RT Journal Article
T1 Improving the Resilience of Historic Areas Coping with Natural and Climate Change Hazards: 												Interventions Based on Multi-Criteria Methodology
A1 Briz, Estibaliz
A1 Garmendia, Leire
A1 Marcos, Ignacio
A1 Gandini, Alessandra
AB Cultural and Natural Heritage (CNH), a legacy bequeathed to present and future generations, casts light on the humanity of past generations. However, the increase and the intensity of natural and climate-change-related hazards threaten the conservation of such heritage. The aim of this research is to develop a multi-criteria prioritization methodology in support of intervention decisions, to enhance the resilience of CNH conservation through sustainable development. The application of two methods, the Integrated Value Model for Sustainability Assessment and the Analytical Hierarchy Process, ensures both the contribution of a wide panel of experts of heritage conservation and equitable indicator assessment measured on different scales. The prioritization methodology has been developed considering the most common hazards and specific disaster-risk scenarios. The three dimensions of sustainable development and both technical and cultural dimensions are also considered in the methodology. All dimensions and their indicators are weighted to produce a Prioritization Index to support decision-making.
SN 1558-3058
YR 2024
FD 2024
LK https://hdl.handle.net/11556/4983
UL https://hdl.handle.net/11556/4983
LA eng
NO Briz , E , Garmendia , L , Marcos , I & Gandini , A 2024 , ' Improving the Resilience of Historic Areas Coping with Natural and Climate Change Hazards : Interventions Based on Multi-Criteria Methodology ' , International Journal of Architectural Heritage , vol. 18 , no. 8 , pp. 1235-1262 . https://doi.org/10.1080/15583058.2023.2218311
NO Publisher Copyright: © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.
NO The authors wish to acknowledge funding received from the European Commission through the SHELTER project (GA 821282) and, especially to the contribution of the University of Bologna, Tecnalia Research and Innovation, and EKOU. Additionally, the authors are thankful for the funding received from the SAREN Research Group (IT1619-22, Basque Government).
DS TECNALIA Publications
RD 27 sept 2024