Advanced Search
MyIDEAS: Login

Hierarchical IPF: Generating a synthetic population for Switzerland

Contents:

Author Info

  • Kirill Mueller

    ()

  • Kay W. Axhausen
Registered author(s):

    Abstract

    Agent-based microsimulation models for land use or transportation simulate the behavior of agents over time, although at different time scales and with different goals. For both kinds of models, the initial step is the definition of agents and their relationships. Synthesizing the population of agents often is the only solution, due to privacy and cost constraints. In this paper, we assume that the model simulates persons grouped into households, and a person/household population needs to be synthesized. However, the methodology presented here can be applied to other kinds of agent relationships as well, e.g. persons and jobs/workplaces or persons and activity chains. Generating a synthetic population requires (a) reweighting of an initial population, taken from census or other survey data, with respect to current constraints, and (b) choosing the households that belong to the generated population. The reweighting task can be performed using an Iterative Proportional Fitting (IPF) procedure; however, IPF cannot control for attributes at both person and household levels. A frequently applied pattern is to estimate household-level weights using IPF, so that they match the control totals for the households, and then, using these weights, to generate a population of households that best fits the person-level control totals. We propose an algorithm that estimates household-level weights that fit the control totals at both person and household levels. This eliminates the need to account for person-level control during the generation of synthetic households. The algorithm essentially performs a proportional fitting in the domains of both households and persons, and introduces an entropy-minimizing fitting step to switch between these two domains. We evaluate the performance of our algorithm by generating a synthetic population for Switzerland and checking it against the complete Swiss census.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www-sre.wu.ac.at/ersa/ersaconfs/ersa11/e110830aFinal00305.pdf
    Download Restriction: no

    Bibliographic Info

    Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa11p305.

    as in new window
    Length:
    Date of creation: Sep 2011
    Date of revision:
    Handle: RePEc:wiw:wiwrsa:ersa11p305

    Contact details of provider:
    Postal: Welthandelsplatz 1, 1020 Vienna, Austria
    Web page: http://www.ersa.org

    Related research

    Keywords:

    This paper has been announced in the following NEP Reports:

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. A. de Palma & F. Marchal, 2001. "Real Cases Applications of the Fully Dynamic METROPOLIS Tool-Box: an Advocacy for Large-scale Mesoscopic Transportation Systems," THEMA Working Papers 2001-18, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    2. Carolien Beckx & Theo Arentze & Luc Int Panis & Davy Janssens & Jean Vankerkom & Geert Wets, 2009. "An integrated activity-based modelling framework to assess vehicle emissions: approach and application," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 36(6), pages 1086-1102, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as in new window

    Cited by:
    1. Alex Fenton, 2013. "Small-area measures of income poverty," LSE Research Online Documents on Economics 51269, London School of Economics and Political Science, LSE Library.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa11p305. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gunther Maier).

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.