Analysis of Changes in the Activity Prisms of Individuals to Predict a Shared Life Experience Metric Over Different Regions and Sociodemographic Groups

Technology has changed individuals’ travel behavior and time-use in so many ways. As much as it offers variety of benefits to societies, it may add to social exclusion phenomena, since the need for travel is being replaced by a click of a button in cell-phone. People don’t feel the need to leave their home to carry out their tasks. They work from home, they order their items online, and even if they want to attend a meeting, they no longer are obliged to travel. Technology, in fact, creates an invisible bubble around individuals, which the size and the thickness of the bubble may vary across different individuals and households. Wouldn’t this make us feel lonelier and more excluded? Research shows that equity in transportation and mobility is closely tied to happiness and well-being. Ensuring that transportation systems are accessible, affordable, and inclusive can lead to reduced stress level, improved quality of life, better health, and greater opportunities, all of which contribute to greater happiness in communities and societies. Public policies, urban planning, and social factors all play a role in shaping this complex relationship. In earlier works, the research team has discussed about Shared-life Experience (SLE) metric, where the team defined it as the likelihood that individuals would interact with others due to their travel patterns; and the team also highlighted the importance of travel and access to transportation in having a higher SLE. In this project, the team aims to expand the concept in three ways: (a) the team defines a new SLE metric which is based on the activity prisms of individuals; (b) the team analyzes the changes in the SLE metric in the individual level over multiple years, using City Wide mobility data that is collected annually; (c) the team runs a probabilistic analysis to predict changes in the SLE metrics to identify how different regions and different sociodemographic groups will be impacted by. The results of the analysis will identify the most vulnerable areas and groups of people.


  • English


  • Status: Active
  • Funding: $132675
  • Contract Numbers:



  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Center for Understanding Future of Travel Behavior and Demand

    University of Texas
    Austin, TX  United States 
  • Project Managers:

    Bhat, Chandra

  • Performing Organizations:

    City College of New York

    Civil Engineering, Steinman T-127
    140th Street and Convent Avenue
    New York, NY  United States  10031
  • Principal Investigators:

    Allahviranloo, Mahdieh

  • Start Date: 20240301
  • Expected Completion Date: 20250531
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01917641
  • Record Type: Research project
  • Source Agency: Data-Supported Transportation Operations and Planning Center
  • Contract Numbers: 69A3552344815, 69A3552348320
  • Files: UTC, RIP
  • Created Date: May 6 2024 3:46PM