The impacts of flooding on postmodern societies are diverse and adversely affect the functioning of urban areas. Flooding damages properties, disrupts commerce and services, creates homelessness, and gives rise to fatalities, deaths, injuries and a variety of illnesses and diseases. Climate change projections cast the spotlight on the increasing frequency of floodrelated disasters. Therefore, managing areas at risk from flooding demand multiple objectives - with regard to economic, social, and human factors - even though these objectives may conflict with each other. In this context, this paper applies the multicriteria model proposed by Da Silva et al. (2020) with a view to prioritizing risks from flooding in urban areas. By using the MAUT method, the model seeks to quantify the multidimensional risk involved in this problem by taking advantage of uncertainty analysis. A case study was conducted in a municipality in the Northeast of Brazil, in which moderate to severe damage from flooding is recurrent. The model includes graphical tools and risk mapping of areas which aid the decision-maker (DM) to analyze the results and thus to make recommendations. Furthermore, the DM can implement local policies for preventing and mitigating floods, such as planning the allocation of resources. This model can be replicated in any urban area, and further benefits that will accrue when public managers apply it are discussed throughout the paper.