Transferability & Forecasting of the Pedestrian Index Environment (PIE) for Modeling Applications

There have been important advances in non-motorized planning tools in recent years, including the development of the MoPeD pedestrian demand model (Clifton et al., 2013, 2015). This tool and others are increasingly requested by governments and agencies seeking to increase walking activity and create more walkable places. To date, the MoPeD tool has been piloted with success in the Portland region using data unique to Metro, the metropolitan planning organization. However, there is increasing interest from planning agencies within and outside of Portland and Oregon (e.g.: City of Tigard, OR; Metropolitan Council of the Twin Cities, MN; San Francisco Public Health Department, CA) about adapting the pedestrian modeling tools for use in their own jurisdictions. Local governments desire to apply these tools for a variety of planning and forecasting purposes, not only for regional demand modeling. Unfortunately, other regions often do not have uniform access to the same kinds of pedestrian environment data as Metro, particularly at such a fine-grained scale. Important challenges remain in model development that must be overcome if these tools are to achieve widespread application. Among the most critical needs are the standardization and forecasting of model inputs, particularly measures of the built environment. In this next phase of the pedestrian modeling work (see Clifton et al., 2013, 2015), the project team will propose focusing on making our measures, models, and methods more transferable to other locations. Specifically, the project team will re-evaluate, compare and test our pedestrian index of the environment (PIE) measure using data resources more commonly available to planning agencies across the country. Next, the project team will re-estimate our pedestrian trip generation and destination choice models using this new PIE variable. The updated MoPeD will then be ready for further validation in Portland and testing in other regions (Twin Cities) and contexts (suburban Tigard). This process will also consider how PIE may be forecast to reflect future planning scenarios. These tasks will balance data availability, scale, computational capacity, and behavioral realism. This proposed project continues the team’s efforts to advance pedestrian demand modeling tools available for planning analysis and forecasting. In the past 5 years, the project team have completed 2 projects funded by National Institute for Transportation and Communities/Oregon Transportation Research and Education Consortium (NITC/OTREC) (in partnership with Metro) to improve the representation of pedestrians in travel demand models. As a result of these projects, the project team have created a framework model of pedestrian demand (MoPeD) that integrates into trip-based regional models (Clifton et al., in press), estimated models for pedestrian trip generation (Clifton et al., 2013) and destination choice (Clifton et al., 2015), and developed a pedestrian index of the environment (PIE) measure (Singleton et al., 2014). This proposed work program represents the next logical step in the MoPeD’s enhancement and is critical to enabling its utility beyond the Portland region. The project team remains the same, continuing an 11-year collaboration on pedestrian modeling between Dr. Kelly Clifton (PI) and Dr. Robert Schneider


  • English


  • Status: Completed
  • Funding: $ 305,022
  • Contract Numbers:

    NITC 1028

  • Sponsor Organizations:

    Portland State University

    Department of Civil and Environmental Engineering
    P.O. Box 751
    Portland, OR  United States  97207

    Office of the Assistant Secretary for Research and Technology

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

    TREC at Portland State University

    1900 SW Fourth Ave, Suite 175
    P.O. Box 751
    Portland, Oregon  United States  97201
  • Project Managers:

    Hagedorn, Hau

  • Performing Organizations:

    Portland State University

    Department of Civil and Environmental Engineering
    P.O. Box 751
    Portland, OR  United States  97207
  • Principal Investigators:

    Clifton, Kelly

  • Start Date: 20160801
  • Expected Completion Date: 20180331
  • Actual Completion Date: 20190305
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01607656
  • Record Type: Research project
  • Source Agency: National Institute for Transportation and Communities
  • Contract Numbers: NITC 1028
  • Files: UTC, RIP
  • Created Date: Aug 16 2016 4:34PM