Multiperiod metro timetable optimization based on the complex network and dynamic travel demand

Chen, Junlan; Pu, Ziyuan; Guo, Xiucheng; Cao, Jieyu; Zhang, Fang

doi:10.1016/j.physa.2022.128419

Cited by 5 publications

(1 citation statement)

References 52 publications

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“…The metro system can be regarded as a complex network composed of numerous nodes and edges [7,8]. The metro topology is continuously changing as a result of the ongoing construction and operation of new lines, and the metro network is becoming more sophisticated and complex.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Influence Analysis of the Important Station Evolution on the Resilience of Complex Metro Network

Meng¹,

Zhao

Liu

et al. 2023

Sustainability

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With the flourishing development of the urban metro system, the topology of important nodes changes as the metro network structure evolves further. The identical important node has distinct impacts on various metro networks’ resilience. At present, the dynamic influences of important station evolution on the resilience of metro networks remain to be studied further. Taking Shenzhen Metro Network (SZMN) as an example, the dynamic influences of the structure evolution of important nodes on the resilience of the metro network were investigated in this study. Firstly, the dynamic evolution characteristics of complex network topology and node centralities in metro systems were mined. Then, combined with the node interruption simulation and the resilience loss triangle theory, the resilience levels of distinct metro networks facing the failure of the same critical node were statistically assessed. Additionally, suggestions for optimal network recovery strategies for diverse cases were made. Finally, based on the evaluation results of node importance and network resilience, the dynamic influences of the topological evolution of important nodes on the resilience of metro networks were thoroughly discussed. The study’s findings help us comprehend the metro network’s development features better and can assist the metro management department in making knowledgeable decisions and taking appropriate action in an emergency. This study has theoretical and practical significance for the resilient operation and sustainable planning of urban metro network systems.

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Section: Introductionmentioning

confidence: 99%

Dynamic Influence Analysis of the Important Station Evolution on the Resilience of Complex Metro Network

Meng¹,

Zhao

Liu

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

Understanding Heterogeneous Passenger Route Choice in Municipal Rail Transit with Express and Local Trains: An Empirical Study in Shanghai

Peng,

Teng,

Wang

2024

Urban Rail Transit

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The express/local mode of municipal rail transit provides passengers with multiple alternatives to achieve more efficient and superior travel, in contrast to the conventional all-stop operation mode. However, the various route choices (including direct express trains, direct local trains, or transfers) covering different passenger groups pose a significant challenge to passenger flow assignment. To understand route choice behavior, it is crucial to measure the passenger heterogeneity (variability in individual and trip attributes) in order to propose targeted solutions for operation schemes and service planning. This paper proposes a hybrid model by integrating structural equation modeling and the mixed logit model under express/local mode to estimate the impact of passenger heterogeneity on route choice. An empirical study with revealed preference and stated preference surveys carried out in Shanghai revealed how individual and trip attributes quantitatively impact the sensitivity of factors in route choice. The results show that age and trip purpose are more significant factors. Compared to the control group, the probability of express trains is reduced by 10.22% for the elderly and by 11.36% for non-commuters. Our findings can provide support for more reasonable operation schemes and more targeted services.

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Last train schedule optimization for metro systems considering minimum adjustment cost under elastic passenger demand

Li,

Peng,

Luo

2024

Transportation Letters

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Multiperiod metro timetable optimization based on the complex network and dynamic travel demand

Cited by 5 publications

References 52 publications

Dynamic Influence Analysis of the Important Station Evolution on the Resilience of Complex Metro Network

Dynamic Influence Analysis of the Important Station Evolution on the Resilience of Complex Metro Network

Understanding Heterogeneous Passenger Route Choice in Municipal Rail Transit with Express and Local Trains: An Empirical Study in Shanghai

Last train schedule optimization for metro systems considering minimum adjustment cost under elastic passenger demand

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