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Sponsored by the U.S. Department of Transportation Federal Highway Administration through the University of Michigan’s ITS
Research Center of Excellence, this 1998 report describes the use of analytical methods in assessing
societal issues in the implementation of ITS technology. Based on research conducted during an ITS operationa
l field test in Michigan, the report identifies relevant societal issues, identifies and illustrates the
application of analytical methods appropriate for assessing them, and suggests how the application of these
methods could have improved the deployment of ITS technology
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Sponsored by the Transportation Research Board of the National Academy of Sciences, this 1997 report demonstrates the
value of a decision support methodology called Decision Analysis for bringing the disparate points of view and
concerns of all stakeholders to bear in planning for an Intelligent Transportation System Implementation in Michigan.
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The purpose of this study was to develop a framework for analysis of the long-term sustainability
of freight trucking in the context of the intermodal freight transportation system. The study
included illustrating the role of the trucking industry among other transportation modes, describing
what transportation system sustainability is, describing the present view of the issues surrounding
the trucking industry in a sustainable transportation system, reporting on the views of students,
academia, and the industry on freight trucking in a sustainable transportation system, and developing
a framework that can be used in analyzing the role of government and industry in moving toward
sustainability. A framework is presented that brings into perspective the conditions of transportation
system sustainability and the freight trucking factors affecting it. This framework is useful in
considering the range of options available to the freight trucking industry and the government in moving
toward a sustainable transportation system.
Download Report (  Word,873 KB) Return to selections Toward Estimating Intelligent Transportation System Benefits Based on User Needs (2000) |
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