Abstract
Natural hazards increasingly threaten urban areas, and single-risk analyses performed within different methodological frameworks are often not comparable with each other and pose some difficulties for decision-makers. This work highlights the challenges and opportunities of multi-hazard and multi-vulnerability assessment in historical urban areas with a multi-disciplinary approach. Two hazards, i.e., seismic and flood, are included in a multi-risk workflow based on common exposure, vulnerability, and risk metrics. The city center of Florence (Italy) is selected to demonstrate the methodology. The application suggests that estimating direct physical damages for earthquakes and floods requires a different characterisation of exposure and vulnerability parameters. The results show significant differences in the spatial distribution of multi-risk, mostly depending on the evolution of the constructive typologies from the Middle Ages to the XX century and the anthropic alteration of terrain morphology.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Arrighi, C., Tanganelli, M., Cristofaro, M. T., Cardinali, V., Marra, A. M., Castelli, F., & De Stefano, M. (2022). Multi risk assessment in a historical city. Natural Hazards. https://doi.org/10.1007/s11069-021-05125-6
Blyth, A., Di Napoli, B., Parisse, F., Namourah, Z., Anglade, E., Giatreli, A.-M., Rodrigues, H., & Ferreira, T. M. (2020). Assessment and mitigation of seismic risk at the urban scale: An application to the historic city center of Leiria, Portugal. Bulletin of Earthquake Engineering, 18, 2607–2634. https://doi.org/10.1007/s10518-020-00795-2.
Cosenza, E., Del Vecchio, C., Di Ludovico, M., Dolce, M., Moroni, C., Prota, A., & Renzi, E. (2018). The Italian guidelines for seismic risk classification of constructions: Technical principles and validation. Bull Earthquake Engineering, 16, 5905–5935. https://doi.org/10.1007/s10518-018-0431-8
D’Altri, A. M., Sarhosis, V., Milani, G., Rots, J., Cattari, S., Lagomarsino, S., Sacco, E., Tralli, A., Castellazzi, G., & Miranda, S. (2020). Modeling strategies for the computational analysis of unreinforced masonry structures: Review and classification. Archives Computational Methods in Engineering, 27, 1153–1185. https://doi.org/10.1007/s11831-019-09351-x
Garrote, J., Diez-Herrero, A., Escudero, C., & Garcia, I. (2020). A framework proposal for regional-scale flood-risk assessment of cultural heritage sites and application to the Castile and León region. Water, 12, 329.
Lagomarsino, S., & Giovinazzi, S. (2006). Macroseismic and mechanical models for the vulnerability assessment of current buildings. Bulletin of Earthquake Engineering, 4(4), 445–463. https://doi.org/10.1007/s10518-006-9024-z
Molinari, D., Scorzini, A. R., Arrighi, C., Carisi, F., Castelli, F., Domeneghetti, A., Gallazzi, A., Galliani, M., Grelot, F., Kellermann, P., Kreibich, H. G. M., Moimann, M., Natho, S., Richert, C., Schroeter, K., Thieken, A., Zischg, A. P., & Ballio, F. (2020). Are flood damage models converging to “reality”? Lessons learnt from a blind test. Natural Hazards and Earth Systems Sciences, 20, 2997–3017. https://doi.org/10.5194/nhess-20-2997-2020
Munich, R. E. (2020). The 2019 natural catastrophe year at a glance. Retrieved from 10 December, 2020, from https://www.munichre.com/en/company/media-relations/media-information-and-corporate-news/media-information/2020/causing-billions-in-losses-dominate-nat-cat-picture-2019.html.
Rahmati, O., Yousefi, S., Kalantari, Z., Uuemaa, E., Teimurian, T., Keesstra, S., et al. (2019). Multi-hazard exposure mapping using machine learning techniques: A case study from Iran. Remote Sens, 11, 1–20. https://doi.org/10.3390/rs11161943.
Acknowledgements
The Italian Ministry of Education, University and Research is acknowledged for supporting the research within the PRIN funding programme 2015 WELAX9.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Arrighi, C. et al. (2023). Multi-Hazard and Multi-vulnerability Analysis in Historical Urban Areas: Challenges and Opportunities. In: Malheiro, A., Fernandes, F., Chaminé, H.I. (eds) Advances in Natural Hazards and Volcanic Risks: Shaping a Sustainable Future. NATHAZ 2022. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-031-25042-2_23
Download citation
DOI: https://doi.org/10.1007/978-3-031-25042-2_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-25041-5
Online ISBN: 978-3-031-25042-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)