Synthetic Population Generation by Combining a Hierarchical, Simulation-Based Approach with Reweighting by Generalized Raking

A recent approach for generating populations of synthetic individuals through simulation is extended to produce households of grouped individuals. The contingency tables of the generated populations match external controls on the individual and household levels while exhibiting far greater variety in composition than existing approaches can offer. The method involves a two-step approach. The first consists of a procedure based on Gibbs sampling, which has only recently been applied to population generation in transportation modeling and is generically called Markov chain Monte Carlo (MCMC). For this work, the model was generalized, and an extension was developed, hierarchical MCMC, which was able to generate a hierarchical structure. The second step, a postprocessing step, uses generalized raking (GR), which reweights the output from hierarchical MCMC to perfectly satisfy known marginal control totals on the individual and household levels. The application input data—a demographic sample and some known marginals from Singapore—added further complexities to the problem, which had not yet been explored in the current literature. Despite data challenges, consecutively applying the methods above produced realistic synthetic populations. Results confirm their goodness of fit and their generated hierarchical structures.

• Record URL:
  https://doi.org/10.3141/2493-12
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309369633
• Authors:
  • Casati, Daniele
  • Müller, Kirill
  • Fourie, Pieter J
  • Erath, Alexander
  • Axhausen, Kay W
• Publication Date: 2015

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 107–116
• Monograph Title: Travel Demand Forecasting, Volume 1
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2493
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Households; Markov chains; Monte Carlo method; Simulation; Transportation planning
• Uncontrolled Terms: Hierarchical models; Population synthesis; Synthetic populations; Transportation models
• Geographic Terms: Singapore
• Subject Areas: Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01558291
• Record Type: Publication
• ISBN: 9780309369633
• Report/Paper Numbers: 15-5284
• Files: TRIS, TRB, ATRI
• Created Date: Mar 30 2015 12:22PM