Assessing and enhancing resilience is key to developing sustainable tourism destinations. Evaluating the resilience of tourism destinations is crucial, as the tourism sector is highly vulnerable to disasters. This study assesses the resilience levels of seven coastal tourism destinations in Pesisir Barat Regency using a multidimensional approach, covering social, economic, institutional, community, infrastruc-ture and accommodation, and environmental sub-indices. Data were collected through field surveys and secondary data and analyzed using a standardized resilience index with statistical normalization based on the Disaster Resilience of Place (DROP) model. The findings reveal significant variations in resilience classification. Krui Beach demonstrates high resilience due to strong social, economic, and institutional support, whereas Way Jambu Beach and Walur Beach score low, primarily due to weak economic capacity, institutional support, and community preparedness. While the environmental di-mension significantly contributes to most destinations, it fails to offset weaknesses in other dimen-sions. The analysis also indicates that coastal destinations with robust governance, adequate infrastruc-ture, and empowered communities are better equipped to manage risks and disruptions, particularly in the context of climate change issues. The study highlights that destinations with robust governance, adequate infrastructure, and active community engagement are better equipped to manage disaster risks. However, resource limitations, policy inconsistencies, and stakeholder coordination gaps hinder resilience efforts. Strengthening governance, investing in climate-resilient infrastructure, and adopting community-based adaptation strategies are essential to enhancing tourism resilience. The findings pro-vide insights for policymakers and stakeholders in designing strategic programs for sustainable coastal tourism. Additionally, this approach is a reference for future research, particularly in integrating envi-ronmental sustainability with disaster resilience in similar regions.
Awfa et al. (Fri,) studied this question.