Ingurune eraikiaren ebaluazio eta kudeaketa modeloak

Climate change risk assessment: A holistic multi-stakeholder methodology for the sustainable development of cities

Egileak:
Alessandra Gandini, Laura Quesada, Iñaki Prieto, Leire Garmendia
Urtea:
2021
Aldizkaria:
Sustainable Cities and Society
Kuartila:
Q1
Liburukia:
65
ISBN/ISSN:
2210-6707
DOI:
https://doi.org/10.1016/j.scs.2020.102641
Deskribapena:

<b>ABSTRACT</b></br>

Cities are at risk due to global climate change, increasing both the frequency and the intensity of storms and extreme precipitation, sea-level rise, and other extreme weather events. Disaster risk reduction and adaptation to climate change should include a holistic and multi-scale perspective, to address the challenges of sustainable urban development and the conservation of the cultural value of our cities. In this research, an integral multi-stakeholder methodological approach is presented for risk assessment, supported by a data-collection and analysis strategy and a multi-scale urban model based on CityGML. A method of sampling buildings is presented together with the necessary data analysis, in order to perform the analysis at city scale. The methodology is implemented in Donostia- San Sebastián (northern Spain), a city located alongside a river estuary on the coastline. A sample of 2262 buildings are analyzed with varied characteristics at risk of extreme precipitation and/or storm surges and sea-level rise. The results demonstrated the effectiveness of the methodology at generating a unique risk index through a balance between the resources for data collection and the accuracy of the results, supported by a graphical 3D representation to facilitate results interpretation, and the subsequent evidence-based decision-making for prioritizing sustainable interventions.</br>

<b>ACKNOWLEDGEMENTS</b></br>

The authors would like to acknowledge the Municipality of Donostia-San Sebastián that facilitated the completion of this study and funding from the Basque Government (ADVICE project), the European Commission (SHELTER project, GA821282) and the University of the Basque Country UPV/EHU (PPGA19/61 and PPGA20_26) as well as the support of the research group IT1314-19 from the Basque Government and GIU19/029 of the University of the Basque Country UPV/EHU.

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