A Multi-Objective Multi-Period Mathematical Model for the Location Problem of Temporary Emergency Treatment Facilities: A Case Study from Bakirkoy, Istanbul

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Aydın N., Çetinkale Z.

International Congress of Engineering and Natural Sciences Studies, Ankara, Turkey, 7 - 09 May 2021, pp.62

  • Publication Type: Conference Paper / Summary Text
  • City: Ankara
  • Country: Turkey
  • Page Numbers: pp.62
  • Yıldız Technical University Affiliated: Yes


Izmir (2020) and Elazig (2020) earthquakes, where 118 and 41 deaths and thousands of

affected people were recorded in Turkey, have been important reminders for the expected earthquake

in Istanbul, Turkey. In Marmara Earthquake (1999), one of the most devastating disasters recorded in

the last century in Turkey, the intensive influx of casualties was a significant problem encountered at

healthcare facilities. After a large-scale disaster, the sudden increase in demand at healthcare facilities

can lead to increase in the number of losses. In this study, we suggest opening temporary emergency

treatment facilities in order to enhance the rapidness and effectiveness of emergency response

operations for the first 72 hours aftermath of a disaster. Furthermore, the utilization of existing

hospitals and the impact of injury level of victims on the service capacity are investigated in the

presented model. A multi-objective, multi-period, mix-integer mathematical model is developed to

minimize the total distance travelled by casualties and the cost of opening temporary emergency

facilities. We conducted a real-case study for a district in Istanbul, Bakirkoy to demonstrate how the

proposed model can be applied in practice. By weighted-sum method, results provide various choices

related to the number and location of temporary emergency units by considering trade-off between

two conflicting objective functions. This work was supported by Yildiz Technical University Scientific

Research Projects Coordination Unit. Project Number: FBA-2020-3942.

Keywords: Humanitarian Logistics, Facility Location and Allocation Model, Optimization