Vulnerability and resilience of transport systems – A discussion of recent research

Mattsson, Lars-Göran; Jenelius, Erik

doi:10.1016/j.tra.2015.06.002

Cited by 473 publications

(377 citation statements)

References 123 publications

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“…In 2012, the Beijing "7.21" heavy rain caused direct economic losses of 11.64 billion yuan [2]. In addition, rail and public transport networks are generally more sensitive to disruptions than road networks [3], rail accidents not only cause traffic delays of the direct line(s), but also have a wider impact on passengers in other stations along the line(s) or even potential passengers, which generally generates larger social impact [4]. Therefore, a simulation model of different damage scenarios is proposed according to different hazards in BTHR, and the analysis of vulnerability of the whole planning rail transit network is important for identifying protection strategies.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, literature on vulnerability has emerged in the area of critical infrastructure networks [7][8][9][10][11]. However, the resilience and vulnerability in the transportation system are not easy to measure or quantify, and recent research on vulnerability evaluation has failed to draw clear conclusions [3]. Aura Reggiani, Peter Nijkamp and Diego Lanzi systematically combs the conceptual framework of traffic resilience and vulnerability, reviews the current research situation and classifies research methods into common methods and special methods (conclusions from realistic networks or case studies), according to whether they can be easily used in a variety of environments [9].…”

Section: Introductionmentioning

confidence: 99%

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Network Vulnerability Analysis of Rail Transit Plans in Beijng-Tianjin-Hebei Region Considering Connectivity Reliability

Liu

et al. 2017

Sustainability

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Abstract:In the context of the urban agglomeration and the rapid development of rail transit, the planning of the Beijing-Tianjin-Hebei Region (BTHR) rail transit 2020 is attracting attention. The BTHR is a natural disaster-prone area and a high-risk area for terrorist attacks; the robustness of the area is critical to the sustainable development of North China. Therefore, it is necessary to analyze the vulnerability of the regional planning rail transit network. This paper builds a model of planning regional rail transit in BTHR. A critical node recognition measure is designed according to the connectivity reliability of nodes. The method of Monte Carlo simulation of node connectivity reliability is applied based on link connectivity probability. In addition, a model of detecting multi-measure recognition and detecting Core-Nodes is proposed. Finally, the paper analyzes the impact of multiple attack modes on the network performance from the aspects of network performance within region and transit demand outside the region, and analyzes the vulnerability of the BTHR planning rail transit network.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Network Vulnerability Analysis of Rail Transit Plans in Beijng-Tianjin-Hebei Region Considering Connectivity Reliability

Liu

et al. 2017

Sustainability

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“…Leu et al [18] used a network analysis to measure the robustness considering physical features of the network. Mattsson and Jenelius [19] provide an overview of recent research on vulnerability and the resilience of transport systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Identifying Achilles-heel roads in real-sized networks

et al. 2017

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Ensuring a minimum operational level of road networks in the presence of unexpected incidents is becoming a hot subject in academic circles as well as industry. To this end, it is important to understand the degree to which each single element of the network contributes to the operation and performance of a network. In other words, a road can become an ''Achilles-heel'' for the entire network if it is closed due to a simple incident. Such insight of the detrimental loss of the closure of the roads would help us to be more vigilant and prepared. In this study, we develop an index dubbed as Achilles-heel index to quantify detrimental loss of the closure of the respective roads. More precisely, the Achilles-heel index indicates how many drivers are affected by the closure of the respective roads (the number of affected drivers is also called travel demand coverage). To this end, roads with maximum travel demand coverage are sorted as the most critical ones, for which a method-known as ''link analysis''-is adopted. In an iterative process, first, a road with highest traffic volume is first labeled as ''target link,'' and second, a portion of travel demand which is captured by the target link is excluded from travel demand. For the next iteration, the trimmed travel demand is then assigned to the network where all links including the target links run on the initial travel times. The process carries on until all links are labeled. The proposed methodology is applied to a largesized network of Winnipeg, Canada. The results shed light on also bottleneck points of the network which may warrant provision of additional capacity or parallel roads.

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“…There is thus a pressing need to assess network vulnerability, that is to understand how a street network and its functionality might be impacted when subjected to disruptions [14,15,16]. Vulnerability measures based on distance are more suitable for sparse regional networks since drivers may need to take longer detours to reach their destinations in case of link disruption [17].…”

Section: Transportation Systems Overall Conceptmentioning

confidence: 99%

“…Further approaches have been conducted by using traffic assignment technique that allows to simulate how Origin-Destination (OD) travel demand loads the links of a network when road closures occur [15,16,23].…”

Section: Transportation Systems Overall Conceptmentioning

confidence: 99%

Physical Simulators of Critical Infrastructures

Pietro¹,

Liberto²,

Flourentzou

et al. 2016

Managing the Complexity of Critical Infrastructures

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Critical Infrastructures are an essential asset in modern societies and our everyday life is heavily dependent on their reliable and secure operation. The problem of controlling and managing critical infrastructures is becoming more and more difficult as they are increasing in size due to the growing demand for the services they provide and the geographical spread required. As these infrastructures become larger and more complex, fewer people understand how these networks work and the interactions between all the components. Thus, models are necessary so as to accurately predict their behavior under steady state or under failure/attack scenarios. This chapter provides a review on modeling and simulation approaches of critical infrastructures and in particular of electric power, telecommunications, water supply and drainage systems, and transportation systems.

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Vulnerability and resilience of transport systems – A discussion of recent research

Cited by 473 publications

References 123 publications

Network Vulnerability Analysis of Rail Transit Plans in Beijng-Tianjin-Hebei Region Considering Connectivity Reliability

Network Vulnerability Analysis of Rail Transit Plans in Beijng-Tianjin-Hebei Region Considering Connectivity Reliability

Identifying Achilles-heel roads in real-sized networks

Physical Simulators of Critical Infrastructures

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