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A strategic planning model for the railway system accident rescue problem
Affiliation:1. Department of Histology and Embryology, College of Basic Medical Sciences, Norman Bethune Health Science Center of Jilin University, Changchun, Jilin Province, 130021, PR China;2. Laboratory Teaching Center of Basic Medicine, Norman Bethune Health Science Center of Jilin University, Changchun, Jilin Province, 130021, PR China;1. School of Electronic and Information Engineering, Beijing Jiaontong University, No.3 Shangyuancun, Haidian District, Beijing, PR China;2. Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, No 3 Shangyuancun, Haidian District, 100044, Beijing, PR China;1. School of Naval Architecture, Ocean & Civil Engineering, and State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;2. Future Cities Laboratory, Singapore-ETH Centre, Singapore 138602, Singapore;1. DCC, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil;2. ICD-LOSI, Université de Technologie de Troyes, Troyes, France
Abstract:The present study examines the location of emergency rescue problems for urban ambulance and railway emergency systems. The proposed model considers probabilistic rescue demand, independent busy fractions of ambulances, and the corresponding risk levels in railway segments. We formulate the proposed model using fuzzy multi-objective programming and solve it using a generic algorithm and a non-dominated sorting genetic algorithm-II. Computation results are analyzed by applying the model to a real-world Taiwan railway system. Analytical results demonstrate that a proper adjustment of the rescue resource location improves rescue effectiveness for railway rescue and urban medical service demand.
Keywords:Railway accident rescue  Strategic planning model  Risk assessment  Accessibility
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