Estimating the Value of Truck Travel Time Reliability

Travel time reliability is frequently cited as an important metric for the trucking community and other users of truck freight services.While travel time reliability for all vehicles is commonly measured and reported as a percentile of average (mean) travel time, the value of truck travel time reliability needs to be incorporated into the truck freight benefit-cost estimation in order to better assess mobility projects and provide quantitative data for transportation project prioritization. While the importance of reliability is well established for passenger and freight travel, the value of reliability for truck freight system users is not. The recently published NCHRP Report 824: Methodology for Estimating the Value of Travel Time Reliability for Truck Freight System Users developed and demonstrated a methodology to estimate the value of travel time reliability, but was only a first step and provides limited data because of the low survey response rate. There is a need to develop and demonstrate an improved methodology to estimate the value of truck travel time reliability. The methodology should be applicable to any region, across a range of truck freight users and commodity types. The objective of this research is to develop an improved framework for truck freight reliability valuation. The framework should include the methodology, modeling assumptions, analytical techniques, and tools developed in NCHRP Report 824 in order to assist transportation professionals and decision makers in the evaluation of proposed roadway infrastructure and operations investments. The research should address a wide range of issues related to the truck freight reliability valuation framework, such as, but not limited to: (1) Addressing challenges and limitations of the NCHRP Report 824 framework; (2) Proposing data collection methods (e.g., surveys, case studies, databases, interviews, shipping characteristics) to better inform the values and framework; (3) Reviewing existing data sources (e.g., commercial establishment surveys, revealed preference surveys, vehicle probe data, commercial supply chain data providers); (4) Developing processes that improve the framework, its model logic and structure, and parameter values; (5) Reviewing applicability of the framework to different levels of reliability; (6) Developing framework flexibility for use in various types of improvements (e.g., spot, local, corridor, regional); (7) Developing an improved framework; and (8) Demonstrating its application (e.g., using case studies, simulations, scenario planning).

Language

  • English

Project

  • Status: Active
  • Funding: $300000
  • Contract Numbers:

    Project 07-24

  • Sponsor Organizations:

    National Cooperative Highway Research Program

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

    American Association of State Highway and Transportation Officials (AASHTO)

    444 North Capitol Street, NW
    Washington, DC  United States  20001

    Federal Highway Administration

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

    Rogers, William

  • Performing Organizations:

    Parsons Brinckerhoff, Incorporated

    New York, NY  United States 
  • Principal Investigators:

    Guerrero, Sebastian

  • Start Date: 20170126
  • Expected Completion Date: 20181031
  • Actual Completion Date: 0
  • Source Data: RiP Project 40801

Subject/Index Terms

Filing Info

  • Accession Number: 01598921
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 07-24
  • Files: TRB, RiP
  • Created Date: May 8 2016 1:00AM