@Article{SaitosDRASSSRS:2021:OuInSc,
               author = "Saitos, Silvia Midori and Dias, Mariane Carvalho de Assis and 
                         Ribeiro, Daniela Ferreira and Alval{\'a}, Regina C{\'e}lia dos 
                         Santos and Souza, Daiane Batista de and Santana, Rodrigo Amorim 
                         Souza de Moraes and Souza, Pilar Amadeu de and Ribeiro, J{\'u}lia 
                         Vicente Martins and Stenner, Cla{\'u}dio",
          affiliation = "{Centro Nacional de Monitoramento e Alertas de Desastres Naturais 
                         (CEMADEN)} and {Centro Nacional de Monitoramento e Alertas de 
                         Desastres Naturais (CEMADEN)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Centro Nacional de Monitoramento e Alertas 
                         de Desastres Naturais (CEMADEN)} and {Instituto Brasileiro de 
                         Geografia e Estat{\'{\i}}stica (IBGE)} and {Instituto Brasileiro 
                         de Geografia e Estat{\'{\i}}stica (IBGE)} and {Instituto 
                         Brasileiro de Geografia e Estat{\'{\i}}stica (IBGE)} and 
                         {Instituto Brasileiro de Geografia e Estat{\'{\i}}stica (IBGE)} 
                         and {Instituto Brasileiro de Geografia e Estat{\'{\i}}stica 
                         (IBGE)}",
                title = "Disaster risk areas in Brazil: outcomes from an intra-urban scale 
                         analysis",
              journal = "International Journal of Disaster Resilience in the Built 
                         Environment",
                 year = "2021",
               volume = "12",
               number = "2",
                pages = "238--250",
                month = "Mar.",
             keywords = "Disaster prevention, Disaster risk areas, Population exposure, 
                         Risk analysis, Risk reduction, Vulnerable groups.",
             abstract = "Purpose: This paper aims to shed some light on the distribution of 
                         population, living in disaster risk areas in Brazil, on the 
                         intra-urban scale. The following three aspects are evaluated in 
                         this paper: the distribution of exposed population according to 
                         municipal size classification; the population density in disaster 
                         risk areas; and the municipal human development classification for 
                         the municipalities with disaster risk areas. 
                         Design/methodology/approach: This research is based on an 
                         explorative approach. The main database used is a result of the 
                         association of landslide and flood risk areas to demographic 
                         census, available for 825 Brazilian municipalities. Additional 
                         databases were integrated to characterize disaster risk management 
                         and municipal human development. Findings: The results revealed 
                         that the population exposed to disaster areas is concentrated 
                         within the capitals and small cities in the country. Moreover, 
                         disaster risk areas are densely populated even in small cities, 
                         suggesting that it is a reality faced not only by the larger 
                         cities. Finally, disaster risk areas exist even inside 
                         municipalities with a high level of human development. Practical 
                         implications: These findings could contribute to the understanding 
                         of the spatialisation of disaster risk in Brazil, a primordial 
                         step for the reduction of human losses. Originality/value: A novel 
                         perspective about the Brazilian population exposed to disaster 
                         risk was obtained, revealing a current issue faced by the 
                         municipalities independent of the size classification and level of 
                         human development.",
                  doi = "10.1108/IJDRBE-01-2020-0008",
                  url = "http://dx.doi.org/10.1108/IJDRBE-01-2020-0008",
                 issn = "1759-5916",
             language = "en",
           targetfile = "saito-disaster.pdf",
        urlaccessdate = "20 maio 2024"
}