A random parameters probit model of urban and rural intersection crashes |
| |
| Affiliation: | 1. Department of Civil Engineering, University of Costa Rica, Costa Rica;2. Department of Transportation and Logistics Management, National Chiao Tung University, Taiwan, ROC;3. Department of Civil and Environmental Engineering, The Pennsylvania State University, United States;1. Department of Civil and Environmental Engineering, University of Hawaii at Manoa, 2540 Dole Street Honolulu, HI 96822, United States;2. Metropia, Inc., 1790 E.River Rd., Suite 140, Tucson, AZ 85718, United States;3. Department of Civil and Environmental Engineering, University of Utah, 110 Central Campus Drive, 2137 MCE, Salt Lake City, UT 84112, United States;4. Department of Civil Engineering, University of New Mexico, 210 University Blvd NE Albuquerque, NM 87106, United States;1. Institute of Transport Studies, Department of Civil Engineering, Monash University, Australia;2. Department of Infrastructure Engineering, The University of Melbourne, Australia;1. Department of Civil and Environmental Engineering, University of Hawaii at Manoa, 2540 Dole Street, Honolulu, HI 96822, United States;2. Department of Civil & Environmental Engineering, University of Utah, 110 Central Campus Drive, Suite 2000, Salt Lake City, UT 84112, United States;3. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China;4. Urban Transport Research Center, School of Traffic and Transportation Engineering, Central South University, Changsha, Hunan 410075, China;5. Traffic Operations Division, Texas Department of Transportation, Austin, TX, 78717, USA;6. Beijing Transportation Engineering Key Laboratory, Beijing University of Technology, Beijing, 100124, China;7. Transportation Research Center, Beijing University of Technology, Beijing, 100124, China;1. Civil and Architectural Engineering Department, University of Wyoming, 1000 E. University Ave, Dept 3295, Laramie, WY, 82071, United States;2. Traffic & Safety Bureau, Montana Department of Transportation, 2701 Prospect Avenue, PO Box 201001, Helena, MT, 59620-1001, United States;3. Wyoming Technology Transfer Center, 1000 E. University Ave, Dept 3295, Laramie, WY, 82071, United States |
| |
| Abstract: | ![]()
Intersections are hazardous locations and many studies have been conducted to identify the factors contributing to the frequency and severity of intersection crashes. However, little attention has been devoted to investigating the differences between crashes at urban and rural intersections, which have different road, traffic and environmental characteristics. By applying a random parameters probit model to the data from the Canadian Province of Alberta between 2008 and 2012, we find that urban intersection crashes are more likely to be associated with hit and run behaviours, roads with higher traffic volume, wet surfaces, four lanes and skewed intersections, and crashes on weekdays and off-peak hours, whereas rural crashes are likely to be associated with increases in fatalities and injuries, roads with higher speed limits, special road features, exit and entrance terminals, gravel, curvature and two lanes, crashes during weekends, peak hours and night-time, run-off-road crashes, and police visit to crash scene. Hence, road safety professionals in urban and rural areas should consider these differences when designing and implementing counter-measures to improve intersection safety, especially their safety audits and reviews, enforcement activities and education campaigns, to target the more vulnerable times and locations in the different areas. |
| |
| Keywords: | Intersection crashes Urban intersection Rural intersection Random parameters probit model |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
