TY - JOUR
T1 - A strategic planning model for the railway system accident rescue problem
AU - Cheng, Yung-Hsiang
AU - Liang, Zheng Xian
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
AB - 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.
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U2 - 10.1016/j.tre.2014.06.005
DO - 10.1016/j.tre.2014.06.005
M3 - Article
AN - SCOPUS:84903851695
SN - 1366-5545
VL - 69
SP - 75
EP - 96
JO - Transportation Research, Part E: Logistics and Transportation Review
JF - Transportation Research, Part E: Logistics and Transportation Review
ER -