[PDF] Regional Freight Demand Modeling With Application To Grain Transport eBook

Author : Keith M. Chase
Publisher : Transportation Research Board
Page : 90 pages
File Size : 37,28 MB
Release : 2013
Category : Transportation
ISBN : 0309129427

GET BOOK

" 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

Author : Cambridge Systematics
Publisher : Transportation Research Board
Page : 67 pages
File Size : 12,68 MB
Release : 2010
Category : Business & Economics
ISBN : 0309155134

GET BOOK

"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.

Author :
Publisher :
Page : pages
File Size : 49,27 MB
Release : 2007
Category :
ISBN :

GET BOOK

This paper describes a development of national freight demand models for 27 industry sectors covered by the 2002 Commodity Flow Survey. It postulates that the national freight demands are consistent with U.S. business patterns. Furthermore, the study hypothesizes that the flow of goods, which make up the national production processes of industries, is coherent with the information described in the 2002 Annual Input-Output Accounts developed by the Bureau of Economic Analysis. The model estimation framework hinges largely on the assumption that a relatively simple relationship exists between freight production/consumption and business patterns for each industry defined by the three-digit North American Industry Classification System industry codes (NAICS). The national freight demand model for each selected industry sector consists of two models; a freight generation model and a freight attraction model. Thus, a total of 54 simple regression models were estimated under this study. Preliminary results indicated promising freight generation and freight attraction models. Among all models, only four of them had a R2 value lower than 0.70. With additional modeling efforts, these freight demand models could be enhanced to allow transportation analysts to assess regional economic impacts associated with temporary lost of transportation services on U.S. transportation network infrastructures. Using such freight demand models and available U.S. business forecasts, future national freight demands could be forecasted within certain degrees of accuracy. These freight demand models could also enable transportation analysts to further disaggregate the CFS state-level origin-destination tables to county or zip code level.

Author : Frederick S. Inaba
Publisher :
Page : 85 pages
File Size : 46,59 MB
Release : 1989
Category : Grain
ISBN :

GET BOOK

The project developed a demand-based forecasting model for rural and highway road transportation planning to assist decision-makers in predicting transportation demand flows of wheat in the Pacific Northwest. In order to be sensitive to policy changes, the model is based upon the disaggregate, individual shipment decisions of wheat elevators. The research found that the mode/market selection process significantly affects the usual regression estimates of mode/market demand flows. Therefore, estimates of the parameters on the major determinants of transportation demand were obtained by weighted least squares that were corrected for selectivity bias. Procedure was developed to aggregate the disaggregate predictions into total regional flows. This procedure retains the policy-sensitivity of the disaggregate model and is computationally practical in applications. Finally, the aggregate forecasting model was developed into an interactive computer program which can be used in a variety of policy-relation applications.