A strategic roadmap for making better freight investments
Freight Demand Modeling and Data Improvement (C20)
Understanding and forecasting freight flows is critical to planning for future transportation capacity, operation, preservation, safety and security, energy and economy investment needs. However, 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.
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 the tools and data to consistently evaluate 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.