• Skip to primary navigation
  • Skip to main content

National Network for the Transportation Workforce

  • Home
  • About NNTW
    • About NNTW
    • Contact Us
  • Workforce Initiatives
    • Intelligent Transportation Systems
    • National Transportation Career Pathways Initiative
    • Women in Transportation
    • Road Safety Champion Program
    • Empowering the New Mobility Workforce
  • Career Exploration
    • Transportation Career Pathways
    • Interviews with Transportation Professionals
    • Environmental Career Path Profiles
    • Careers in Computer & Data Science
  • News & Events
  • Resource Center
    • Labor Market Analysis
    • Education & Training
    • Workforce Development
    • The Clean Transportation Workforce
    • Digital Storytelling: The Value of StoryMaps
    • Environmental Career Competencies
  • Mobility Matters
You are here: Home / Resources / Estimating Freight Flows for Metropolitan Area Highway Networks Using Secondary Data Sources

Estimating Freight Flows for Metropolitan Area Highway Networks Using Secondary Data Sources

Author: Genevieve Giuliano
Abstract:

We present a method for estimating intra-metropolitan freight flows on a highway network. The work is part of a larger project aimed at developing an automated, integrated system for freight flow analysis and planning. To overcome the limitations of current estimation methods for commodity flows, we use reliable secondary sources, including small-area employment data, and derive estimates in a plausible way by means of a computational workflow. When available, we extract the data automatically from online sources, so that estimations can be continuously updated. Using widely available data sources allows for transferability. In this paper we provide an overview of our modeling approach and the major data sources used. We apply the model using data from the Los Angeles region, and compare our traffic assignment results with available screenline counts. Results are encouraging. Our approach should be easily applied to other metropolitan areas, allowing planners and policymakers to make more informed decisions by utilizing the most recent data from many sources and enhancing the ability to explore different scenarios.

Website: http://link.springer.com/artic…
Source: Journal of Networks and Spatial Economics
Focus Areas: California, Commodity flow, Freight Modeling, Los Angeles, North America, Truck Traffic, United States, USA
Resource Types: Journal Paper
Target Education Levels: Bachelors Degree, Graduates, practitioners, private sector, public sector, region, researchers

Copyright © 2023 National Network for the Transportation Workforce • Contact Us