Factors contributing to hit-and-run crashes in China |
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| Affiliation: | 1. Center for Studies of Hong Kong, Macao and Pearl River Delta, Sun Yat-Sen University, Xingang Xi Road, Guangzhou, China;2. Sun Yat-Sen Business School, Sun Yat-Sen University, Xingang Xi Road, Guangzhou, China;3. Department of Urban Planning, Columbia University, 1172 Amsterdam Avenue, NY, United States;4. Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States;5. Traffic Management Bureau of Guangdong Provincial Security Department, Guangzhou, China;6. Chinese Academy of Science, Beijing, China;1. Department of Civil and Environmental Engineering, University of South Florida, 4202 E. Fowler Avenue, ENC2006, Tampa, FL 33620, United States;2. Civil, Environmental, and Construction Engineering (CECE), Texas Tech University, 2500 Broadway, Lubbock, TX 79409, United States;3. Center for Urban Transportation Research, University of South Florida, 4202 E. Fowler Avenue, CUT100, Tampa, FL 33620, United States;4. Department of Civil and Environmental Engineering, University of South Florida, 4202 E. Fowler Avenue, ENC3002, Tampa, Florida, USA;1. North Central Superpave Center and Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall, West Lafayette, IN 47907-2051, USA;2. Department of Civil and Environmental Engineering, University of South Florida, 4202 E Fowler Avenue, ENC 3300, Tampa, FL 33620, USA;1. Professor of Civil and Environmental Engineering, Courtesy Department of Economics, University of South Florida, 4202 E. Fowler Avenue, ENC 3506, Tampa, FL 33620, United States;2. Professor of Civil Engineering, Pennsylvania State University, 226C Sackett Building, University Park, PA 16802, United States;3. Adnan Abou-Ayyash Centennial Professor in Transportation Engineering, Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, 301 E. Dean Keeton St. Stop C1761, Austin, TX 78712, United States;1. Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall, West Lafayette, IN 47907-2051, USA;2. Department of Civil and Environmental Engineering, University of South Florida, 4202 E Fowler Avenue, ENC 3300, Tampa, FL 33620, USA;1. Department of Civil Engineering, University of South Alabama, 150 Jaguar Drive, Shelby Hall, Suite 3142, Mobile, AL 36688, United States;2. Department of Civil, Construction & Environmental Engineering, University of Alabama, Room 213C Shelby Hall, Tuscaloosa, AL 35487, United States |
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| Abstract: | Hit-and-run accidents, or those where the perpetrator leaves the crash scene without reporting the event, are a serious concern because they can delay the rescue of victims, thereby increasing the fatality rate and severity of injuries. However, only a few studies exist on the factors that influence hit-and-run behavior, particularly in developing countries. Using data collected from Guangdong Province in China, this study applies a logistic regression model to analyze factors associated with hit-and-run behavior in five categories: crash attributes and human, vehicle, road, and environmental factors. This study finds that the probability of hit-and-run behavior increases with accidents that involve pedestrians, occur in dark driving conditions, and are caused by drivers who are male, middle-aged, and without a valid driver’s license, extensive driving experience, or automobile insurance. Therefore, we recommend closer supervision and better public education for different groups of people about traffic laws and regulations. |
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| Keywords: | Road safety Hit-and-run Logistic regression China |
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