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Resilience Assessment of Multimodal Urban Transport Networks.

Authors :
Chen, Yishui
Wang, Xiaoya
Song, Xuewang
Jia, Jianlin
Chen, Yanyan
Shang, Wen-Long
Source :
Journal of Circuits, Systems & Computers; Dec2022, Vol. 31 Issue 18, p1-21, 21p
Publication Year :
2022

Abstract

With the development of urbanization and the evolution of urban network systems, multimodal urban transport network (MUTN) systems play a vital role in improving network effects and operational efficiency. However, urban transport networks are easily affected by natural disasters and traffic incidents, which can lead to significant human and economic losses. Accordingly, it is vital to be able to assess the resilience of transport networks in the face of various disruptions. This study, therefore, utilizes complex network theory to analyze the resilience of multimodal urban transport networks, with the resilience accessed based on topological indices. The MUTN in Beijing is selected as a case study for simulation analysis. Based on the road network and subway network, a model MUTN is established, and the Monte Carlo method is used to simulate random attacks. The results show that the MUTN in Beijing has good resilience against disruptions. This study guides the evaluation of the overall resilience of multimodal urban transport networks and will be useful for transportation planners and decision-makers in dealing with emergencies and natural disasters in the future. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02181266
Volume :
31
Issue :
18
Database :
Complementary Index
Journal :
Journal of Circuits, Systems & Computers
Publication Type :
Academic Journal
Accession number :
161085646
Full Text :
https://doi.org/10.1142/S0218126622503108