Development of the Household Activity Pattern Problem as an Activity-Travel Simulator

Activity-based travel demand models, which have their theoretical foundation explicitly rooted in the accepted notion that travel is derived from daily activities, offer an attractive, but complex, alternative to the conventional four-step forecasting models. Recent implementations of such approaches via microsimulations have shown promise for practical application of this theoretical construct. A one-year study is proposed that develops a framework of an activity-travel microsimulator based on the Household Activity Pattern Problem (HAPP). The structure of the framework is an optimization model that matches both the system and individual household level data. Not only this project would offer the development and related methodological contributions, but also would provide foundations for diverse spectrum of applications such as regional transportation planning and simulations of extreme event, recovery management or adoption of alternative fuel vehicles.


  • English


  • Status: Completed
  • Funding: $16163.00
  • Contract Numbers:


  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    University Transportation Research Center

    City College of New York
    Marshak Hall, Suite 910, 160 Convent Avenue
    New York, NY  United States  10031
  • Project Managers:

    Eickemeyer, Penny

  • Performing Organizations:

    State University of New York, Albany

    1400 Washington Avenue
    Albany, NY  United States  12222
  • Principal Investigators:

    Kang, Jee

  • Start Date: 20140101
  • Expected Completion Date: 0
  • Actual Completion Date: 20150630
  • Source Data: RiP Project 36045

Subject/Index Terms

Filing Info

  • Accession Number: 01549671
  • Record Type: Research project
  • Source Agency: University Transportation Research Center
  • Contract Numbers: 49997-16-25
  • Files: UTC, RIP
  • Created Date: Jan 9 2015 1:00AM