Within- and Between-Days Activity Scheduling by Infinite Trip Chaining

Modeling the activity scheduling problem as a chain of trips in a dynamic discrete choice framework gives a dynamically consistent and microeconomically sound model. However, the possibility to estimate such a model has previously been limited by the large number of states that are needed to represent all possible locations, times and activity combinations for an individual during a day. To overcome this problem the authors utilize that the state-space shrinks in the end of every day, and introduce some assumptions under which a sequential estimation approach can be used to get consistent estimates. The estimation approach involves: firstly, using sampling of alternative sequences of actions within a day to estimate part of the structural parameters; and secondly, conditioned on these parameters solve the dynamic discrete choice model for the between days choices using a nested fixed point algorithm. To verify the approach, the authors construct a simple prototype problem from which synthetic data can be simulated. Statistical tests verify that the sequential estimation approach gives consistent and unbiased estimates to all structural parameters, including the between day discount factor.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADB40 Transportation Demand Forecasting. Alternate title: Within- and Between-Day Activity Scheduling by Infinite Trip Chaining.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Västberg, Oskar Blom
  • Karlström, Anders
  • Jonsson, Daniel
  • Sundberg, Marcus
• Conference:
  • Transportation Research Board 93rd Annual Meeting
  • Location: Washington DC
  • Date: 2014-1-12 to 2014-1-16
• Date: 2014

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 16p
• Monograph Title: TRB 93rd Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Microeconomics; Sequential analysis; Trip chaining
• Uncontrolled Terms: Activity scheduling; Discrete choice models; Nested algorithms
• Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01514292
• Record Type: Publication
• Report/Paper Numbers: 14-0725
• Files: TRIS, TRB, ATRI
• Created Date: Feb 12 2014 12:32PM