Identification of the Factors Conditioning the Susceptibility of Natural and Man-Made Hazards in an Urban Context

The problem of multi-hazard mapping in urban areas is relevant for preventing and mitigating the impact of natural and human-induced disasters and it is a very complex one because different expertises have to be put together. Single-hazard maps may be produced by taking advantage of Machine and Deep Learning techniques, once the factors conditioning the susceptibility of the hazard are defined and relevant data inventory is collected. From a proper combination of single-hazard maps, a multi-hazard map may be derived. The objective of this study is the identification of the conditioning factors for the most relevant natural and human-induced hazards in an urban context through an exhaustive literature review. All factors found in the literature were methodically listed in tables and order of importance was assigned to each factor depending on the number of citations of each paper and on the number of publications in which such a factor was taken into account. The resulting list will be then validated with domain experts. The obtained results can be used for the production of single and multi-hazard susceptibility maps in urban areas.