Modeling the Urban Continuum in an Integrated Framework: Location Choice Activity-Travel Behavior and Dynamic Traffic Patterns

The goal of this Exploratory Advanced Research (EAR) Program project is not to devise new modeling software but to develop a conceptual framework, an integrated prototype, and computational tools with which others can tailor their own integrated systems, using available micro-simulation models. These models cover a broad array of decisions and behaviors on the part of individuals, businesses, and governments, from long-term location choices to daily travel route choices. Land-use modeling enables planners to simulate the interrelationships of land-use dynamics, transportation, and air quality, including feedback effects such as potential induced demand. UrbanSim, for example, is helping planners address policy issues related to reducing urban sprawl, altering travel behavior, and providing affordable housing. New tour- and activity-based models of travel demand simulate the choices of travel times, modes, and routes and the impact they have on travel patterns. Travel demand models based on these concepts are in use or under development by several metropolitan planning organizations around the country. Advanced transportation network modeling methods, such as dynamic traffic assignment, are used by a broad set of practitioners to inform project evaluation and operational planning, city roadway reconfigurations, design and evaluation of intelligent transportation systems, and estimating both typical and evacuation traffic. Any effort to integrate these three distinct arenas of microsimulation must draw on leaders in each area. Researchers at the Arizona State University, Tempe, are leading the activity-travel behavior modeling aspect of the study; a team from the University of Arizona, Tucson, is providing expertise in dynamic traffic assignment modeling; and scientists at the University of Washington, Seattle, are the project's specialists in land-use microsimulation modeling and computational algorithms. Assisting the universities in the 3-year effort are the Arizona Department of Transportation, Maricopa Association of Governments and Maricopa County Department of Transportation in Phoenix, Pima Association of Governments in Tucson, and Puget Sound Regional Council in Seattle.


  • English


  • Status: Completed
  • Sponsor Organizations:

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Gardner, Brian

  • Performing Organizations:

    Arizona State University, Tempe

    Tempe, AZ  United States 
  • Principal Investigators:

    Pendyala, Ram

  • Start Date: 20080707
  • Expected Completion Date: 0
  • Actual Completion Date: 20110707
  • Source Data: RiP Project 24685

Subject/Index Terms

Filing Info

  • Accession Number: 01485576
  • Record Type: Research project
  • Source Agency: Federal Highway Administration
  • Files: RiP, USDOT
  • Created Date: Jul 3 2013 1:00AM