Developing a Resilience Assessment Matrix for Cultural Heritage Buildings

Climate change has been related to an increase of the frequency and severity of extreme weather events, posing significant threats to cultural heritage (CH) buildings. Traditional conservation approaches are increasingly inadequate in the face of these escalating risks. Current policies focus primarily on post-disaster responses rather than proactive adaptation, highlighting the urgent need for robust assessment tools to measure the impact of preventive measures. This study presents a Resilience Assessment Matrix (RAM) specifically designed for CH buildings, integrating key performance indicators (KPIs): reliability, agility, sustainability and recovery. By combining multivariate regression and time-dependent differential equations, the framework captures both static and dynamic aspects of resilience. The RAM enables a systematic evaluation of how each KPI influences the resilience trajectory over time, providing both quantitative insights and practical implications. This integrated model supports heritage managers in scenario analysis, intervention planning, and resource prioritization. Moreover, the study links supply chain performance with heritage conservation, offering a scalable, data-driven tool to enhance resilience against climate and logistical challenges.

Keywords: Resilience, Climate change, Cultural Heritage Conservation, Assessment Matrix, Agility Supply Chain.