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Disaster preparedness using risk-assessment methods from earthquake engineering

Disaster preparedness using risk-assessment methods from earthquake engineering
Disaster preparedness using risk-assessment methods from earthquake engineering
Analyzing the uncertainties associated with disaster occurrences is critical to make effective disaster preparedness plans. In this study, we focus on pre-positioning emergency supplies for earthquake preparedness. We present a new method to compute earthquake likelihood and the number of the affected people. Our approach utilizes forecasting methods from the earthquake engineering literature, and avoids using probabilistic scenarios to represent the uncertainties related to earthquake occurrences. We validate the proposed technique by using historical earthquake data from Turkey, a country under significant earthquake risk. We also present a case study that illustrates the implementation of our method to solve the inventory allocation problem of the Turkish Red Crescent.
0377-2217
Battarra, Maria
0498dc58-e9d5-4ad2-a141-040f7bcebbc2
Balcik, Burcu
e1fc408d-ecdd-47df-90d5-04163f2038bf
Xu, Huifu
d3200e0b-ad1d-4cf7-81aa-48f07fb1f8f5
Battarra, Maria
0498dc58-e9d5-4ad2-a141-040f7bcebbc2
Balcik, Burcu
e1fc408d-ecdd-47df-90d5-04163f2038bf
Xu, Huifu
d3200e0b-ad1d-4cf7-81aa-48f07fb1f8f5

Battarra, Maria, Balcik, Burcu and Xu, Huifu (2018) Disaster preparedness using risk-assessment methods from earthquake engineering. European Journal of Operational Research. (doi:10.1016/j.ejor.2018.02.014).

Record type: Article

Abstract

Analyzing the uncertainties associated with disaster occurrences is critical to make effective disaster preparedness plans. In this study, we focus on pre-positioning emergency supplies for earthquake preparedness. We present a new method to compute earthquake likelihood and the number of the affected people. Our approach utilizes forecasting methods from the earthquake engineering literature, and avoids using probabilistic scenarios to represent the uncertainties related to earthquake occurrences. We validate the proposed technique by using historical earthquake data from Turkey, a country under significant earthquake risk. We also present a case study that illustrates the implementation of our method to solve the inventory allocation problem of the Turkish Red Crescent.

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Huifu - Accepted Manuscript
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More information

Accepted/In Press date: 6 February 2018
e-pub ahead of print date: 16 February 2018

Identifiers

Local EPrints ID: 419928
URI: http://eprints.soton.ac.uk/id/eprint/419928
ISSN: 0377-2217
PURE UUID: 2f0df1ea-14f4-4a20-a908-6ed94f1f30ea
ORCID for Huifu Xu: ORCID iD orcid.org/0000-0001-8307-2920

Catalogue record

Date deposited: 23 Apr 2018 16:30
Last modified: 17 Dec 2019 01:49

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