In the context of population concentration in large cities, assessing the risks posed by geological hazards to enhance urban resilience is becoming increasingly important. This study introduces a robust and replicable procedure for assessing ground instability hazards and associated physical risks. Specifically, our comprehensive model integrates spatial hazard assessments, multi-satellite InSAR data, and physical features of the built environment to rank and prioritize assets facing multiple risks, with a focus on ground instabilities. The model generates risk scores based on hazard probability, potential damage, and displacement rates, aiding decision-makers in identifying high-risk buildings and implementing appropriate mitigation measures to reduce economic losses. The procedure was tested in Rome, Italy, where the analysis revealed that 60% of the examined buildings (90�103) are at risk of ground instability. Specifically, 33%, 22%, and 5% exhibit the highest multi-risk score for sinkholes, landslides, and subsidence, respectively. Landslide risk prevails among residential structures, while retail and office buildings face a higher risk of subsidence and sinkholes. Notably, our study identified a positive correlation between mitigation expenses and the multi-risk scores of nearby buildings, highlighting the practical implications of our findings for urban planning and risk management strategies.

A novel model for multi-risk ranking of buildings at city level based on open data. The test site of Rome, Italy / Mastrantoni, Giandomenico; Masciulli, Claudia; Marini, Roberta; Esposito, Carlo; SCARASCIA MUGNOZZA, Gabriele; Mazzanti, Paolo. - In: GEOMATICS, NATURAL HAZARDS & RISK. - ISSN 1947-5713. - 14:1(2023). [10.1080/19475705.2023.2275541]

A novel model for multi-risk ranking of buildings at city level based on open data. The test site of Rome, Italy

Giandomenico Mastrantoni
Primo
;
Claudia Masciulli;Roberta Marini;Carlo Esposito;Gabriele Scarascia Mugnozza;Paolo Mazzanti
2023

Abstract

In the context of population concentration in large cities, assessing the risks posed by geological hazards to enhance urban resilience is becoming increasingly important. This study introduces a robust and replicable procedure for assessing ground instability hazards and associated physical risks. Specifically, our comprehensive model integrates spatial hazard assessments, multi-satellite InSAR data, and physical features of the built environment to rank and prioritize assets facing multiple risks, with a focus on ground instabilities. The model generates risk scores based on hazard probability, potential damage, and displacement rates, aiding decision-makers in identifying high-risk buildings and implementing appropriate mitigation measures to reduce economic losses. The procedure was tested in Rome, Italy, where the analysis revealed that 60% of the examined buildings (90�103) are at risk of ground instability. Specifically, 33%, 22%, and 5% exhibit the highest multi-risk score for sinkholes, landslides, and subsidence, respectively. Landslide risk prevails among residential structures, while retail and office buildings face a higher risk of subsidence and sinkholes. Notably, our study identified a positive correlation between mitigation expenses and the multi-risk scores of nearby buildings, highlighting the practical implications of our findings for urban planning and risk management strategies.
2023
multi-risk; ground instability hazards; urban resilience; data fusion; InSAR; open data
01 Pubblicazione su rivista::01a Articolo in rivista
A novel model for multi-risk ranking of buildings at city level based on open data. The test site of Rome, Italy / Mastrantoni, Giandomenico; Masciulli, Claudia; Marini, Roberta; Esposito, Carlo; SCARASCIA MUGNOZZA, Gabriele; Mazzanti, Paolo. - In: GEOMATICS, NATURAL HAZARDS & RISK. - ISSN 1947-5713. - 14:1(2023). [10.1080/19475705.2023.2275541]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1691655
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