Properties of Chinese railway network: Multilayer structures based on timetable data

Zhang, Hui; Cui, Houdun; Wang, Wei; Wenbo, Song

doi:10.1016/j.physa.2020.125184

Cited by 25 publications

(8 citation statements)

References 54 publications

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“…The nodes with large degrees have been proven to be more significant than other nodes in multilayer railway networks [8]. According to the node degree, the system performance of the MRRTS is investigated for the first three nodes with the highest degree, namely S‐CQB, Shapingba Station (SPB), and CQX.…”

Section: Application and Resultsmentioning

confidence: 99%

“…According to railway routes, Zhang et al. [8] investigated the properties of multilayer railway networks without passenger flow. De Domenico et al.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The multilayer network comprises multimode and single mode rail transit networks with different layers. According to railway routes, Zhang et al [8] investigated the properties of multilayer railway networks without passenger flow. De Domenico et al [9] assessed the navigability of a multilayer rail transit network under random failures.…”

Section: Rail Transit Networkmentioning

confidence: 99%

“…The nodes with large degrees have been proven to be more significant than other nodes in multilayer railway networks [8].…”

Section: Performance Of the Mrrtsmentioning

confidence: 99%

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Multilayer structures and resilience evaluation for multimode regional rail transit system

Han

et al. 2022

IET Intelligent Trans Sys

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The integrated travel demand has promoted the interconnection of multimode rail transit. As different rail transit systems are separately modeled, current network and resilience evaluation methods are limited in addressing interconnected characteristics and various travel demands. In this study, a multilayer network was constructed to validly understand the interconnected characteristics of the multimode regional rail transit system (MRRTS). A weighted multilayer regional rail transit network (W-MRRTN) was presented to describe the travel demands and choices from an overall system perspective. Based on the W-MRRTN combined with topological and operational features, a novel performance indicator was proposed, explicitly considered travel delays and rerouting. Furthermore, a specific definition, performance-based metric, and simulation approach for resilience evaluation that characterized the absorptive, adaptive, and restorative capacities, was proposed. The consequences of accumulative and rerouted passengers were expressly considered to quantify the time-dependent resilience under different disruptions. The proposed framework was applied to MRRTS in Chongqing metropolitan area, China. The results identify the stations with the highest impact on network connectivity and passenger flow, thereby proving the assortative and heterogeneous ability of the network. The comprehensive performance indicator evaluates the system more accurately than that using a single indicator. Moreover, the system under the disruption of 10, 20, and 35 min have no adaptive capacity, indicating that MRRTN is non-resilient. The development of adaptive capacity can improve system resilience. In addition, attention should be paid to the transfer stations located near the disrupted stations. The methods and results presented in this study can be adopted as a support multimode system by transport planners, managers, and policymakers.

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Section: Application and Resultsmentioning

confidence: 99%

“…According to railway routes, Zhang et al. [8] investigated the properties of multilayer railway networks without passenger flow. De Domenico et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Rail Transit Networkmentioning

confidence: 99%

“…The nodes with large degrees have been proven to be more significant than other nodes in multilayer railway networks [8].…”

Section: Performance Of the Mrrtsmentioning

confidence: 99%

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Multilayer structures and resilience evaluation for multimode regional rail transit system

Han

et al. 2022

IET Intelligent Trans Sys

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“…Different types of multimodal transport networks have been modeled in several empirical studies, as shown in Table 1 [39]. Note that air travel can be modeled as a heterogeneous mode of transport, as different air travel companies constitute different layers of a network [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Assessing robustness in multimodal transportation systems: a case study in Lisbon

Aparício

Arsénio

Henriques

2022

Eur. Transp. Res. Rev.

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Introduction Worldwide public transport systems are exposed to disruptions caused by malfunctions, accidents, maintenance, reduced fleet, and disasters, compromising mobility. Transport networks’ multimodal planning and management can be explored to increase their robustness against these events. In this context, this research paper proposes and empirically compares methods to assess the robustness of a multimodal transport network, looking at aspects regarding the single-mode and multimodal network topology. Materials and Methods We hypothesize that the appropriate multilayered and traffic sensitive modeling of a multimodal transport network can help characterize robustness and further unravel vulnerabilities related to the integration of different transport modes. Using metric-based targeting, we evaluate how the network decreases performance when simulating failures on stations and pathways using different scenarios. The following six extraction strategies for nodes and edges were used in the simulation: Random removal; Initial Degree removal; Initial Betweenness removal; Recalculate Degree removal; Recalculate Betweenness removal; and Multimodal Hubs removal. Lisbon’s public transport is used as a case study and is modeled as a multiplex network integrating eight different modes of transport. Proposing a novel normalized version of assessing the impact of failures, we were able to compare side by side the robustness of each modality layer, regardless of their size. Lastly, we simulate cascading events such as the breakdown of an entire transportation line. Conclusions Using different ways to induce failures in the network, we observe that to leave all nodes completely disconnected, we would need to remove about half the network nodes, highlighting the robustness of the Lisbon public transport network. Comparing different failure scenarios, methods that rely on recalculating network metrics yield a higher impact on the network robustness assessment. The impact of different events is quantified, showing that failures in stations are generally more dangerous than in pathways and offering views on the consequences of deactivating particular network modules. Overall, the results of this study allow decision-makers to gain further understanding of the topological vulnerabilities of a transportation network.

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A Novel Method to Evaluation Node Importance in Multilayer Regional Rail Transit Network

Chen

et al. 2022

Lecture Notes in Electrical Engineering

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Properties of Chinese railway network: Multilayer structures based on timetable data

Cited by 25 publications

References 54 publications

Multilayer structures and resilience evaluation for multimode regional rail transit system

Multilayer structures and resilience evaluation for multimode regional rail transit system

Assessing robustness in multimodal transportation systems: a case study in Lisbon

A Novel Method to Evaluation Node Importance in Multilayer Regional Rail Transit Network

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