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Built Environment Typologies Prone to Risk: A Cluster Analysis of Open Spaces in Italian Cities

Author

Listed:
  • Alessandro D’Amico

    (Department of Civil, Building and Environmental Engineering, Sapienza Università di Roma, 00184 Rome, Italy
    Department of Construction, Civil Engineering and Architecture (DICEA), Università Politecnica delle Marche, 60121 Ancona, Italy)

  • Martina Russo

    (Department of Civil, Building and Environmental Engineering, Sapienza Università di Roma, 00184 Rome, Italy)

  • Marco Angelosanti

    (Department of Civil, Building and Environmental Engineering, Sapienza Università di Roma, 00184 Rome, Italy)

  • Gabriele Bernardini

    (Department of Construction, Civil Engineering and Architecture (DICEA), Università Politecnica delle Marche, 60121 Ancona, Italy)

  • Donatella Vicari

    (Department of Statistical Sciences, Sapienza University of Rome, 00185 Rome, Italy)

  • Enrico Quagliarini

    (Department of Construction, Civil Engineering and Architecture (DICEA), Università Politecnica delle Marche, 60121 Ancona, Italy)

  • Edoardo Currà

    (Department of Civil, Building and Environmental Engineering, Sapienza Università di Roma, 00184 Rome, Italy)

Abstract

Planning for preparedness, in terms of multi-hazard disasters, involves testing the relevant abilities to mitigate damage and build resilience, through the assessment of deterministic disaster scenarios. Among risk-prone assets, open spaces (OSs) play a significant role in the characterization of the built environment (BE) and represent the relevant urban portion on which to develop multi-risk scenarios. The aim of this paper is to elaborate ideal scenarios—namely, Built Environment Typologies (BETs)—for simulation-based risk assessment actions, considering the safety and resilience of BEs in emergency conditions. The investigation is conducted through the GIS data collection of the common characteristics of OSs (i.e., squares), identified through five parameters considered significant in the scientific literature. These data were processed through a non-hierarchical cluster analysis. The results of the cluster analysis identified five groups of OSs, characterized by specific morphological, functional, and physical characteristics. Combining the outcomes of the cluster analysis with a critical analysis, nine final BETs were identified. The resulting BETs were linked to characteristic risk combinations, according to the analysed parameters. Thus, the multi-risk scenarios identified through the statistical analysis lay the basis for future risk assessments of BEs, based on the peculiar characteristics of Italian towns.

Suggested Citation

  • Alessandro D’Amico & Martina Russo & Marco Angelosanti & Gabriele Bernardini & Donatella Vicari & Enrico Quagliarini & Edoardo Currà, 2021. "Built Environment Typologies Prone to Risk: A Cluster Analysis of Open Spaces in Italian Cities," Sustainability, MDPI, vol. 13(16), pages 1-32, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9457-:d:619853
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    References listed on IDEAS

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    1. Juan Diego Blanco Cadena & Graziano Salvalai & Michele Lucesoli & Enrico Quagliarini & Marco D’Orazio, 2021. "Flexible Workflow for Determining Critical Hazard and Exposure Scenarios for Assessing SLODs Risk in Urban Built Environments," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    2. Conghui Zhou & Yun Wu, 2020. "A Planning Support Tool for Layout Integral Optimization of Urban Blue–Green Infrastructure," Sustainability, MDPI, vol. 12(4), pages 1-22, February.
    3. Arnaud Mignan & Stefan Wiemer & Domenico Giardini, 2014. "The quantification of low-probability–high-consequences events: part I. A generic multi-risk approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(3), pages 1999-2022, September.
    4. Khamis, Nurulaqilla & Selamat, Hazlina & Ismail, Fatimah Sham & Lutfy, Omar Farouq & Haniff, Mohamad Fadzli & Nordin, Ili Najaa Aimi Mohd, 2020. "Optimized exit door locations for a safer emergency evacuation using crowd evacuation model and artificial bee colony optimization," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    5. David Koren & Katarina Rus, 2019. "The Potential of Open Space for Enhancing Urban Seismic Resilience: A literature Review," Sustainability, MDPI, vol. 11(21), pages 1-20, October.
    6. Rosso, Federica & Golasi, Iacopo & Castaldo, Veronica Lucia & Piselli, Cristina & Pisello, Anna Laura & Salata, Ferdinando & Ferrero, Marco & Cotana, Franco & de Lieto Vollaro, Andrea, 2018. "On the impact of innovative materials on outdoor thermal comfort of pedestrians in historical urban canyons," Renewable Energy, Elsevier, vol. 118(C), pages 825-839.
    7. Melanie Kappes & Margreth Keiler & Kirsten Elverfeldt & Thomas Glade, 2012. "Challenges of analyzing multi-hazard risk: a review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(2), pages 1925-1958, November.
    8. Jochen Schmidt & Iain Matcham & Stefan Reese & Andrew King & Rob Bell & Roddy Henderson & Graeme Smart & Jim Cousins & Warwick Smith & Dave Heron, 2011. "Quantitative multi-risk analysis for natural hazards: a framework for multi-risk modelling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(3), pages 1169-1192, September.
    9. repec:wbk:wbpubs:7376 is not listed on IDEAS
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