Post-earthquake building recovery is a complex and multi-dimensional process that extends beyond physical reconstruction. Existing recovery approaches have provided important contributions from different perspectives, including performance-based engineering, probabilistic modeling, governance analysis, and empirical case studies. However, these perspectives often operate at different scales and with varying data requirements, making consistent building-scale interpretation challenging. This thesis analyzes post-earthquake building recovery through a structured review and classification of existing frameworks, identifying six recurring conceptual dimensions: temporal, functional, structural, institutional, spatial, and methodological. These dimensions form the basis for adapting the Recovery Framework proposed by Boni and Petrini (2025) to a building-scale application focused on residential structures. The study develops a qualitative evaluation model that translates conceptual recovery factors into an operational matrix. Key pre-event and post-event parameters, including structural typology, retrofit history, damage severity, usability classification, administrative procedures, reparability, and reconstruction capacity are organized within a transparent binary scoring structure. The resulting qualitative recovery outcome does not predict exact recovery time but provides a synthetic interpretation of recovery conditions, supporting comparative assessment across buildings or contexts. The findings confirm that recovery trajectories emerge from the interaction between structural vulnerability and institutional efficiency rather than from hazard intensity alone. By integrating engineering and governance perspectives within a coherent analytical structure, the thesis contributes a flexible and interpretable tool for building-scale recovery assessment under heterogeneous data conditions.
Il recupero degli edifici a seguito di un terremoto rappresenta un processo complesso e multidimensionale che va oltre la sola ricostruzione fisica. Gli approcci esistenti hanno fornito contributi rilevanti da prospettive differenti, tra cui l’ingegneria prestazionale, la modellazione probabilistica, l’analisi della governance e gli studi empirici di caso. Tuttavia, tali prospettive operano spesso a scale differenti e con diversi requisiti informativi, rendendo complessa un’interpretazione coerente del recupero alla scala dell’edificio. La presente tesi analizza il recupero post-sisma degli edifici attraverso una revisione strutturata e una classificazione dei principali framework esistenti, individuando sei dimensioni concettuali ricorrenti: temporale, funzionale, strutturale, istituzionale, spaziale e metodologica. Tali dimensioni costituiscono la base teorica per l’adattamento del Recovery Framework proposto da Boni e Petrini (2025) a un’applicazione alla scala dell’edificio, con particolare riferimento agli edifici residenziali. Lo studio sviluppa un modello qualitativo di valutazione che traduce i fattori concettuali del recupero in una matrice operativa. I principali parametri pre-evento e post-evento tra cui tipologia strutturale, storia di interventi di miglioramento sismico, livello di danno, classificazione di agibilità, procedure autorizzative, riparabilità e capacità ricostruttiva sono organizzati all’interno di una struttura di valutazione binaria trasparente. L’esito qualitativo del recupero risultante non fornisce una stima puntuale dei tempi di ricostruzione, ma offre un’interpretazione sintetica delle condizioni di recupero, consentendo valutazioni comparative tra edifici o contesti differenti. I risultati confermano che le traiettorie di recupero emergono dall’interazione tra vulnerabilità strutturale e efficienza istituzionale, piuttosto che dalla sola intensità dell’evento sismico. Integrando prospettive ingegneristiche e di governance in una struttura analitica coerente, la tesi propone uno strumento flessibile e interpretabile per la valutazione del recupero alla scala edilizia in condizioni di disponibilità informativa eterogenea.
Post-earthquake building recovery process: a critical review of current methods and a framework proposal for qualitative assessment
Reshiti, Ditjon
2025/2026
Abstract
Post-earthquake building recovery is a complex and multi-dimensional process that extends beyond physical reconstruction. Existing recovery approaches have provided important contributions from different perspectives, including performance-based engineering, probabilistic modeling, governance analysis, and empirical case studies. However, these perspectives often operate at different scales and with varying data requirements, making consistent building-scale interpretation challenging. This thesis analyzes post-earthquake building recovery through a structured review and classification of existing frameworks, identifying six recurring conceptual dimensions: temporal, functional, structural, institutional, spatial, and methodological. These dimensions form the basis for adapting the Recovery Framework proposed by Boni and Petrini (2025) to a building-scale application focused on residential structures. The study develops a qualitative evaluation model that translates conceptual recovery factors into an operational matrix. Key pre-event and post-event parameters, including structural typology, retrofit history, damage severity, usability classification, administrative procedures, reparability, and reconstruction capacity are organized within a transparent binary scoring structure. The resulting qualitative recovery outcome does not predict exact recovery time but provides a synthetic interpretation of recovery conditions, supporting comparative assessment across buildings or contexts. The findings confirm that recovery trajectories emerge from the interaction between structural vulnerability and institutional efficiency rather than from hazard intensity alone. By integrating engineering and governance perspectives within a coherent analytical structure, the thesis contributes a flexible and interpretable tool for building-scale recovery assessment under heterogeneous data conditions.| File | Dimensione | Formato | |
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https://hdl.handle.net/10589/253198