TY - JOUR
T1 - Disaster preparedness using risk-assessment methods from earthquake engineering
AU - Battarra, Maria
AU - Balcik, Burcu
AU - Xu, Huifu
N1 - https://authors.elsevier.com/tracking/article/details.do?aid=14974&jid=EOR&surname=Battarra
Email from guest editor:
Ref.: Ms. No. EJOR-D-16-02869R3
Disaster preparedness using risk-assessment methods from earthquake engineering
European Journal of Operational Research
Dear Dr. Maria Battarra,
I am pleased to inform you that your paper has been accepted for publication in the European Journal of Operational Research.
The PDF file of the final version of your article will be available on ScienceDirect shortly after the corrections to the proofs have been received by Elsevier. I suggest that you read them carefully and check them once more against the original; you are the only one responsible for doing this. Together with the proofs you will receive an order form for reprints.
Your paper from now on is no longer under my control. Please, address queries only to the Journal Manager:
Caroline Muttram
E-Mail: C.Muttram@elsevier.com
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Please note that Articles in Press are not usually included in the Scopus database, although all papers will be included once they have been published in an issue.
Yours sincerely,
Luk Noel Van Wassenhove, PhD
Special Issue Managing Guest Editor
European Journal of Operational Research
PY - 2018/9/1
Y1 - 2018/9/1
N2 - 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.
AB - 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.
KW - Disaster preparedness
KW - Earthquake forecasting
KW - Inventory allocation
KW - OR in disaster relief
UR - http://www.scopus.com/inward/record.url?scp=85043491838&partnerID=8YFLogxK
U2 - 10.1016/j.ejor.2018.02.014
DO - 10.1016/j.ejor.2018.02.014
M3 - Article
SN - 0377-2217
VL - 269
SP - 423
EP - 435
JO - European Journal of Operational Research
JF - European Journal of Operational Research
IS - 2
ER -
