Abstract: Floods are one of the most common and harmful natural disasters worldwide, especially in cities, due to the high concentration of people and goods in these areas. This research aims to provide an accessible and accurate means to model risks associated with floods in urban spaces using open data about a series of susceptibility and impact contributing factors. Hence, a methodology combining geoprocessing tools, additive weighting, dependence measures, and optimisation was designed to generate spatial information, aggregating the factors according to their weights and optimising the modelling of their relationships to flood risk, respectively. The application of the proposed approach to the city of Santander (Spain) yielded a flood risk map providing an accurate assessment of the ranking of flood zones reported by its City Council. The results suggested that flood mitigation might focus on the implementation of permeable pavements, due to their ease of integration in urban environments.

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