An iterative approach for generating statistically realistic populations of households.

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dc.contributorFLORIANA GARGIULO, LISC/CEMAGREF; SONIA TERNES, CNPTIA, LISC/CEMAGREF; SYLVIE HUET, LISC/CEMAGREF; GUILLAUME DEFFUANT, LISC/CEMAGREF.
dc.creatorGARGIULO, F.
dc.creatorTERNES, S.
dc.creatorHUET, S.
dc.creatorDEFFUANT, G.
dc.date2011-04-09T17:47:41Z
dc.date2011-04-09T17:47:41Z
dc.date2010-10-13
dc.date2010
dc.date2011-04-10T11:11:11Z
dc.date.accessioned2026-07-07T04:12:25Z
dc.descriptionBackground. Many different simulation frameworks, in different topics, need to treat realistic datasets to initialize and calibrate the system. A precise reproduction of initial states is extremely important to obtain reliable forecast from the model. Methodology/Principal Findings. This paper proposes an algorithm to create an artificial population where individuals are described by their age, and are gathered in households respecting a variety of statistical constraints (distribution of household types, sizes, age of household head, difference of age between partners and among parents and children). Such a population is often the initial state of microsimulation or (agent) individual-based models. To get a realistic distribution of households is often very important, because this distribution has an impact on the demographic evolution. Usual techniques from microsimulation approach cross different sources of aggregated data for generating individuals. In our case the number of combinations of different households (types, sizes, age of participants) makes it computationally difficult to use directly such methods. Hence we developed a specific algorithm to make the problem more easily tractable. Conclusions/Significance. We generate the populations of two pilot municipalities in Auvergne region (France) to illustrate the approach. The generated populations show a good agreement with the available statistical datasets (not used for the generation) and are obtained in a reasonable computational time.
dc.formatp. 1-9.
dc.identifierPLoS ONE, San Francisco, v. 5, n. 1, 2010.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/864056
dc.identifier10.1371/journal.pone.0008828.t002
dc.identifier.urihttp://hdl.handle.net/123456789/454112
dc.languageeng
dc.rightsopenAccess
dc.subjectAlgoritmo
dc.subjectPopulação x tarefas do lar
dc.subjectProjeto PRIMA
dc.subjectAlgorithm
dc.subjectArtificial population
dc.subjectPopulation distributed in households
dc.subjectPrototypical Policy Impacts on Multifunctional Activities - PRIMA
dc.subjectSimulation
dc.subjectSynthetic population
dc.subjectSimulação
dc.titleAn iterative approach for generating statistically realistic populations of households.
dc.typeArtigo de periódico

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