Dataset for the Review of Seismic Damage Clustering and Restoration Efficiency of Infrastructure Systems

This dataset contains the literature screening, classification, and synthesis records used in the review study titled “Influence of Seismic Damage Clustering on Restoration Efficiency of Infrastructure Systems.” The dataset was developed through a structured literature review conducted using Google Scholar and includes studies published between 2000 and 2026. Literature selection involved duplicate removal, abstract screening, eligibility assessment through full-text review, and final inclusion based on relevance to seismic damage clustering, infrastructure interdependencies, network disruption, and post-earthquake recovery. The compiled dataset includes bibliographic information, screening stage, infrastructure type, study type, hazard type, damage representation, spatial consideration, clustering consideration, interdependency inclusion, network type, recovery modelling approach, recovery metrics, study scale, data source, key findings, study limitations, and relevance to clustering. A total of 46 studies were included in the final review, consisting of 40 core studies and 6 supporting studies cited for conceptual strengthening and contextual interpretation.