Author/Authors :
ŞİMŞEK, Burcu DARENDE Başkent Üniversitesi - Fen Edebiyat Fakültesi - İstatistik ve Bilgisayar Bilimleri Bölümü, Turkey , YENİAY, Özgür Hacettepe Üniversitesi - Fen Fakültesi - İstatistik Bölümü, Turkey
Title Of Article :
OPTIMIZATION OF LOCATING CASUALTY COLLECTION POINTS IN A POSSIBLE ISTANBUL EARTHQUAKE
شماره ركورد :
34080
Abstract :
In this study, the selection of the casualty collection points that can be accessible for the wounded residents who have been damaged from the possible İstanbul earthquake is aimed to find the most appropriate location. In the four scenarios of earthquakes which take place in the İstanbul earthquake disaster plan, the most possible scenario earthquake plan and the number of estimated wounded people are used in the study. The problem is modelled as a maximum coverage problem using the appropriate coverage distances (1, 2, 3 km) and solved with SITATION software. The each of casualty collection points are considered to be a facility to supply a health care for wounded people reached/transported this point, while the center of districts are accepted as demand points where wounded people demanding health care. The results of the analysis for each of the appropriate coverage distances are shown in tables composed of being covered and uncovered demand for seriously injured. According to these compared results, when the coverage distance increases, the percentage of covering demands increase which is expected. In addition to this, the center of districts are determined as demand points since the number of estimated wounded people are attainable only for districts in the study. In addition to the efficieny of the wounded collection points which ministry of health has offered for İstanbul has been assessed and advised.
From Page :
1
NaturalLanguageKeyword :
Maximal covering problems , Facility location problems , Casualty collection points.
JournalTitle :
Anadolu University Journal of Science and Technology. A : Applied Sciences and Engineering
To Page :
11
Link To Document :
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