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Generating a Synthetic Population of Individuals in Households: Sample-Free Vs Sample-Based Methods

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Abstract

We compare a sample-free method proposed by Gargiulo et al. (2010) and a sample-based method proposed by Ye et al. (2009) for generating a synthetic population, organised in households, from various statistics. We generate a reference population for a French region including 1310 municipalities and measure how both methods approximate it from a set of statistics derived from this reference population. We also perform a sensitivity analysis. The sample-free method better fits the reference distributions of both individuals and households. It is also less data demanding but it requires more pre-processing. The quality of the results for the sample-based method is highly dependent on the quality of the initial sample.

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  • Maxime Lenormand & Guillaume Deffuant, 2013. "Generating a Synthetic Population of Individuals in Households: Sample-Free Vs Sample-Based Methods," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(4), pages 1-12.
    • Handle: RePEc:jas:jasssj:2012-94-3
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    1. Lenormand, Maxime & Bassolas, Aleix & Ramasco, José J., 2016. "Systematic comparison of trip distribution laws and models," Journal of Transport Geography, Elsevier, vol. 51(C), pages 158-169.

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