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Arbon, P, Steenkamp, M, Cornell, V, Cusack, L and Gebbie, K (2016) Measuring disaster resilience in communities and households: Pragmatic tools developed in Australia. International Journal of Disaster Resilience in the Built Environment, 7(02), 201-15.
Haraguchi, M and Kim, S (2016) Critical infrastructure interdependence in New York City during Hurricane Sandy. International Journal of Disaster Resilience in the Built Environment, 7(02), 133-43.
- Type: Journal Article
- Keywords: disaster; critical infrastructures; risk analysis; interdependence; direct and indirect damages
- ISBN/ISSN:
- URL: https://doi.org/10.1108/IJDRBE-03-2015-0015
- Abstract:
Purpose This study aims to investigate the impact of Hurricane Sandy from the perspective of interdependence among different sectors of critical infrastructure in New York City and to assess the interconnected nature of risks posed by such a hurricane. Design/methodology/approach This study uses indirect damages of each sector to estimate the degree of functional interdependence among the sectors. The study examines the impact of the hurricane on different critical infrastructures by combining hazard maps of actual inundation areas with maps of critical infrastructure. The direct damages of each sector are calculated from the inundation areas in the flood map. The indirect damages are estimated by considering the areas that were not inundated but affected by Sandy through the interconnected infrastructure. Findings The electricity sector was the key sector to propagate risks to other sectors. The examination of new initiatives to increase the resilience of critical infrastructures in New York City after Sandy reveals that these initiatives focus primarily on building hard infrastructures to decrease direct damages. They understate the importance of interdependent risk across sectors. Future disaster risk reduction strategies must address interdependent infrastructures to reduce indirect damages. Originality/value This paper focuses on estimating the direct and indirect damages caused by Hurricane Sandy in each critical infrastructure sector, using GIS mapping techniques. It also introduces a Bayesian network as a tool to analyze critical infrastructure interdependence.
King, D, Gurtner, Y, Firdaus, A, Harwood, S and Cottrell, A (2016) Land use planning for disaster risk reduction and climate change adaptation: Operationalizing policy and legislation at local levels. International Journal of Disaster Resilience in the Built Environment, 7(02), 158-72.
Komendantova, N, Scolobig, A, Garcia-Aristizabal, A, Monfort, D and Fleming, K (2016) Multi-risk approach and urban resilience. International Journal of Disaster Resilience in the Built Environment, 7(02), 114-32.
McGee, S, Frittman, J, Ahn, S J and Murray, S (2016) Implications of cascading effects for the Hyogo Framework. International Journal of Disaster Resilience in the Built Environment, 7(02), 144-57.
Murnane, R, Simpson, A and Jongman, B (2016) Understanding risk: what makes a risk assessment successful?. International Journal of Disaster Resilience in the Built Environment, 7(02), 186-200.
Schipper, E L F, Thomalla, F, Vulturius, G, Davis, M and Johnson, K (2016) Linking disaster risk reduction, climate change and development. International Journal of Disaster Resilience in the Built Environment, 7(02), 216-28.
Wamsler, C and Brink, E (2016) The urban domino effect: a conceptualization of cities’ interconnectedness of risk. International Journal of Disaster Resilience in the Built Environment, 7(02), 80-113.
Wilkinson, S, Chang-Richards, A Y, Sapeciay, Z and Costello, S B (2016) Improving construction sector resilience. International Journal of Disaster Resilience in the Built Environment, 7(02), 173-85.