Assessing the Benefits and Costs of ITS Projects: Volume 1 Methodology

David Gillen, Jianling Li, Joy Dahlgren and Elva Chang

Institute of Transportation Studies, Research Reports, Working Papers, Proceedings from Institute of Transportation Studies, UC Berkeley

Abstract: In this document a framework for evaluating ITS projects is developed. One of the central issues addressed is whether ITS projects are distinctly different from other more conventional transportation projects and thus the traditional decision methods such as Benefit-cost analysis cannot be used. The answer is mixed. The decision models used in the past are still relevant, however, these have been applied in an environment in which there was a well developed data base. The models identified, selected, assembled and evaluated data to make judgements as to whether the proposed projects were good or less good public investments. With ITS there is not the history of data on either the cost or benefit (demand) side. Therefore, ITS projects are much more model oriented than data collection oriented. In effect the data or information to be used in the decision models applied to ITS project evaluation must be generated through the use of models including simulation models.

Keywords: Engineering; Intelligent Vehicle Highway Systems--Planning; Intelligent Vehicle Highway Systems--Cost effectiveness; Intelligent Vehicle Highway Systems--Economic aspects; intelligent transportation systems (search for similar items in EconPapers)
Date: 1999-03-01
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:cdl:itsrrp:qt72j6121z

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