A strategic roadmap for making better freight investments.
Freight Demand Modeling and Data Improvement (C20)
Efficient freight and commercial truck travel is essential to national, state, and local transportation infrastructure planning and our economic well-being. Understanding and forecasting freight flows is critical to planning for future transportation capacity, operation, preservation, safety and security, energy and economy investment needs. Incorporating freight movement considerations in the transportation planning process, however, may be difficult. Many current freight demand forecasting models and data sources are more appropriate for passenger transportation than for forecasting freight movements and understanding freight travel behavior.
Freight data and modeling tools used in planning could also benefit from a single clearinghouse for freight information. Much of the most important data are generated by private sources that are difficult to replicate in the public domain. Although government and industry officials agree that freight planning is important and that freight projects can create many benefits, new tools are needed to advance the state of the industry.
The Freight Demand Modeling and Data Improvement (C20) product offers a road map that will lead to improved freight data sets and freight modeling practices. The project includes the Freight Demand Modeling and Data Improvement Strategic Plan, which outlines an organizational approach that will help identify freight modeling and data priority needs, spur innovative ideas, and result in breakthrough solutions for wide application.
This product encompasses an analysis of the current state of the practice, freight decision making needs, and the gaps between current freight forecasting models and real-world needs. The project also produced a strategic plan to guide future advances in freight modeling and data. The plan identifies seven strategic objectives to serve as the basis for future innovation in freight demand modeling and data and to guide both near-term and long-term implementation. Finally, C20 recognizes thirteen Research Initiatives (RI) that represent near-term opportunities to advance the seven strategic objectives. A Global Freight Research Consortium is planned to serve as an ongoing international forum of key stakeholders to expand the dialogue on freight analysis and data innovation.
Freight planners and decision makers will benefit from having a consistent approach to evaluating transportation projects that affect freight movement. Creating better data and models will enable state, regional, and local planners to better predict freight movement trends, and make more informed project investment decisions.
The Freight Demand Modeling and Data Improvement Strategic Plan has been completed and follow-up work has prioritized initial data collection needs. The major next steps under this effort include deploying and evaluating 11 proof of concept pilots, professional development activities such as workshops and cross-industry partnerships, and research activities including international literature scans.
Improved decision making on project investments can hasten the development of freight projects, including safety and security projects.
Targeting limited investments to deploy state of the art modeling practices to catalytic freight projects can increase a region’s economic vitality and stretch limited resources across many states and metropolitan regions.
Improved freight data sets and advanced models can expedite decision making.