Mapping Quantitative Methods for Multi-Scale Disaster Resilience: A Bibliometric Review and Research Agenda

This study provides a systematic bibliometric review of quantitative methods for assessing disaster resilience across multiple spatial and organizational scales. Drawing on 909 published in WoS Core Collection from 2003 to 2024, it explores the evolution of methodological frameworks, research hotspots, and cross-disciplinary applications within the field of disaster risk reduction. The findings indicate a clear progression from conceptual discussions of resilience to the development of operational assessment models. Commonly applied approaches include multi-index evaluation methods such as AHP, TOPSIS, and FCE, alongside simulation techniques, probabilistic algorithms, and, more recently, intelligent optimization models. These tools have been utilized to evaluate resilience in infrastructure systems, urban regions, and vulnerable communities. The analysis identifies persistent gaps in international collaboration and highlights a research imbalance between developed and developing regions. Co-occurrence and burst detection analyses reveal that performance measurement, system adaptiveness, and resilience indicators are among the most active research themes. The growing emphasis on preparedness, social equity, and data-driven modeling reflects a broader shift toward dynamic and inclusive frameworks. By mapping knowledge domains and identifying key methodological pathways, this study offers a structured understanding of how disaster resilience is quantitatively assessed and where future research may be directed. The findings provide a reference for scholars, planners, and policymakers seeking scalable, evidence-based strategies to strengthen resilience across diverse risk environments.