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Sustainability 2017, 9(6), 897;

Analyzing Risk Factors for Fatality in Urban Traffic Crashes: A Case Study of Wuhan, China

1,2,3,4,* , 1,2,* , 1,2
Shenzhen Key Laboratory of Spatial Smart Sensing and Services, College of Civil Engineering, Shenzhen University, Shenzhen 518060, China
Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation, Shenzhen University, Shenzhen 518060, China
College of Information Engineering, Shenzhen University, Shenzhen 518060, China
Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, Shenzhen 518034, China
Shenzhen Prevention and Treatment Center for Occupational Diseases, 2019 Buxin Road, Luohu District, Shenzhen 518010, China
Authors to whom correspondence should be addressed.
Academic Editors: Mark Rosenberg, Wuyi Wang, Thomas Krafft, Linsheng Yang and Yang Cheng
Received: 11 April 2017 / Revised: 15 May 2017 / Accepted: 23 May 2017 / Published: 26 May 2017
Full-Text   |   PDF [235 KB, uploaded 26 May 2017]


How to maintain public transit safety and sustainability has become a major concern for the department of Road Traffic Administration. This study aims to analyze the risk factors that contribute to fatality in road traffic crashes using a 5-year police-reported dataset from the Wuhan Traffic Management Bureau. Four types of variables, including driving experience, environmental factor, roadway factor and crash characteristic, were examined in this research by a case-control study. To obtain a comprehensive understanding of crash fatality, this study explored a detailed set of injury-severity risk factors such as impact direction, light and weather conditions, crash characteristic, driving experience and high-risk driving behavior. Based on the results of statistical analyses, fatality risk of crash-involved individuals was significantly associated with driving experience, season, light condition, road type, crash type, impact direction, and high-risk driving behavior. This study succeeded in identifying the risk factors for fatality of crash-involved individuals using a police-reported dataset, which could provide reliable information for implementing remedial measures and improving sustainability in urban road network. A more detailed list of explanatory variables could enhance the accountability of the analysis. View Full-Text
Keywords: crash fatality; risk factors; case-control study; urbanization crash fatality; risk factors; case-control study; urbanization
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Wang, Z.; Yue, Y.; Li, Q.; Nie, K.; Tu, W.; Liang, S. Analyzing Risk Factors for Fatality in Urban Traffic Crashes: A Case Study of Wuhan, China. Sustainability 2017, 9, 897.

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