Research on Site Selection of Emergency Rescue Station in Urban Rail Transit Line Network Based on P-center Model

Objective With the expansion of urban rail transit line network, the system risks become more complicated and uncontrollable. In order to improve the emergency rescue capability of urban rail transit system, site selection of emergency rescue stations within the line network needs to be stu-died. Method The subway coverage area is divided into speed limit sections according to the urban road loop to obtain the speed matrix of any path. Combined with the distance matrix, the time matrix is obtained after transformation. On this basis, the shortest time-based path between any stations is calculated. Considering the constraints in time, rescue relationship and cost 3 aspects, the P- center model with the goal of minimizing the maximum rescue time of the system is established. Taking the site selection of emergency rescue stations of Wuhan rail transit line network as a case and applying this model, the adaptive genetic algorithm is used in MATLAB software for programming solution, and the optimal scheme for the site selection of emergency rescue stations in this line network is obtained. Result & Conclusion Compared with similar researches, this site selection scheme featuring less investment but greater benefits fully proves that the P-center model proposed in the paper is advanced.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
DOI
https://doi.org/10.16037/j.1007-869x.2024.09.014
Primary Topic
Facility Location and Emergency Management
Type
article
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article

Research on Site Selection of Emergency Rescue Station in Urban Rail Transit Line Network Based on P-center Model

SHILAP Revista de lepidopterología
Facility Location and Emergency Management
article

Research on Site Selection of Emergency Rescue Station in Urban Rail Transit Line Network Based on P-center Model

article en

Abstract

Objective With the expansion of urban rail transit line network, the system risks become more complicated and uncontrollable. In order to improve the emergency rescue capability of urban rail transit system, site selection of emergency rescue stations within the line network needs to be stu-died. Method The subway coverage area is divided into speed limit sections according to the urban road loop to obtain the speed matrix of any path. Combined with the distance matrix, the time matrix is obtained after transformation. On this basis, the shortest time-based path between any stations is calculated. Considering the constraints in time, rescue relationship and cost 3 aspects, the P- center model with the goal of minimizing the maximum rescue time of the system is established. Taking the site selection of emergency rescue stations of Wuhan rail transit line network as a case and applying this model, the adaptive genetic algorithm is used in MATLAB software for programming solution, and the optimal scheme for the site selection of emergency rescue stations in this line network is obtained. Result & Conclusion Compared with similar researches, this site selection scheme featuring less investment but greater benefits fully proves that the P-center model proposed in the paper is advanced.

SHILAP Revista de lepidopterología
China University of Geosciences (CN)
Sustainable cities and communities
Openalex Percentile: Top 57%
Facility Location and Emergency Management
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