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Modelling the marine transport resilience of Vancouver Island in a Cascadia subduction zone earthquake scenario
Anika M. Bell,David N. Bristow +1 more
- pp 1-18
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In this article, the dependence of coastal communities on marine transportation can challenge a region's capability to withstand large disruptions, especially in regions susceptible to large natural hazards, such as hurricanes and floods.Abstract:
The dependence of coastal communities on marine transportation can challenge a region’s capability to withstand large disruptions, especially in regions susceptible to large natural hazards. Here, ...read more
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Datasets of disrupted transportation networks on Canada's West Coast in a plausible M9.0 Cascadia Subduction Zone earthquake scenario
Luana Souza Almeida,Lauryne Rodrigues,Floris Goerlandt,Jose Ancona-Segovia,Ronald Pelot,David N. Bristow,Stephanie E. Chang +6 more
TL;DR: In this article , the authors present a database with geographical and demographic information characterizing the impacts to road and maritime networks, and coastal communities, of a plausible magnitude M9.0 megathrust Cascadia Subduction Zone earthquake scenario near Vancouver Island in British Columbia, Canada.
Journal ArticleDOI
Assessment of port resilience using Bayesian network: A study of strategies to enhance readiness and response capacities
TL;DR: Wang et al. as discussed by the authors developed measures to enhance port resilience that can cope with risks and uncertainties, and proposed a port resilience assessment model using the Bayesian network, in which various resilience strategies are categorized into different metrics to assess resilience capabilities (i.e. readiness and response capacities).
Journal ArticleDOI
A Community Impact Scale for Regional Disaster Planning with Transportation Disruption
Stephanie E. Chang,Alexa Tanner +1 more
TL;DR: In this article , a simple analytical scheme and associated qualitative impact scales that capture the spatially varying effects of a regional disaster is proposed, which can be implemented with widely varying degrees of data availability, as demonstrated in two case applications.
Journal ArticleDOI
Developing a "Disaster Scenario" to prepare for the possibility of disruptions to maritime transportation serving coastal communities of Vancouver Island
TL;DR: In this paper , a catastrophe scenario for the Fraser River is developed on the British Columbian island of Vancouver, and the main outcomes of the scenario is the destruction of the Sand Heads Lighthouse and the buoys from the outer delta.
References
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Patients’ Responsibilities in Medical Ethics
TL;DR: It is argued that certain duties of patients counterbalance an otherwise unfair captivity of doctors as helpers and that vulnerability does not exclude obligation.
Journal Article
Measuring post-disaster transportation system performance : The 1995 Kobe earthquake in comparative perspective
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Measuring post-disaster transportation system performance: the 1995 Kobe earthquake in comparative perspective
TL;DR: In this paper, the authors developed post-disaster system performance measures and applied them to the urban rail and highway transportation systems in the Kobe, Japan, region devastated by the 1995 Hyogoken-Nanbu earthquake.
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Resilience analysis: a mathematical formulation to model resilience of engineering systems
TL;DR: A stochastic formulation is proposed that models the impact of recovery activities and potential disrupting shocks, which could happen during the recovery, on the system state of a reinforced concrete bridge repaired with fiber-reinforced polymer.
Journal ArticleDOI
Modeling the resilience of critical infrastructure: the role of network dependencies
Roberto Guidotti,Roberto Guidotti,Hana T. Chmielewski,Hana T. Chmielewski,Vipin U. Unnikrishnan,Paolo Gardoni,Paolo Gardoni,Therese P. McAllister,Therese P. McAllister,John W. van de Lindt +9 more
TL;DR: A unified theoretical methodology for the modeling of dependent/interdependent infrastructure networks and incorporates it in a six-step probabilistic procedure to assess their resilience and shows the importance of capturing the dependency between networks in modeling the resilience of critical infrastructure.