Abstract
Knowing the spatiotemporal distribution of population at the local scale is fundamental for many applications, particularly in risk analysis and emergency management . Because of human activities, population counts and their distribution vary widely from nighttime to daytime, especially in metropolitan areas, and may be misrepresented by census data.
This study uses a dasymetric mapping approach to refine population distribution in Portugal . The most recent census enumeration figures and mobility statistics are combined with physiographic data to allocate nighttime population to residential areas, and workplaces and workforce are georeferenced to model daytime distribution.
Main results represent expected maximum daytime population and maximum nighttime residential population for each 25-m grid cell in the study area. Since the same spatial reference base is used to allocate population, day and night distributions are directly comparable, as is demonstrated in sample applications in the context of emergency management. Verification and validation procedures and demonstrations indicate that the approach suits the objectives.
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Acknowledgment
The kind support of GeoPoint Lda. throughout this project was greatly appreciated. The author also thanks the Lisbon Metropolitan Area for providing data on school facilities, from the Sistema Metropolitano de Informação Geográfica – Grande Área Metropolitana de Lisboa.
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Freire, S. (2010). Modeling of Spatiotemporal Distribution of Urban Population at High Resolution – Value for Risk Assessment and Emergency Management. In: Konecny, M., Zlatanova, S., Bandrova, T. (eds) Geographic Information and Cartography for Risk and Crisis Management. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03442-8_4
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