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Author:

Du, X. (Du, X..) | Zhang, Y. (Zhang, Y..) | Miao, H. (Miao, H..) | Li, Y. (Li, Y..) | Zhong, Z. (Zhong, Z..) | Jiang, L. (Jiang, L..) | Hou, B. (Hou, B..)

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Scopus

Abstract:

In order to reduce the risk of safe operation of metro systems, this paper proposes an evaluation indicator system for safe operation of urban metro systems from the perspective of resilient cities. Based on the analysis of the existing metro system evaluation indicator systems, this indicator system starts from the five basic dimensions of the physical elements of the metro systems, then cuts into the four basic characteristics of resilience over time. At last, it establishes an evaluation method for the goal of metro system resilience, which can be outlined as the 541 (i.e. five dimensions, four characteristics, and one goal) indicator system for the resilience evaluation of metro systems. Using the analytic hierarchy process to calculate and compare the weights of indicators at all levels within the system, and combining extension matter element theory to construct a metro system resilience evaluation model. Taking a metro system in a certain city as an example, the model is applied using the scores obtained from the expert scoring method. This indicator system can not only effectively identify the key physical elements of the entire metro system, but also establish a connection between different physical elements and different characteristics of resilience for the first time. It is an important expansion of the resilient city theory in the field of metro systems, and has a good reference value and significance for guiding the safe operation of metro systems. © 2023 Science Press. All rights reserved.

Keyword:

indicator system operation metro system analytic hierarchy process resilience resilient city

Author Community:

  • [ 1 ] [Du X.]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, 100024, China
  • [ 2 ] [Du X.]Key Laboratory of Urban Security and Disaster Engineering, Ministry of Education, Beijing University of Technology, Beijing, 100024, China
  • [ 3 ] [Zhang Y.]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, 100024, China
  • [ 4 ] [Zhang Y.]Key Laboratory of Urban Security and Disaster Engineering, Ministry of Education, Beijing University of Technology, Beijing, 100024, China
  • [ 5 ] [Miao H.]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, 100024, China
  • [ 6 ] [Miao H.]Key Laboratory of Urban Security and Disaster Engineering, Ministry of Education, Beijing University of Technology, Beijing, 100024, China
  • [ 7 ] [Li Y.]Urban Rail Transit Center, China Academy of Railway Sciences Corporation Limited, Beijing, 100081, China
  • [ 8 ] [Zhong Z.]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, 100024, China
  • [ 9 ] [Zhong Z.]Key Laboratory of Urban Security and Disaster Engineering, Ministry of Education, Beijing University of Technology, Beijing, 100024, China
  • [ 10 ] [Jiang L.]College of Civil and Architectural Engineering, Hebei University of Science and Technology, Shijiazhuang, 050026, China
  • [ 11 ] [Hou B.]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, 100024, China
  • [ 12 ] [Hou B.]Key Laboratory of Urban Security and Disaster Engineering, Ministry of Education, Beijing University of Technology, Beijing, 100024, China

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Source :

Journal of Natural Disasters

ISSN: 1004-4574

Year: 2023

Issue: 3

Volume: 32

Page: 1-13

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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