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 many ways. As much as it offers variety of benefits to societies, it may add to social exclusion, since the need for travel is being replaced by a click of a button in cell-phone. People do not 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 people 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 their earlier works, the researchers have discussed Shared-life Experience (SLE) metric, where they defined it as the likelihood that individuals would interact with others due to their travel patterns; and the researchers also highlighted the importance of travel and access to transportation in having a higher SLE. In this project, the researchers aim to expand the concept in three ways: (a) the researchers define a new SLE metric which is based on the activity prisms of individuals; (b) the researchers analyze the changes in the SLE metric in the individual level over multiple years, using City Wide mobility data that is collected annually; (c) the researchers run 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.
Language
- English
Project
- Status: Active
- Funding: $132675
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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
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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 Program
Subject/Index Terms
- TRT Terms: Access; Activity choices; Forecasting; Mobility; Social factors; Travel behavior; Travel patterns
- Subject Areas: Planning and Forecasting; Society; Transportation (General);
Filing Info
- Accession Number: 01933303
- Record Type: Research project
- Source Agency: Center for Understanding Future of Travel Behavior and Demand
- Files: UTC, RIP
- Created Date: Oct 10 2024 4:10PM