|Table of Contents|

Hierarchical planning location model of railway rescue center(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2013年03期
Page:
86-93
Research Field:
交通运输规划与管理
Publishing date:

Info

Title:
Hierarchical planning location model of railway rescue center
Author(s):
WU Yan-hua;  WANG Fu-zhang;  LI Fang
Institute of Computing Technology, China Academy of Railway Sciences, Beijing 100081, China
Keywords:
railway rescue;  emergency management;  planning location;  ant colony optimization;  multi-objective planning;  coverage model;  parameter abstraction
PACS:
U298.6
DOI:
-
Abstract:
Based on the characteristic of organization institution and the existing situation of emergency rescue for Chinese railway, the construction concept of hierarchy network for railway rescue center was proposed. The deficiency of existing multi-objective planning location model for railway rescue center was analyzed, and railway rescue center was divided into hub rescue center and fast rescue center. The minimum total cost of rescue center and the shortest rescue response time were taken as double objective functions, the maximum service distance was taken as constraint condition, and the multi-objective hierarchical planning location model was put out. Several methods such as analytic hierarchy process(AHP), gray relational analysis and linear reference technology were used to abstract model parameters, the proposed model was solved by using ant colony optimization(ACO), and the existing rescue decision scheme and the calculation result of proposed model were compared. Research result shows that by using the proposed model, there are 26 preparation points of rescue center, 61 service demand points and 188 paths through parameter abstraction. When accident risk is completely covered, the number of rescue centers decreases by 3, the cost decreases by 2 400 000 yuan, and the total rescue response time, the maximum average rescue response time and the minimum average rescue response time decrease by 0.04, 0.46, 0.29 h respectively. 4 tabs, 3 figs, 20 refs.

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Last Update: 2013-07-30