Spatial Transferability Using Synthetic Population Generation Methods

In this study, we developed a new method to transfer daily travel behavior data from one place to another. This fills a critical gap in practical applications that need data to study behaviors but also to estimate behavioral models. The basic ingredients of this new method are: a) the most recent California Household Travel Survey (CHTS) data that includes household and person characteristics and an one day place-based diary that spans an entire 12 month period in 2012 and 2013; b) a very detailed database of all the business establishments in California that enables computation of land use indicators at many geographical scales; and c) highway and public transportation networks connecting all the business establishments to all the CHTS participants. A classification system of the different determinants of household travel behavior is first developed and then variables are used at the person, household, and spatial organization levels. Then, the CHTS is divided into two parts. The first was used as the seed in synthetic population generation and the second to validate this new method. Finally, experiments were performed and the best method to disseminate the results among practitioners was found. The research questions addressed include: 1. Can we develop a small set of land use groups that capture behavioral heterogeneity? 2. Does the addition of the land use categories modify substantially the synthetic population generated? 3. What are the most important differences between synthetic population with and without land


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 36p

Subject/Index Terms

Filing Info

  • Accession Number: 01646792
  • Record Type: Publication
  • Report/Paper Numbers: CA16-2644, 3762
  • Contract Numbers: 65A0528 TO 012
  • Created Date: Sep 26 2017 4:09PM