Relief Facility Locations Using P-median Weight Minimax Model

Thailand’s eastern seaboard is the fastest growing area because of several export economic zones. However, this region historically encountered flood problems because of the Monsoon season and urbanization. To be proactive, the authority must plan to locate relief facilities in advance. Hence, we deployed the P-median weight Minmax model with historical population data in flood areas to decide the relief facility locations. We also investigated three contingency plans where 1) we determined relief facilities from our model, 2) we assigned the number of relief facilities according to the population, and 3) we investigated the contingency plan to determine alternative relief locations when some districts are not suitable. We tested our model with 2015, 2016, 2017, 2018, and 2019 data.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/ieem62345.2024.10857138
Citations
1
Primary Topic
Facility Location and Emergency Management
Type
article
Field-Weighted Citation Impact
0.67
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Relief Facility Locations Using P-median Weight Minimax Model

Wichitsawat Suksawat Na Ayudhya
1 citations
Facility Location and Emergency Management
0.67
article

Relief Facility Locations Using P-median Weight Minimax Model

Wichitsawat Suksawat Na Ayudhya
article en
1 citations

Abstract

Thailand’s eastern seaboard is the fastest growing area because of several export economic zones. However, this region historically encountered flood problems because of the Monsoon season and urbanization. To be proactive, the authority must plan to locate relief facilities in advance. Hence, we deployed the P-median weight Minmax model with historical population data in flood areas to decide the relief facility locations. We also investigated three contingency plans where 1) we determined relief facilities from our model, 2) we assigned the number of relief facilities according to the population, and 3) we investigated the contingency plan to determine alternative relief locations when some districts are not suitable. We tested our model with 2015, 2016, 2017, 2018, and 2019 data.

King Mongkut's Institute of Technology Ladkrabang (TH)
Climate action
Openalex Percentile: Top 19%
Facility Location and Emergency Management
0.67
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