Enhancing Risk Analysis toward a Landscape Digital Twin Framework: A Multi-Hazard Approach in the Context of a Socio-Economic Perspective

Francesca Maria Ugliotti (), Anna Osello, Muhammad Daud and Ozan Onur Yilmaz
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Francesca Maria Ugliotti: Department of Structural, Geotechnical and Building Engineering, Politecnico di Torino, 10129 Turin, Italy
Anna Osello: Department of Structural, Geotechnical and Building Engineering, Politecnico di Torino, 10129 Turin, Italy
Muhammad Daud: Department of Structural, Geotechnical and Building Engineering, Politecnico di Torino, 10129 Turin, Italy
Ozan Onur Yilmaz: Department of Structural, Geotechnical and Building Engineering, Politecnico di Torino, 10129 Turin, Italy

Sustainability, 2023, vol. 15, issue 16, 1-25

Abstract: In the last decades, climate and environmental changes have highlighted the fragility and vulnerability of the landscape, especially in mountain areas where the effects are most severe. This study promotes the methodological setup of a landscape digital twin to establish a multi-disciplinary and multi-scalar hazard overview according to a matrix framework implementable over time and space. The original contribution to the research addresses a holistic vision that combines meaningfully qualitative with quantitative approaches within a multi-hazard framework from the socio-economic perspective. This contribution presents road network risk analysis by exploiting flooding and landslide scenarios. The critical road segments or nodes most vulnerable or impacted by network performance and accessibility can be identified with minimal preprocessing from credible open-source sources. Service maps are used to show the spatial distribution of risk scores for different typologies of points of interest and hazards. Origin-destination matrix graphs display changes in travel time between facilities under various scenarios. Using a risk scores formula to generate risk maps has made it possible to effectively represent the interconnectedness among natural hazards, infrastructure, and socio-economic factors, fostering more resilient decision-making processes. The method’s applicability is tested through a case study in northern Italy’s Piedmont Region.

Keywords: landscape digital twin; GIS; natural hazards; road; floods; landslide; risk analysis; open-source data; risk maps; socio-economic approach (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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