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Synthetic population initialization and evolution-agent-based modelling of population aging and household transitions

Journal Article


Abstract


  • A synthetic population (SP) aims at faithfully reproducing actual social

    entities, individuals and households, and their characteristics as described

    in a population census. Depending on the quality and completeness of the input

    data sets, as well as the number of variables of interest and hierarchical levels

    (usually, individual and household), a reliable SP should be able to reflect the

    actual physical social entities, with their characteristics and specific behavioural

    patterns. This paper presents a methodology to construct a reliable dynamic

    synthetic population for the Illawarra Region-Australia. The two main components

    in the population synthesizer presented in this paper are initialization and

    evolution. Iterative proportional fitting procedure (IPFP) is presented to help

    with the initialization of the population using 2011 Australian census. Then,

    population aging and evolution is projected using an agent-based modeling

    (ABM) technique over ten years.

Publication Date


  • 2014

Citation


  • Namazi-Rad, M., Huynh, N. N., Barthelemy, J. & Perez, P. (2014). Synthetic population initialization and evolution-agent-based modelling of population aging and household transitions. Lecture Notes in Computer Science, 8861 182-189.

Scopus Eid


  • 2-s2.0-84910148239

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3087

Number Of Pages


  • 7

Start Page


  • 182

End Page


  • 189

Volume


  • 8861

Abstract


  • A synthetic population (SP) aims at faithfully reproducing actual social

    entities, individuals and households, and their characteristics as described

    in a population census. Depending on the quality and completeness of the input

    data sets, as well as the number of variables of interest and hierarchical levels

    (usually, individual and household), a reliable SP should be able to reflect the

    actual physical social entities, with their characteristics and specific behavioural

    patterns. This paper presents a methodology to construct a reliable dynamic

    synthetic population for the Illawarra Region-Australia. The two main components

    in the population synthesizer presented in this paper are initialization and

    evolution. Iterative proportional fitting procedure (IPFP) is presented to help

    with the initialization of the population using 2011 Australian census. Then,

    population aging and evolution is projected using an agent-based modeling

    (ABM) technique over ten years.

Publication Date


  • 2014

Citation


  • Namazi-Rad, M., Huynh, N. N., Barthelemy, J. & Perez, P. (2014). Synthetic population initialization and evolution-agent-based modelling of population aging and household transitions. Lecture Notes in Computer Science, 8861 182-189.

Scopus Eid


  • 2-s2.0-84910148239

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3087

Number Of Pages


  • 7

Start Page


  • 182

End Page


  • 189

Volume


  • 8861