Modeling network resilience of rail transit under operational incidents

Lu, Qing-Chang

doi:10.1016/j.tra.2018.08.015

Cited by 83 publications

(57 citation statements)

References 21 publications

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“…Accessibility is also proven to be an important measure for transportation network vulnerability analysis [7,14,17] and mostly developed for applications on road network. The accessibility of the public transport network has recently attracted a lot of attention and has become an important interest in research [24,29]. We propose a transit accessibility method for measuring the vulnerability of rail transit network under disruptions.…”

Section: Methodsmentioning

confidence: 99%

“…This approach of vulnerability analysis would be important for the planning and design of the urban rail transit network. However, under disruptions, the vulnerability of the urban rail transit network might go beyond the issue of pure network topology and become a problem of a combination of network topology and passenger flow, especially considering the large number of passengers served [24]. As a result, another approach direction in urban transit network vulnerability analysis has been shaped recently, sharing a similar concept to the above road network vulnerability method.…”

Section: Introductionmentioning

confidence: 99%

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Vulnerability Analysis of Urban Rail Transit Network within Multi-Modal Public Transport Networks

Lin

2019

Sustainability

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In terms of urban rail transit network vulnerability, most studies have focused on the network topology characteristics and travel cost changes after network incidents and analyzed rail transit network independently. The neglects of passenger flow distributions on the network and alternative public transport modes under rail network disruptions would either underestimate or overestimate the vulnerability of rail transit network, and thus lead to inaccurate results and decisions. This study presents an accessibility-based measurement for urban rail transit network vulnerability analysis and explicitly accounts for rail passenger flow characteristics, travel cost changes, and alternative transit modes. It is shown that the proposed approach is capable of measuring the consequences on rail network, and the advantages of the accessibility method are demonstrated and compared. The methodology is applied to the urban rail transit network of Shenzhen, China within a multi-modal public transport network. Results reveal that the consequences of disruptions on network accessibility are obviously different for stations with different passenger flow characteristics, and some undisrupted stations are found to be vulnerable under surrounding station failures. The proposed methodology offers reliable measurements on rail transit network vulnerability and implications for decision-making under rail network disruptions.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Vulnerability Analysis of Urban Rail Transit Network within Multi-Modal Public Transport Networks

Lin

2019

Sustainability

Self Cite

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“…Another study used the Singapore public transit system as an example, finding that the resilience of the metro system could be enhanced by leveraging bus services [33]. The network resilience of URT systems, with respect to impacts on travel time, is measured under operational incidents [34]. To promote the sustainability of public transport systems, the high-risk nodes are identified in a station of URT system on a micro level [35].…”

Section: Sustainable Development Of Public Transport Systemmentioning

confidence: 99%

Sustainable Development of Urban Rail Transit Networks: A Vulnerability Perspective

et al. 2019

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Urban rail transit (URT) systems are critical to modern public transportation services. Unfortunately, disruptions in URT systems can lead to dysfunction and threaten sustainable development. This study analyses URT network sustainability from a vulnerability perspective. Two network attack scenarios, including random attacks and intentional attacks, are designed to assess different kinds of disruptions to URT networks. Under random attacks, nodes are randomly removed from the network. In contrast, under intentional attacks, key nodes are identified and removed based on topological metrics and passenger flow volume. Then, URT network vulnerability is evaluated by quantifying the changes in network efficiency and structural integrity under the network attacks from a spatio-temporal point of view. The real-world case of the Shanghai URT system from 1993 to 2020 is used to illustrate the vulnerability in the evolution of the URT system. The results indicate that the URT network is increasingly fault-tolerant and structurally robust over time. The URT network is more vulnerable to intentional attacks than to random failures. Additionally, there are significant spatial differences in the vulnerability of Shanghai URT network. Stations in the central activity zone (CAZ) are more fault-tolerant and robust than stations located outside of the CAZ. Furthermore, stations with large centrality and greater passenger flow volumes and lines with many key nodes and greater passenger flow volumes, are vulnerable to disruptions in the URT networks. This study provides a new index to comprehensively quantify node centrality; it also fills a research gap by analysing the vulnerability of URT networks based on both longitudinal and spatial patterns. Finally, this paper highlights significant practical implications for the sustainable development of URT networks, as well as the sustainable development of public transportation services.

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“…When Si is disturbed by internal or external factors or attacks, it will cause other parts or subsystems to collapse, which may cause the entire network to collapse. The definition of vulnerability includes the role of internal factors in the system, and the vulnerability of the system to the external environment [21].…”

Section: Definition Of Water Transportation Vulnerabilitymentioning

confidence: 99%

Identification and Analysis of Vulnerability in Traffic-Intensive Areas of Water Transportation Systems

Chen

Liu

Wan³

et al. 2019

JMSE

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Water transportation accidents have occurred frequently in recent years. In order to improve the emergency response capability of water transportation systems under traffic-intensive conditions, this paper identifies and analyzes the vulnerability in traffic-intensive areas of water transportation systems. Firstly, the vulnerability identification model was constructed based on the analysis of characteristics and the vulnerability-influencing factors of water transportation systems. The newly proposed model is composed of three parts including the DEMATEL (Decision Making Trial and Evaluation Laboratory) method, ISM (interpretative structural modeling) model, and AHP (Analytic Hierarchy Process)–entropy weight method. Finally, a case study of the Yangtze River was conducted to test the logicality and feasibility of the proposed model. The research results reveal that traffic flow density, ship traffic, tides, fog, and bad weather are the key factors affecting the vulnerability of water transportation in traffic-intensive areas of the Yangtze River estuary. However, the influence of navigation aid configuration, berth, anchorage, and obstruction on the system vulnerability is relatively lower. The findings of this study can provide helpful references for maritime administration authorities on the management of water transportation safety.

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Modeling network resilience of rail transit under operational incidents

Cited by 83 publications

References 21 publications

Vulnerability Analysis of Urban Rail Transit Network within Multi-Modal Public Transport Networks

Vulnerability Analysis of Urban Rail Transit Network within Multi-Modal Public Transport Networks

Sustainable Development of Urban Rail Transit Networks: A Vulnerability Perspective

Identification and Analysis of Vulnerability in Traffic-Intensive Areas of Water Transportation Systems

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