Measuring and Modeling Travel Well-Being in a Dynamic Context

Understanding travel well-being is important both for a better representation of travel behavior models and for the design and evaluation of policies. The project conducted a cross-sectional travel and activity well-being survey and found evidence for relationships among travel well-being and behavior, travel attributes, and individual characteristics. Despite the insights gained from the cross-sectional survey, travel behavior is mostly habitual. Once a choice has been determined, people tend to repeat their choice and do not fully consider their well-being unless they need to update their travel decision. We propose to develop and test a new method to measure travel well-being at the moment when people are forced to re-evaluate their travel situations. The idea consists of conducting a behavioral modification experiment requiring commuters with strong car habits to temporarily switch to public transportation and measuring their choices, well-being, attitudes and perceptions before and after the intervention. We are currently testing this idea on a small scale, and we propose to conduct a large scale implementation after we analyze the data. This research contributes both methodologically to the measurement of travel well-being, and practically to test new ways of congestion management through behavioral modification. As such, it contributes to the UTC theme: the strategic management of disruptive change in transportation systems, particularly in the area of disruptive environments.


    • English


    • Status: Active
    • Funding: $110672.00
    • Contract Numbers:



    • Sponsor Organizations:

      Research and Innovative Technology Administration

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

      New England University Transportation Center

      Massachusetts Institute of Technology
      77 Massachusetts Avenue, Room 40-279
      Cambridge, MA  United States  01239
    • Principal Investigators:

      Ben-Akiva, Moshe

    • Start Date: 20090401
    • Expected Completion Date: 0
    • Actual Completion Date: 20110831
    • Source Data: RiP Project 24538

    Subject/Index Terms

    Filing Info

    • Accession Number: 01480775
    • Record Type: Research project
    • Source Agency: New England University Transportation Center
    • Contract Numbers: DTRT07-G-0001, MITR21-1
    • Files: UTC, RiP
    • Created Date: May 7 2013 1:01AM