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Creating Synthetic Household Populations: Problems and Approach

JournalTransportation Research Record: Journal of the Transportation Research Board
PublisherTransportation Research Board of the National Academies
ISSN0361-1981 (Print)
IssueVolume 2014 / 2007
CategoryPlanning and Administration
Pages85-91
DOI10.3141/2014-11
Online DateFriday, January 25, 2008
Authors
Theo Arentze1, Harry Timmermans1, Frank Hofman2

1Urban Planning Group, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, Netherlands
2Ministry of Transport, Public Works and Water Management, P.O. Box 1031, 3000 BA Rotterdam, Netherlands

Abstract

A method based on iterative proportional fitting (IPF) is developed for generating synthetic populations for the application of Albatross, a rulebased and activity-based model of travel demand. The Dutch Travel Survey (OVG) provides sample data for populations to be synthesized by zone. A method is proposed to generate synthetic households on the basis of data on distributions of individuals. This method uses the concept of relation matrices to convert distributions of individuals to distributions of households in a preprocessing step. Furthermore, a method is proposed to address differences in populations that relate to locational characteristics.

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3 newer articles

  1. Rich, Jeppe (2012) Generating synthetic baseline populations from register data. Transportation Research Part A Policy and Practice 46(3)
    [CrossRef]
  2. Arentze, Theo (2010) An agent-based micro-simulation framework for modelling of dynamic activity–travel rescheduling decisions. International Journal of Geographical Information Science 24(8)
    [CrossRef]
  3. Arentze, Theo (2008) More gray hair—but for whom? Scenario-based simulations of elderly activity travel patterns in 2020. Transportation
    [CrossRef]
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