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TRB’s National Cooperative Highway Research Program (NCHRP) Report 716: Travel Demand Forecasting: Parameters and Techniques provides guidelines on travel demand forecasting procedures and their application for helping to solve common transportation problems.
Travel Demand Management (TDM) describes a wide range of actions that are geared toward improving the efficiency of travel demand. There is much controversy and speculation as to the strength, role, and validity of TDM solutions. This uncertainty has probably led to misunderstandings of the role and potential of TDM, and therefore, a lower yield from TDM approaches than appears to be possible. This report is the main product of a study that was sponsored by the Federal Highway Administration to try to set the facts straight and provide the most comprehensive, accurate, and useable guidance on TDM. The report provides a set of materials, statistics, guides and tools that should be of significant value in not only increasing the basic understanding of what TDM is, but on how to design and evaluate programs which will deliver the optimal that these strategies can offer.
The 31 individual authored papers from the breakout sessions are contained in Volume 2"--Pub. desc.
Small and medium-sized communities often lack data that are complete, current, representative of the community, and appropriate for the travel demand models/software to be applied. To aid such communities, this research was conducted to meet the following objectives: (1) Identify and facilitate the communication of data that is updated more frequently than the Decennial Census for Indiana Travel Demand Models; (2) Allow the use of cross-classification techniques within trip generation for planning organizations that lack the time and resources to conduct travel demand/household surveys; (3) Evaluate the sensitivity of travel demand model outputs to varied parameters and inputs so as to help focus data collection and guide parameter selection; and (4) Apply risk management strategies to travel demand modeling so as to help planners program the most resource efficient projects.
The 31 individual authored papers from the breakout sessions are contained in Volume 2"--Pub. desc.