Integrating community preferences and adaptive capacity for resilient disaster management: A choice experiment-based GIS approach

Department of Natural Resources and Environmental Studies, National Dong Hwa University, Hualien, Taiwan.

^* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

This study applies the Choice Experiment (CE) methodology to explore community preferences in enhancing community-based disaster management (CBDM) and strengthening adaptive capacity. The frequency and impact of disasters are increasing, making it crucial to understand public preferences to design effective and inclusive resilience strategies that address these challenges.Additionally, the research integrates GIS-based multi hazard and preference mapping to provide spatial insights into risk distribution and adaptive capacity across different regions of the district. This spatial analysis, combined with preference data, creates a multidimensional framework for understanding and planning community focused disaster resilience. The results show that most people prefer improving early warning systems and managing water resources wisely rather than focusing on land restoration or new farming methods. Additionally, they value giving important roles equally to make sure e¹ veryone is involved in disaster planning. They also prefer using online groups to connect with others and want disaster lessons included in schools. These preferences help evaluate and make decisions-supporting more effective and equitable disaster risk management.