Study on Invulnerability of Urban Agglomeration Passenger Traffic Network Considering Time Characteristics

Authors

Chengbing Li, School of Transportation, Inner Mongolia University, Hohhot 010070, China;Follow
Yunfei Li, School of Transportation, Inner Mongolia University, Hohhot 010070, China;
Peng Wu, School of Transportation, Inner Mongolia University, Hohhot 010070, China;

Abstract

Abstract: The cascading failure invulnerability study of comprehensive passenger transport network in urban agglomeration is helpful to improve the safety and transportation efficiency of intercity travel. In order to be consistent with the actual situation, a comprehensive passenger transport network model for urban agglomerations is constructed based on multi-layer complex network theory and actual passenger flow. The passenger transport network cascading failure invulnerability model considering time characteristics is established with unit time step. The spatial and temporal evaluation indexes are put forward to analyze the network situation in each period. Taking Hu-Bao-E-Yu urban agglomeration as an example, the results show that the network invulnerability is stronger when the overload capacity adjustment parameter value is 1.2, and the improvement of the network invulnerability is not obvious with the increase of the overload capacity adjustment parameter. The network invulnerability becomes significantly worse when the load adjustment parameter value is greater than 1.2.

Recommended Citation

Li, Chengbing; Li, Yunfei; and Wu, Peng (2022) "Study on Invulnerability of Urban Agglomeration Passenger Traffic Network Considering Time Characteristics," Journal of System Simulation: Vol. 34: Iss. 9, Article 13.
DOI: 10.16182/j.issn1004731x.joss.21-0298
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss9/13

First Page

2037

Revised Date

2021-06-16

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0298

Last Page

2045

CLC

TP391.9

Recommended Citation

Chengbing Li, Yunfei Li, Peng Wu. Study on Invulnerability of Urban Agglomeration Passenger Traffic Network Considering Time Characteristics[J]. Journal of System Simulation, 2022, 34(09): 2037-2045.

DOI

10.16182/j.issn1004731x.joss.21-0298