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" TRB's second Strategic Highway Research Program (SHRP 2) Report S2-C20-RR-1: Freight Demand Modeling and Data Improvement documents the state of the practice for freight demand modeling. The report also explores the fundamental changes in freight modeling, and data and data collection that could help public and private sector decision-makers make better and more informed decisions. SHRP 2 Capacity Project C20, which produced Report S2-C20-RR-1, also produced the following items: A Freight Demand Modeling and Data Improvement Strategic Plan, which outlines seven strategic objectives that are designed to serve as the basis for future innovation in freight travel demand forecasting and data, and to guide both near- and long-term implementation: A speaker's kit, which is intended to be a "starter" set of materials for use in presenting the freight modeling and data improvement strategic plan to a group of interested professionals; and; A 2010 Innovations in Freight Demand Modeling and Data Symposium " -- publisher's description
Federal planning legislation and regulations now mandate that state departments of transportation and metropolitan planning organizations consider the needs of freight when planning and programming transportation investments. While there are standard techniques used to forecast the movement of people, less attention has been paid to forecasting freight movements, and there are consequently fewer standardized techniques that state and local agencies can adapt to their local situation. This Toolkit is designed to provide transportation planners with the information they need to prepare forecasts of freight transportation by highlighting techniques successfully developed by state agencies across the country.
Explores a framework for incorporating freight needs for all modes into transportation planning and priority programming by state, regional, metropolitan, local, and special transportation agencies. The report covers technical issues, organizational suggestions, and communication requirements of freight planning and programming. A project final report that describes the case studies used to help develop the guidebook and other resources used in the guidebook is available as NCHRP Web-Only. Document 112.
The objective of this research is to use publicly available data to develop predictive models for transport mode and Mexican destination decisions for shipments from various U.S. regions. Aggregate logit models have been calibrated for three commodities: machinery, electronics, and automobiles. A profile of Mexico and its industries is presented along with a review of past efforts in freight demand forecasting. The data set of aggregate shipments used in the model estimation is comprised of origin, destination, commodity type, mode of transport across the border, and value. Destination attributes, such as population, employment, number of firms in the industry, and number of shippers and warehouses, are also included.
"This report presents an evaluation of possible improvements in freight demand models and other analysis tools and provides a guidebook to assist model developers in implementing these improvements. The report is especially valuable for its findings of general satisfaction with methods available to support freight planning, but concerns with the data available to support that planning. As such, the report focuses on ways to use existing data to develop data inputs for the model, showing that existing and readily available data can be used to develop the inputs required by freight models. The report will enable decision makers at a range of geographical levels to improve the usability of freight demand models."--Pub. desc.