Understanding and Using New Data Sources to Address Urban and Metropolitan Freight Challenges

The objective of this research is to develop guidance that: (1) provides an understanding of the rapidly emerging data being collected or processed by the private sector for truck freight movement practices in urban and metropolitan areas; (2) outlines approaches, methods, and analytical techniques that enable local agencies, metropolitan planning organizations (MPOs) and state departments of transportation (DOTs) to better carry out their planning, programming, and operations responsibilities; and (3) identifies and categorizes the use of current and emerging freight data sources for urban and metropolitan freight management strategies. The guidance should be scalable to agencies based on their range of resources and capabilities. The research should address a wide range of topics related to new and emerging truck freight movement data, such as, but not limited to: (1) Understanding the problem: Engaging public stakeholders to identify current freight problems that could be addressed by the application of new and emerging truck freight movement data and analytics; Assessing the range of current and projected data sources and analytics; and Discussing the capabilities and limitations of the data and analytical tools. (2) Analyzing the potential applications: Analyzing applications, with domestic and international examples (e.g., policy support, investment, operations, planning, congestion, economic development) that support the research objective; Describing the relationship of the applications to demand management strategies; Assessing the relationships of the applications to the calibration of road network models (e.g., travel demand models, air quality models); and Understanding the interaction of truck data with other roadway user data (e.g., connected and autonomous vehicles). (3) Addressing the challenges of using the data: Identifying institutional issues (e.g., cost, workforce availability, social justice); Identifying policy challenges (e.g., privacy, legal, current federal requirements); and Developing lessons learned. (4) Taking advantage of the potential value of using new data sources: Identifying measures of effectiveness to replace or complement current practices; Describing the relationships and value added to traditional traffic, social, and economic data sources; and Developing and discussing innovative methods and ideas for testing new concepts and applications.

Language

  • English

Project

  • Status: Active
  • Funding: $600000
  • Contract Numbers:

    Project 49

  • Sponsor Organizations:

    National Cooperative Freight Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC    20001

    Research and Innovative Technology Administration

    Department of Transportation
    1200 New Jersey Avneue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Rogers, William

  • Performing Organizations:

    CPCS Transcom, Incorporated

    1050 Connecticut Avenue Northwest
    5th Floor
    Washington, D.C.  United States  20036
  • Principal Investigators:

    Ludlow, Donald

  • Start Date: 20160705
  • Expected Completion Date: 20180831
  • Actual Completion Date: 0
  • Source Data: RiP Project 40431

Subject/Index Terms

Filing Info

  • Accession Number: 01580872
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 49
  • Files: TRB, RiP
  • Created Date: Nov 20 2015 1:00AM