A strategic planning model for the railway system accident rescue problem

Yung-Hsiang Cheng; Zheng Xian Liang

doi:10.1016/j.tre.2014.06.005

A strategic planning model for the railway system accident rescue problem

Yung-Hsiang Cheng, Zheng Xian Liang

Research output: Contribution to journal › Article › peer-review

19 Citations (Scopus)

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.

Original language	English
Pages (from-to)	75-96
Number of pages	22
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	69
DOIs	https://doi.org/10.1016/j.tre.2014.06.005
Publication status	Published - 2014 Jan 1

All Science Journal Classification (ASJC) codes

Business and International Management
Civil and Structural Engineering
Transportation

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10.1016/j.tre.2014.06.005

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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.",

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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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ER -

A strategic planning model for the railway system accident rescue problem

Abstract

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