Enhancing metro network resilience via localized integration with bus services

Jin, Jian Gang; Tang, Loon Ching; Sun, Lijun; Lee, Der-Horng

doi:10.1016/j.tre.2014.01.002

Cited by 249 publications

(130 citation statements)

References 11 publications

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“…Over the last 15 years, significant progress has been made in supplementing the quantification of reliability and robustness within large-scale transportation systems, and network analysis has emerged as the tool of choice [15][16][17][18][19][20]. Previous work on network analysis of metro systems has enabled quantification of topological properties and their implications for network resilience.…”

Section: Introductionmentioning

confidence: 99%

A network-based framework for assessing infrastructure resilience: a case study of the London metro system

Chopra

Dillon

Bilec

et al. 2016

J. R. Soc. Interface.

128

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Modern society is increasingly dependent on the stability of a complex system of interdependent infrastructure sectors. It is imperative to build resilience of large-scale infrastructures like metro systems for addressing the threat of natural disasters and man-made attacks in urban areas. Analysis is needed to ensure that these systems are capable of withstanding and containing unexpected perturbations, and develop heuristic strategies for guiding the design of more resilient networks in the future. We present a comprehensive, multi-pronged framework that analyses information on network topology, spatial organization and passenger flow to understand the resilience of the London metro system. Topology of the London metro system is not fault tolerant in terms of maintaining connectivity at the periphery of the network since it does not exhibit small-world properties. The passenger strength distribution follows a power law, suggesting that while the London metro system is robust to random failures, it is vulnerable to disruptions on a few critical stations. The analysis further identifies particular sources of structural and functional vulnerabilities that need to be mitigated for improving the resilience of the London metro network. The insights from our framework provide useful strategies to build resilience for both existing and upcoming metro systems.

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Section: Introductionmentioning

confidence: 99%

A network-based framework for assessing infrastructure resilience: a case study of the London metro system

Chopra

Dillon

Bilec

et al. 2016

J. R. Soc. Interface.

128

View full text Add to dashboard Cite

show abstract

“…Traffic evacuation can be divided into car evacuation [1][2][3] and bus evacuation [4][5][6][7][8][9]. Passengers are mainly evacuated by buses in emergent events of URT; therefore, we focus on bus evacuation in our study.…”

Section: Researches Of Traffic Management When Emergencymentioning

confidence: 99%

“…Darmanin et al [5] propose disruption recovery strategies for the specific case of the existing bus routes of the Melbourne metro system. Jin et al [6] introduce a localized rail-bus integration approach aimed at enhancing the urban transit rail networks resilience to disruptions. Jin et al [7] present an optimization-based approach that responds to disruptions of urban transit rail networks by introducing smartly designed bus bridging services.…”

Section: Researches Of Traffic Management When Emergencymentioning

confidence: 99%

Traffic Management Plan Evaluation Outside the Station in Emergent Events of Urban Rail Transit

Teng

Liu

et al. 2016

Urban Rail Transit

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Emergent events of urban rail transit may cause train delay, even service disruption, and then lead to a large number of passengers stranded. Urban rail transit system is difficult to maintain normal operation, so passengers shall be transported through other traffic modes outside the station. Traffic management plan outside the station is analyzed and evaluated in advance, which can increase evacuation efficiency and reduce the influence of events on society. The plan is evaluated through analyzing and simulation. Firstly, this paper analyzes the influence of events on traffic outside the station and introduces common means of traffic management. Then, this paper studies integrated simulation method and chooses key evaluation indicators, thus use the order of preference by similarity to ideal solution to evaluate the traffic management plan based on simulation. Finally, taking Jiangsu Road station as an example, this paper evaluates the effectiveness of different plans by simulation, the evaluation results show that plan 2 (partial priority) is optimal, which provides a reference for urban rail transit emergency management.

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“…They proposed an integrated optimisation method for the timetable as well as the rolling stock, taking into account passengers' behavioural change during disruptions. Jin et al (2014) performed network disruption analysis for public transport networks. Jin et al's model was developed based on concepts from freight networks (Chen and Miller-Hooks, 2012;Miller-Hooks et al, 2012), where an indicator of network resilience is defined as the ability of an intermodal freight transport network to recover from natural or human-caused disruptions.…”

Section: Reliability Sustainability Recoverymentioning

confidence: 99%

‘Resilience thinking’ in transport planning

Wang

2015

Civil Engineering and Environmental Systems

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Resilience has been discussed in ecology for over forty years. While some aspects of resilience have received attention in transport planning, there is no unified definition of resilience in transportation. To define resilience in transportation, I trace back to the origin of resilience in ecology with a view of revealing the essence of resilience thinking and its relevance to transport planning. Based on the fundamental concepts of engineering resilience and ecological resilience, I define "comprehensive resilience in transportation" as the quality that leads to recovery, reliability and sustainability. Observing that previous work in resilience analysis in transportation has focussed on addressing engineering resilience rather than ecological resilience, I conclude that transformability has been generally overlooked and needs to be incorporated in the analysis framework for comprehensive resilience in transportation.

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Enhancing metro network resilience via localized integration with bus services

Cited by 249 publications

References 11 publications

A network-based framework for assessing infrastructure resilience: a case study of the London metro system

A network-based framework for assessing infrastructure resilience: a case study of the London metro system

Traffic Management Plan Evaluation Outside the Station in Emergent Events of Urban Rail Transit

‘Resilience thinking’ in transport planning

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