Integrated resilience of urban rail transit network with active passenger flow restriction under major public health disasters

MA Fei; ZHAO Cheng-yong; SUN Qi-peng; CUI Rui-ying; MA Zhuang-lin; ZHU Yu-jie; WANG Zuo-hang

doi:10.19818/j.cnki.1671-1637.2023.01.016

Volume 23 Issue 1

Feb. 2023

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Article Navigation > Journal of Traffic and Transportation Engineering > 2023 > 23(1): 208-221

MA Fei, ZHAO Cheng-yong, SUN Qi-peng, CUI Rui-ying, MA Zhuang-lin, ZHU Yu-jie, WANG Zuo-hang. Integrated resilience of urban rail transit network with active passenger flow restriction under major public health disasters[J]. Journal of Traffic and Transportation Engineering, 2023, 23(1): 208-221. doi: 10.19818/j.cnki.1671-1637.2023.01.016

Citation:

MA Fei, ZHAO Cheng-yong, SUN Qi-peng, CUI Rui-ying, MA Zhuang-lin, ZHU Yu-jie, WANG Zuo-hang. Integrated resilience of urban rail transit network with active passenger flow restriction under major public health disasters[J]. Journal of Traffic and Transportation Engineering, 2023, 23(1): 208-221. doi: 10.19818/j.cnki.1671-1637.2023.01.016

Citation:

MA Fei, ZHAO Cheng-yong, SUN Qi-peng, CUI Rui-ying, MA Zhuang-lin, ZHU Yu-jie, WANG Zuo-hang. Integrated resilience of urban rail transit network with active passenger flow restriction under major public health disasters[J]. Journal of Traffic and Transportation Engineering, 2023, 23(1): 208-221. doi: 10.19818/j.cnki.1671-1637.2023.01.016

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Integrated resilience of urban rail transit network with active passenger flow restriction under major public health disasters

doi: 10.19818/j.cnki.1671-1637.2023.01.016

1.
School of Economics and Management, Chang'an University, Xi'an 710064, Shaanxi, China
2.
College of Transportation Engineering, Chang'an University, Xi'an 710064, Shaanxi, China

Funds:

National Natural Science Foundation of China 72104034

National Social Science Foundation of China 18BGL258

Natural Science Basic Research Program of Shaanxi Province 2022JM-423

Social Science Planning Fund Project of Xi'an 22GL89

More Information

Author Bio:
MA Fei(1979-), male, professor, PhD, mafeixa@chd.edu.cn
Received Date: 2022-11-05
Available Online: 2023-03-08
Publish Date: 2023-02-25

Abstract

Abstract

The influencing mechanism of major public health disasters on the integrated resilience of urban rail transit network was analyzed. The traditional resilience measurement method was modified by the resilience curve model, and an integrated resilience measurement method was constructed for the urban rail transit network affected by major public health disasters. The importance levels of urban rail transit network nodes were evaluated. A topological model of urban rail transit network was constructed by the complex network approach to simulate and assign the nodal passenger flow. The SEZIR infectious disease spread model was applied to simulate the spread process of disaster, and the evolution laws of the integrated resilience level of urban rail transit in the context of a major public health disaster were studied. The process of epidemic development in Xi'an was taken as the research object, the integrated resilience level of the urban rail transit network under active passenger flow constraints was simulated and numerically analyzed. Research results show that the ability of the urban rail transit network to interrupt the spread of major public health disasters can be effectively enhanced by active passenger flow restriction measures. The spread process of major public health disasters becomes gentle after the restriction level of passenger flow reaches 30%. Active passenger flow restriction measures are able to directly reduce the operational efficiency of the urban rail transit network, but the integrated resilience level of the urban rail transit network under the influence of major public health disasters can be improved. The improvement of integrated resilience level of the urban rail transit network is more significant when the passenger flow restriction level is 70%, 40%, and 20%, and the cumulative improvement is 10.73%, 46.87%, and 226.81%, respectively.
- urban rail transit,
- major public health disaster,
- integrated resilience,
- complex network,
- SEZIR infectious disease spread model,
- passenger flow restriction level

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References(32)

References

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Integrated resilience of urban rail transit network with active passenger flow restriction under major public health disasters

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