Impact Analysis of Rapid Network Changes in Urban Rail Transit on Passenger Flow Growth and Network Resilience

By analyzing stations, lines, and the whole network, we identified changes in passenger flow on Nanchang Metro, which was developed into a network in the past several years, particularly due to the rapid opening of Lines 2, 3, and 4. At the network level, the relationship between the passenger intensity and the operation of new lines was discussed. At the line level, the peak of passenger flow of a specific metro line and the differences in the growth characteristics of the passenger flow were analyzed. At the station level, the number of passengers entering and exiting the stations and passengers transferring to other lines were shown. In addition, this paper also focused on how newly and rapidly opened lines affect network resilience. By analyzing passenger flow across these three levels in Nanchang Metro, insights and recommendations for the future development of urban rail network are offered.

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Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.118
Primary Topic
Transportation Planning and Optimization
Type
article
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article

Impact Analysis of Rapid Network Changes in Urban Rail Transit on Passenger Flow Growth and Network Resilience

Chang-Yue Xu, Su Xi, Jiming Bao
Transportation Planning and Optimization
article

Impact Analysis of Rapid Network Changes in Urban Rail Transit on Passenger Flow Growth and Network Resilience

Chang-Yue Xu, Su Xi, Jiming Bao
article en

Abstract

By analyzing stations, lines, and the whole network, we identified changes in passenger flow on Nanchang Metro, which was developed into a network in the past several years, particularly due to the rapid opening of Lines 2, 3, and 4. At the network level, the relationship between the passenger intensity and the operation of new lines was discussed. At the line level, the peak of passenger flow of a specific metro line and the differences in the growth characteristics of the passenger flow were analyzed. At the station level, the number of passengers entering and exiting the stations and passengers transferring to other lines were shown. In addition, this paper also focused on how newly and rapidly opened lines affect network resilience. By analyzing passenger flow across these three levels in Nanchang Metro, insights and recommendations for the future development of urban rail network are offered.

Tongji University (CN)
Openalex Percentile: Top 80%
Transportation Planning and Optimization
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