Regional Transportation Commission Travel Demand Model Update PDF Download
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Author: TJKM Transportation Consultants
Publisher:
ISBN:
Category : Traffic surveys
Languages : en
Pages : 0
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Author: TJKM Transportation Consultants
Publisher:
ISBN:
Category : Traffic surveys
Languages : en
Pages : 0
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Author: California Transportation Commission
Publisher:
ISBN:
Category : Regional planning
Languages : en
Pages : 34
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Author: California. Metropolitan Transportation Commission
Publisher:
ISBN:
Category : San Francisco Bay Area (Calif.)
Languages : en
Pages : 90
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Author: Transportation Research Board
Publisher: National Academies Press
ISBN: 0309179521
Category : Transportation
Languages : en
Pages : 156
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TRB Special Report 288, Metropolitan Travel Forecasting: Current Practice and Future Direction, examines metropolitan travel forecasting models that provide public officials with information to inform decisions on major transportation system investments and policies. The report explores what improvements may be needed to the models and how federal, state, and local agencies can achieve them. According to the committee that produced the report, travel forecasting models in current use are not adequate for many of today's necessary planning and regulatory uses.
Author: California. Metropolitan Transportation Commission
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages : 116
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Author: California. Transportation Board
Publisher:
ISBN:
Category : Regional planning
Languages : en
Pages : 48
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Author:
Publisher:
ISBN:
Category : Traffic estimation
Languages : en
Pages : 13
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Author: Gregory Louis Newmark
Publisher:
ISBN:
Category :
Languages : en
Pages : 180
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Travel demand modeling is a core technology of transportation planning and has been so for half a century. This technology refers to the structured use of mathematical formulae and spatial data to forecast the likely travel impacts of possible transportation, land use, and demographic scenarios. Although this planning practice is pervasive, critics have long argued that is has been resistant to innovation. As the policy scenarios explored through modeling become increasingly complex, particularly in the face of climate change, the question arises of whether regional planning agencies will be able to change their practices through implementing innovation. This research addresses this question by examining the history of travel demand modeling as practiced at regional planning agencies, interviewing travel demand modeling experts, conducting detailed case studies of model practice evolution at two metropolitan planning organizations, the San Francisco Bay Area's Metropolitan Transportation Commission (MTC) and the capital region's Sacramento Area Council of Governments (SACOG), and analyzing the early impacts of California's groundbreaking climate change legislation on the modeling practiced in the Golden State. The findings suggest that far from being a static practice, travel demand modeling at regional agencies has advanced, particularly with public interest in exploring the impacts of major policy interventions. The nature of travel demand models does not naturally foster changes in practice; however, government action can structure the innovation process by establishing clear expectations of agency modeling capabilities to meet legislative mandates, providing resources for investments in new approaches, and creating forums for interagency interaction and information dissemination.
Author: Robert A. Johnston
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 18
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 124
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