Population Synthesis for Microsimulating Urban Residential Mobility

In recent years, transportation researchers have turned to microsimulation models in order to capture and forecast patterns of land use and transport demand across urban networks. Although they bring with them many advantages, microsimulation models require rich micro-data sets as input. In response to this demand, and due to the difficulty of obtaining disaggregate data in practice, methods of population synthesis are employed, which create disaggregate population lists based on publicly available attribute tabulations and micro-samples. A further challenge arises when microsimulation models require that hierarchical relationships exist between different populations in a given study area. For instance, in microsimulation models of residential mobility a ‘comprehensive’ population may be required, where individuals belong to households, which in turn belong to dwellings located in space. It is to such a situation that the authors focus their efforts in this paper, based on the requirements of a specific microsimulation model of residential mobility. Following a brief discussion of the problem in general terms, the authors devise and implement an algorithm in order to create linkages between populations of individuals and households for the City of Hamilton, Ontario. For this task, software is developed in the Python language, using a generic approach that allows for its use in other similar situations. Finally, the authors report on some validation results of the linked ‘comprehensive’ population.

Language

  • English

Media Info

  • Media Type: DVD
  • Features: Figures; Maps; References; Tables;
  • Pagination: 21p
  • Monograph Title: TRB 89th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01155041
  • Record Type: Publication
  • Report/Paper Numbers: 10-1860
  • Files: TRIS, TRB
  • Created Date: Jan 25 2010 10:51AM