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Optimization for flood evacuation shelter location-allocation problems with different priority level constraints

Boonyarit Boromrit, Thitipong Jamrus

2023 · Engineering and Applied Science Research, 50(3), 226–232 · Modelling study

Full-text sections checked

Publisher PDF, 7 pages: §2 model pp. 228–230, §3/Tables 4–5 pp. 230–231, §4–5 pp. 231–232

Checked 16 October 2026 · Thai flood-shelter allocation context; generated data informed by a pilot study

Thai/English summaries are project paraphrases, not official translations or endorsement of the original study.

Research question

How can shelter allocation account for evacuee priorities and facility capabilities?

Method and context

Mixed-integer optimization compared with a nearest-neighbor algorithm across generated problem sizes, with capacity and priority constraints.

Study summary

Minimizes shelter-opening, transport and staffing costs while matching needs to facility capability.

Findings

The heuristic ran faster but sometimes cost more; the optimizer failed to resolve the 165-node case.

Contribution

Makes speed, cost and needs constraints explicit for planning appraisal.

Interpretation limits

Authors propose adding routing and time constraints; our appraisal: generated-data results do not establish field effectiveness.

Connect evidence to KSEC / OBE

Project-proposed critical-appraisal evidence, not research findings or accreditation criteria from the original authors.

K
Explain the question, concepts and findings with locators in the original.
S
Compare methods, variables and limitations with another study before designing a test or CPX.
E
Separate reported results from your proposals, cite originals and examine implications for vulnerable groups.
C
Record responses to critique and revisions after new evidence. Observe behaviour repeatedly, not from a single reading.

Related learning modules

Related knowledge domains

Original-study citation

Boonyarit Boromrit; Thitipong Jamrus (2023). Optimization for flood evacuation shelter location-allocation problems with different priority level constraints. Engineering and Applied Science Research, 50(3), 226–232. https://doi.org/10.14456/easr.2023.25

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