Roles of personal and environmental factors in the red light running propensity of pedestrian: Case study at the urban crosswalks |
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| Institution: | 1. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;2. Jiangsu Key Laboratory of Urban ITS, Southeast University, Si Pai Lou #2, Nanjing 210096, China;3. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Si Pai Lou #2, Nanjing 210096, China;1. Road and Traffic Key Laboratory, Ministry of Education, Shanghai 201804, China;2. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, SiPaiLou #2, Nanjing 210096, China;3. College of Transportation Engineering, Tongji University, 4800 Cao''an Road, Shanghai 201804, China;4. Zachry of Civil Engineering, Texas A&M University, College Station 77840, United States;1. Department of Civil Engineering, University of British Columbia, 6250 Applied Science Lane, Vancouver, BC, V6T 1Z4, Canada;2. Southeast University Road #2, Nanjing, 211189, China;3. School of Transportation, Southeast University Si Pai Lou #2, Nanjing, 210096, China;1. Urban Transport Research Center, School of Traffic and Transportation Engineering, Central South University, Changsha, Hunan, 410075 PR China;2. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong;3. Department of Civil and Environmental Engineering, Utah State University, Logan, UT, United States;4. Aviation Weather Services Branch, Hong Kong Observatory, Tsim Sha Tsui, Hong Kong;1. IFSTTAR-LMA, 304 Chemin de la Croix Blanche, F-13300 Salon-de-Provence, France;2. CETE Méditerranée, Pôle d’activités Les Milles, Avenue Albert Einstein, 13593 Aix-en-Provence Cedex 3, France;1. School of Transportation, Southeast University, Dongnandaxue Road 2, Nanjing, Jiangsu, China;2. Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Dongnandaxue Road 2, Nanjing, Jiangsu, China;3. School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin, China |
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| Abstract: | Pedestrian is vulnerable to mortality and severe injury in road crashes. Red light running violation of pedestrians is one of the leading causes to the crashes at signalized intersections, at which the crash involvement rates of pedestrians are high. Therefore, it is important to identify the factors that affect the propensity of red light running of pedestrian. In this study, effects of both personal factors (pedestrians’ demographics and behavior) and environmental factors (presence and behavior of other pedestrians, signal time, and traffic condition) on the individual decision of red light running violation are examined, using the video observation surveys at the signalized crossings that are prone to pedestrian-vehicle crashes and have moderate pedestrian and vehicular traffic volumes in the urban area. Crossing behaviors of 6320 pedestrians are captured. Results of a random parameter logit model indicate that pedestrian gender, age, number of lanes, presence of a companion, number of pedestrians around, presence of other violators in the same cycle, time to green, red time, traffic volume, and percentage of heavy vehicles all affect the propensity of red light running violation of pedestrians. Also, there are significant interaction effects by pedestrian’s gender and age, presence of other violators, with a companion, and traffic volume on the propensity. Findings are indicative to the development of effective engineering, enforcement and educational initiatives combating the red light running violation behavior of pedestrians. Therefore, pedestrian safety level at the signalized intersections can be enhanced. |
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| Keywords: | Red light running violation Pedestrian safety Signalized intersection Observation survey Random parameter logit model |
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