Articles
DOI DOI: 10.62441/actainnovations.v63i.1086

IDENTIFICATION OF RELEVANT SELECTION CRITERIA FOR HYDROMETEOROLOGICAL DISASTER LOGISTICS HUB LOCATIONS IN WEST JAVA BASED ON MULTI-ACTOR PREFERENCES

Abstract

This research addresses the need for relevant selection criteria to determine hydrometeorological disaster logistics hub locations in West Java Province, where disaster frequency is high and logistics distribution planning remains largely reactive and unsystematic. The study aims to identify and validate location selection criteria based on multi-actor preferences within a pre-disaster mitigation framework. Evaluation criteria were identified through a literature review, policy analysis, and stakeholder consultation, followed by criteria weighting based on multi-actor preferences. The study assumes reliable data availability, relative stability of stakeholder preferences, rational decision-making, and feasible logistics infrastructure development. The analysis identified six main criteria and 21 sub-criteria. Policy support received the highest weight (0.21), followed by accessibility (0.20) and affected population (0.18), while disaster vulnerability received the lowest weight (0.10). The pairwise comparison matrix demonstrated acceptable consistency (CR = 0.04). The novelty of this research lies in developing a pre-disaster, multi-actor preference-based framework for identifying logistics hub selection criteria that integrates spatial dynamics, hydrometeorological risks, and institutional and social perspectives. The findings provide a structured basis for determining disaster logistics hub locations and offer both conceptual and practical contributions to more inclusive, adaptive, systematic, and sustainable disaster logistics planning in disaster-prone regions such as West Java Province.

How to Cite

Permana, G. Y., Putro , H. P. H., Andani , I. G. A., & Safira, M. (2026). IDENTIFICATION OF RELEVANT SELECTION CRITERIA FOR HYDROMETEOROLOGICAL DISASTER LOGISTICS HUB LOCATIONS IN WEST JAVA BASED ON MULTI-ACTOR PREFERENCES. ACTA INNOVATIONS, 63, 121–141. https://doi.org/10.62441/actainnovations.v63i.1086

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