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

Author

Listed:
  • Gillen, David
  • Li, Jianling
  • Dahlgren, Joy
  • Chang, Elva

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.

Suggested Citation

  • Gillen, David & Li, Jianling & Dahlgren, Joy & Chang, Elva, 1999. "Assessing the Benefits and Costs of ITS Projects: Volume 1 Methodology," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt72j6121z, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt72j6121z
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    References listed on IDEAS

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    1. Small, K.A. & Kazimi, C., 1994. "On the Costs of Air Pollution from Motor Vehicules," Papers 94-95-3, California Irvine - School of Social Sciences.
    2. Washington, Simon P. & Guensler, Randall, 1994. "Carbon Monoxide Impacts of Automatic Vehicle Identification Applied to Electronic Vehicle Tolling," University of California Transportation Center, Working Papers qt92v0436v, University of California Transportation Center.
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    1. Levinson, David & Chang, Elva, 2003. "A model for optimizing electronic toll collection systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(4), pages 293-314, May.
    2. Dahlgren, Joy & Khattak, Asad & McDonough, Patrick & Banerjee, Ipsita & Orrick, Phyllis & Sharafsaleh, Ashkan, 2004. "ITS Decision Enhancements: Developing Case-Based Reasoning and Expert Systems and Incorporating New Material," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9242q08h, Institute of Transportation Studies, UC Berkeley.

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