An exploratory hazard-based analysis of highway incident duration |
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| Affiliation: | 1. School of Civil & Environment Engineering, Faculty of Engineering, Queensland University of Technology, Australia;2. Institute of Transport and Logistics Studies, University of Sydney Business School, The University of Sydney, Australia;3. School of Civil Engineering, The University of Queensland, Australia;1. Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China;2. Department of Civil and Environmental Engineering, University of Washington, Department of Civil Engineering, Box 352700, Seattle, WA 98195-2700, United States;3. School of Traffic and Transportation Engineering, Key Laboratory of Smart Transport in Hunan Province, Central South University, Changsha 410075, China;4. Department of Civil and Environmental Engineering, University of Washington, More Hall 133B, Seattle, WA 98195, United States;1. Graduate Research Assistant, Department of Civil, Structural and Environmental Engineering, Engineering Statistics and Econometrics Application Research Laboratory, University at Buffalo – The State University of New York, 204 Ketter Hall, Buffalo, NY 14260, USA;2. Assistant Professor, Department of Transportation and Hydraulic Engineering, School of Rural & Surveying Engineering, Aristotle University of Thessaloniki, Thessaloniki 541 24, Greece;3. Assoc. Professor and Stephen E. Still Chair of Transportation Engineering, Department of Civil, Structural and Environmental Engineering, Stephen Still Institute for Sustainable Transportation and Logistics, University at Buffalo – The State University of New York, 212 Ketter Hall, Buffalo, NY 14260, USA;4. Frederick R. Dickerson Chair and Professor, School of Civil and Environmental Engineering and H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, 790 Atlantic Drive, Atlanta, GA 30332, USA;1. Department of Logistics and Shipping Management, Kainan University, No. 1, Kainan Rd., Luzhu Shiang, Taoyuan 33857, Taiwan;2. Department of Transportation and Logistics Management, National Chiao Tung University, 4F, 118, Sec. 1, Chung-Hsiao W. Rd., Taipei 10012, Taiwan;1. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;2. Department of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, FL 32816, USA;1. Department of Civil and Environmental Engineering, University of Cyprus, 75 Kallipoleos Street, P.O. Box 20537, 1678 Nicosia, Cyprus;2. National Technical University of Athens, 5 Iroon Polytechniou Street, Zografou Campus, 157 73 Athens, Greece |
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| Abstract: | The statistical analysis of highway incident duration has become an increasingly import research topic due to the impact that highway incidents (vehicle accidents and disablements) have on traffic congestion. In addition, there is a growing need to evaluate incident management programs that seek to reduce incident duration and incident-induced traffic congestion. We apply hazard-based duration models to statistically evaluate the time it takes detect/report, respond to, and clear incidents. Two-year data from Washington State's incident response team program were used to estimate the hazard models. The model estimation results show that a wide variety of factors significantly affect incident times (i.e. detection/reporting, response, and clearance times), and that different distributional assumptions for the hazard function are appropriate for the different incident times being considered. It was also found that the estimated coefficients were not stable between the two years of data used in model estimation. The findings of this paper provide an important demonstration of method and an empirical basis to assess incident management programs. |
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