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Simulating the Joint Distribution of Individuals, Households and Dwellings in Small Areas

Author

Listed:
  • Trond Husby

    (Netherlands Environmental Assessment Agency (PBL), Den Haag, Netherlands.)

  • Olga Ivanova

    (Netherlands Environmental Assessment Agency (PBL), Den Haag, Netherlands.)

  • Mark Thissen

    (Netherlands Environmental Assessment Agency (PBL), Den Haag, Netherlands.)

Abstract

: This article proposes a sample-based methodology for synthesizing individuals, households and dwellings in small areas, illustrated using a case study of Amsterdam. The method encompasses the following steps: first, individual- and household-level tables are created separately using Iterative Proportional Fitting (IPF). Second, synthetic individuals are allocated into synthetic households using a combination of sorting algorithms and mixed integer programming. As such, the synthetic households are adjusted to accommodate the synthetic individuals, ensuring a consistent joint distribution of individuals, households and dwellings in small areas.

Suggested Citation

  • Trond Husby & Olga Ivanova & Mark Thissen, 2018. "Simulating the Joint Distribution of Individuals, Households and Dwellings in Small Areas," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 169-190.
    • Handle: RePEc:ijm:journl:v11:y:2018:i:2:p:169-190
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    References listed on IDEAS

    as
    1. M. Esteban Muñoz H. & Irene Peters, 2014. "Constructing an Urban Microsimulation Model to Assess the Influence of Demographics on Heat Consumption," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 127-157.
    2. David Pritchard & Eric Miller, 2012. "Advances in population synthesis: fitting many attributes per agent and fitting to household and person margins simultaneously," Transportation, Springer, vol. 39(3), pages 685-704, May.
    3. Beckman, Richard J. & Baggerly, Keith A. & McKay, Michael D., 1996. "Creating synthetic baseline populations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(6), pages 415-429, November.
    4. Robert Tanton, 2014. "A Review of Spatial Microsimulation Methods," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 4-25.
    5. M. Esteban Muñoz H. & Ivan Dochev & Hannes Seller & Irene Peters, 2016. "Constructing a Synthetic City for Estimating Spatially Disaggregated Heat Demand," International Journal of Microsimulation, International Microsimulation Association, vol. 9(3), pages 66-88.
    6. Johan Barthelemy & Philippe L. Toint, 2013. "Synthetic Population Generation Without a Sample," Transportation Science, INFORMS, vol. 47(2), pages 266-279, May.
    7. Templ, Matthias & Meindl, Bernhard & Kowarik, Alexander & Dupriez, Olivier, 2017. "Simulation of Synthetic Complex Data: The R Package simPop," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i10).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    SPATIAL MICROSIMULATION; ITERATIVE PROPORTIONAL FITTING; MIXED INTEGER PROGRAMMING;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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