Vulnerability analysis of complementary transportation systems with applications to railway and airline systems in China

Ouyang, Min; Pan, Zhezhe; Liu, Hong; He, Yue

doi:10.1016/j.ress.2015.05.013

Cited by 76 publications

(37 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition, infrastructure systems are usually characterized by different performance metrics, even for the same type of infrastructure system . This article takes the Chinese railway system as an example for illustrative purposes, and this section will briefly introduce a performance metric and two performance models for railway systems, which have been studied in the authors’ previous work …”

Section: Spatially Localized Failures and Their Induced Vulnerabilitymentioning

confidence: 99%

“…The second type is infrastructure vulnerability analysis under intentional attacks. These attacks usually cause the failures of important components that are determined according to component degree, betweenness, load levels, or are identified by using optimization techniques to search a set of components whose failures can cause the largest system‐level vulnerability . In addition to these studies on intentional attacks, which still do not consider component geographical locations, there also exist some other types of intentional attack, such as bomb or explosive assault, which only cause the failures of infrastructure components within a localized area.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Critical Infrastructure Vulnerability to Spatially Localized Failures with Applications to Chinese Railway System

et al. 2017

Self Cite

View full text Add to dashboard Cite

This article studies a general type of initiating events in critical infrastructures, called spatially localized failures (SLFs), which are defined as the failure of a set of infrastructure components distributed in a spatially localized area due to damage sustained, while other components outside the area do not directly fail. These failures can be regarded as a special type of intentional attack, such as bomb or explosive assault, or a generalized modeling of the impact of localized natural hazards on large-scale systems. This article introduces three SLFs models: node centered SLFs, district-based SLFs, and circle-shaped SLFs, and proposes a SLFs-induced vulnerability analysis method from three aspects: identification of critical locations, comparisons of infrastructure vulnerability to random failures, topologically localized failures and SLFs, and quantification of infrastructure information value. The proposed SLFs-induced vulnerability analysis method is finally applied to the Chinese railway system and can be also easily adapted to analyze other critical infrastructures for valuable protection suggestions.

show abstract

Section: Spatially Localized Failures and Their Induced Vulnerabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Critical Infrastructure Vulnerability to Spatially Localized Failures with Applications to Chinese Railway System

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…Teoria grafów bardzo często wykorzystywana jest do analizy różnego rodzaju sieci, głównie społecznych 5 , ale również sieci neuronowych 6 , sieci biologicznych 7 oraz sieci komputero- 7 Rual J.-F., Venkatesan K., Hao T., Hirozane-Kishikawa T., Dricot A., Li N., Berriz G.F., Gibbons F.D., Dreze M., Ayivi-Guedehoussou N., Klitgord N., Simon C., Boxem M., Milstein S., Rosenberg J., Goldberg D.S., Zhang L.V., Wong S.L., Franklin G., Li S., Albala J.S., Lim J., Fraughton C., Llamosas E., Cevik S., Bex C., Lamesch P., Sikorski R.S., Vandenhaute J., Zoghbi H.Y., Smolyar A., Bosak S., Sequerra R., Doucette-Stamm L. ta, połączona z analizą przestrzenną sieci, umożliwia również wyciągnięcie wstępnych wniosków o odporności sieci na zakłócenia lub zagrożenia. Uzyskane z analizy informacje o typie sieci czy też o roli poszczególnych węzłów w sieci pozwalają wstępnie oszacować, które z punktów są szczególnie wrażliwe na potencjalne zagrożenia lub ataki 11 .…”

Section: Metodologia Przeprowadzonych Badańunclassified

Structural Analysis of Koleje Mazowieckie Transport Network

Sobczak¹

2017

SPSUTOM

View full text Add to dashboard Cite

Streszczenie. Transport publiczny w obrębie aglomeracji oraz terenów do niej przylegających stanowi jeden z najistotniejszych elementów zrównoważonego transportu. Bardzo istotne jest prawidłowe zorganizowanie oraz zaplanowanie sprawnej i odpornej na zakłócenia sieci transportowej. W artykule dokonano analizy strukturalnej -z wykorzystaniem teorii grafów -sieci kolejowej Kolei Mazowieckich, celem oceny jej struktury pod kątem organizacyjnym i funkcjonalnym. Sieć ta wykorzystywana jest m.in. do współrealizacji transportu zbiorowego w obrębie aglomeracji warszawskiej oraz okolicznych terenów.Słowa kluczowe: transport zbiorowy, transport kolejowy, sieci transportowe STRUCTURAL ANALYSIS OF KOLEJE MAZOWIECKIE TRANSPORT NETWORKAbstract. Public transport within the urban areas and areas adjacent to it is one of the most important elements of sustainable transportation. Accordingly, it is essential to properly organizing and planning efficient and noise-robust system transport (transport network). The article presents structural analysis with the use of graph theory for the Koleje Mazowieckie railway network to assess its structure in terms of organizational and functional. The network is used, among others, to co-realization of public transport within the Warsaw agglomeration and the surrounding areas.

show abstract

“…In the literature, scholars have studied CIS vulnerability under different types of disruptive events, including (1) random failures, which are modeled by randomly selecting a certain fraction of system components to make them fail (Motter and Lai, ; Crucitti et al., ; Albert et al., ; Yazdani and Jeffrey, ; Dobson et al., ; Ouyang and Dueñas‐Osorio, ; Carreras et al., ; Dobson et al., ; Ren and Dobson, ; Ouyang et al., ; Newman, ; Hong et al., ); (2) natural hazards, whose scenarios are simulated by hazard generation models (FEMA, ) and their impacts on system components are described by fragility curves (Dueñas‐Osorio et al., ; Adachi and Ellingwood, ; Esposito et al., ; Franchin and Cavalieri, ; Cavallaro et al., ; FEMA, ; Ouyang and Dueñas‐Osorio, ); (3) malicious attacks, which are simulated by removing important components (Hines et al., ; Holmgren, ; Rosas‐Casals et al., ; Holme et al., ; Bompard et al., ; Mishkovski et al., ; Zio et al., ; Alderson et al., ; Ouyang et al., ; Wang et al., ; Afshari Rad and Kakhki, ; Hasani and Khosrojerdi, ; Newell, ; Bogloee et al. ); and (4) some combinations of the above events (Levitin and Hausken, ; Levitin, ; Miller‐Hooks et al., ).…”

Section: Introductionmentioning

confidence: 99%

Vulnerability Mitigation of Multiple Spatially Localized Attacks on Critical Infrastructure Systems

Ouyang

Tao

Huang

et al. 2018

Computer aided Civil Eng

Self Cite

View full text Add to dashboard Cite

Recently, many studies have analyzed critical infrastructure vulnerability under spatially localized attack (SLA), which is modeled as the failure of a set of infrastructure components, distributed in a spatially localized area, due to malicious attacks, while other components outside of the area do not directly fail. However, existing studies have only considered one single attack area, and multiple SLAs (MSLAs) with more than one attack area have been seldom investigated. This article addresses this issue and studies vulnerability mitigation of critical infrastructure systems (CISs) against the worst‐case MSLAs. The problem is mathematically formulated as a tri‐level defender‐attacker‐defender model, the exact solution of which is solved by a proposed decomposition algorithm. Case studies on the adapted IEEE 24 bus system and the power transmission systems in Shelby County and Harris County, U.S., indicate that (1) system vulnerability under 2*M localized attack areas might be much larger than two times of the vulnerability under M localized attack areas; (2) small preevent defense investment might mitigate the worst‐case vulnerability by more than 40%; and (3) MSLAs might cause larger vulnerability than nonproximity‐based malicious attacks.

show abstract

Vulnerability analysis of complementary transportation systems with applications to railway and airline systems in China

Cited by 76 publications

References 44 publications

Critical Infrastructure Vulnerability to Spatially Localized Failures with Applications to Chinese Railway System

Critical Infrastructure Vulnerability to Spatially Localized Failures with Applications to Chinese Railway System

Structural Analysis of Koleje Mazowieckie Transport Network

Vulnerability Mitigation of Multiple Spatially Localized Attacks on Critical Infrastructure Systems

Contact Info

Product

Resources

About