Estimating Model of Dynamic Activity Generation Based on One-Day Observations: Method and Results

In this paper the authors propose a method, which the authors develop from first principles, to estimate dynamic models of activity generation based on cross-sectional, one-day activity diary data. This method utilizes the notion that a one-day diary represents a random one-day draw from the longitudinal activity pattern of a respondent. By deriving probabilities of one-day observations from a dynamic model, loglikelihood estimation can be used to estimate the parameters of the assumed model. An application of the method to data from a national travel survey indicates that the parameters can be identified reliably and bias free. This result indicates that dynamic activity based models of the kind considered here can be estimated from data that are less costly to collect and that support the size of samples typically required for travel demand modeling. The authors conclude therefore that the proposed method opens up a way to develop large-scale dynamic activity-based models of travel demand.

• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Arentze, Theo A
  • Ettema, Dick
  • Timmermans, Harry J P
• Conference:
  • Transportation Research Board 88th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2009-1-11 to 2009-1-15
• Date: 2009

Language

• English

Media Info

• Media Type: DVD
• Features: References; Tables;
• Pagination: 20p
• Monograph Title: TRB 88th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

• TRT Terms: Activity choices; Data collection; Public transit; Travel behavior; Travel demand; Travel surveys; Trip purpose
• Uncontrolled Terms: Activity based modeling; Activity generation; Likelihood
• Subject Areas: Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01128743
• Record Type: Publication
• Report/Paper Numbers: 09-0785
• Files: TRIS, TRB
• Created Date: May 19 2009 7:48AM