Modeling Seniors’ Activity-Travel Data

The United States is experiencing an increase in its elderly population. According to Census Bureau estimates, this population should increase by 104.2% from 2000 to 2030, which translates into 72.1 million elders by 2030. This demographic change will affect the transportation system, like any other socioeconomic system. Thus, this study seeks to understand the dynamics of elderly activity-travel behavior and its potential effects on the transportation system to better identify and meet seniors’ transportation needs. The Urban Travel Route and Activity Choice Survey (UTRACS), an automated, Internet- and global positioning system (GPS)-based prompted-recall survey that was coupled with learning algorithms, was employed for that purpose. In this report, the study team analyzes elderly tour formation, activity-trip planning, mode-choice selection, and activity timing.

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    University of Illinois, Chicago

    Department of Civil and Materials Engineering
    842 West Taylor Street
    Chicago, IL  United States  60607-7023

    Illinois Department of Transportation

    Bureau of Materials and Physical Research
    126 East Ash Street
    Springfield, IL  United States  62704-4766

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Mohammadian, Kouros
    • Karimi, Behzad
    • Pourabdollahi, Zahra
    • Frignani, Martina
  • Publication Date: 2013-8


  • English

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Filing Info

  • Accession Number: 01493328
  • Record Type: Publication
  • Report/Paper Numbers: FHWA-ICT-13-026, ICT-13-026, UILU-ENG-2013-2027
  • Contract Numbers: R27-113
  • Created Date: Sep 9 2013 9:57AM