Assessing the Emergency Assembly Areas Using Maximum Coverage Location Analysis: A Case of Gaziantep University

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Tarih

2022

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Springer Science and Business Media Deutschland GmbH

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Emergency assembly areas (EAAs) are safe areas where the people can gather away from the dangerous area in order to prevent the panic that will take place until the temporary shelter centers are ready after disasters and emergencies. Determination of a suitable site for an EAA is crucial to decrease the negative impacts of disasters. There are a few criteria to be considered while finding a place for an EAA, e.g. assembly points should be located at a safe distance away from the danger (building, fire), they must be easily accessible, and finally they must be big enough to accommodate all potential victims. To solve this problem scientifically, the aforementioned conditions should be modeled as a maximum coverage location (MCL) problem. In this paper, the EAAs in Gaziantep University campus are discussed and evaluated. To do so, the 32 current points are considered as source nodes, and 65 buildings are considered as demand nodes. The covered population who are evacuated from buildings is maximized under different travel distance limits. An integer programming formulation is applied to evaluate the current EAAs and the suitability of existing signs is discussed. As a result, it has been determined that eight current EAAs are not suitable. According to another result, everyone can reach the remaining 24 EAAs within 196 m. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Açıklama

7th International Scientific-Technical Conference, MANUFACTURING 2022 -- 16 May 2022 through 19 May 2022 -- Poznan -- 275819

Anahtar Kelimeler

Emergency assembly area, Evacuation, Integer programming, Location analysis, Maximum coverage location

Kaynak

Lecture Notes in Mechanical Engineering

WoS Q Değeri

Scopus Q Değeri

Q4

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Künye