092, ChinaKey Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 200092, ChinaSchool of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaSchool of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaAbout 90% of traffic crashes are caused by human factors, within which traffic violations are one of the most typical and common causes. In order to investigate the relationship between traffic violations and traffic crashes, this research targets signalized intersections in two Chinese cities: Yinchuan and Suqian. Thirty-one intersections are selected as the research sites, and additionally, the traffic volume, traffic violation, and traffic crash data of each intersection are collected for one year. A White’s test is conducted to test the homoscedasticity of the data and a multiple linear regression model is employed to investigate the relationship between traffic crashes and violations. The results show the following: (1) although the research sites are located in two different cities, the data is homoscedastic, which suggests that the above result may be statistically stable between different cities. (2) There is a significant multiple linear regression relationship (R2 = 0.782, adjusted R2 = 0.716) between the total number of traffic crashes and traffic violations. Among the chosen 7 independent variables, four are significantly related to the dependent variable, namely, driving commercial vehicle during internship, wrong-way entry, speeding, and traffic-light violation. (3) With the increase of annual average daily traffic (AADT), the number of total crashes goes up; however, the injury-or-fatality rate decreases, which means that intersections with smaller traffic volumes tend to have higher traffic crash severity. Based on the above conclusions, it is possible to conduct more targeted enforcement to improve the safety of intersections.http://dx.doi.org/10.1155/2021/4317214 |
| spellingShingle | Ze-Hao Jiang Xiao-Guang Yang Tuo Sun Tao Wang Zheng Yang Investigating the Relationship between Traffic Violations and Crashes at Signalized Intersections: An Empirical Study in China Journal of Advanced Transportation |
| title | Investigating the Relationship between Traffic Violations and Crashes at Signalized Intersections: An Empirical Study in China |
| title_full | Investigating the Relationship between Traffic Violations and Crashes at Signalized Intersections: An Empirical Study in China |
| title_fullStr | Investigating the Relationship between Traffic Violations and Crashes at Signalized Intersections: An Empirical Study in China |
| title_full_unstemmed | Investigating the Relationship between Traffic Violations and Crashes at Signalized Intersections: An Empirical Study in China |
| title_short | Investigating the Relationship between Traffic Violations and Crashes at Signalized Intersections: An Empirical Study in China |
| title_sort | investigating the relationship between traffic violations and crashes at signalized intersections an empirical study in china |
| url | http://dx.doi.org/10.1155/2021/4317214 |
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