Capturing Wellbeing in Activity Pattern Models Within Activity-Based Travel Demand Models

Understanding activity patterns and the causes of well-being, offers the ability to model the responses to changes in policy, and subsequently predict disruptive changes in urban systems. People aim to enhance their well-being. Human activity is driven by needs that can be satisfied with subsequent activities. Once the needs are satisfied, the result is well-being. It has long been recognized that travel demand is derived from the demand for activities such as work, leisure and shopping. However, existing models of the demand for those activities have poor explanatory power and lack in behavioral realism. This research proposes to model the demand for activity patterns using a well-being maximization approach. The resulting innovative activity pattern models will contribute to the strategic management of disruptive changes in transportation systems, particularly in the area of disruptive environments such as traffic congestion. The research will draw upon methodologies from various scientific and applied disciplines, including transportation, psychology, economics, and behavioral economics. A web-based activity diary survey will be conducted to collect self-reported indicators of well-being. Discrete choice and structural equations with latent variables modeling techniques will be used to identify the interrelationships between well-being, its causes, indicators, and activities.


    • English


    • Status: Active
    • Funding: $65000.00
    • Contract Numbers:



    • Sponsor Organizations:

      Research and Innovative Technology Administration

      Department of Transportation
      1200 New Jersey Avneue, SE
      Washington, DC  United States  20590
    • Principal Investigators:

      Ben-Akiva, Moshe

    • Start Date: 20090901
    • Expected Completion Date: 0
    • Actual Completion Date: 0
    • Source Data: RiP Project 31893

    Subject/Index Terms

    Filing Info

    • Accession Number: 01467318
    • Record Type: Research project
    • Source Agency: New England University Transportation Center
    • Contract Numbers: DTRT07-G-0001, MITR22-1
    • Files: UTC, RiP, USDOT
    • Created Date: Jan 3 2013 3:31PM