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Transportation corridor decision-making with multi-attribute utility theory

Author

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  • Josias Zietsman
  • Laurence R. Rilett
  • Seung-Jun Kim

Abstract

This paper provides a description of how decisions concerning transportation programmes and projects can be made in the context of sustainable transportation. It provides information on identifying appropriate performance measures for sustainable transportation and then quantifying these measures with a traffic simulation model (CORSIM) as well as transportation environmental models. The quantified performance measures were then used with three decision making methodologies. The test bed used for this study comprised a transportation corridor in Tshwane, South Africa and one in Houston, Texas. A method based on the multi-attribute utility theory (MAUT) techniques was found to be the best because a broad range of quantitative and qualitative sustainability issues can be included in the decision-making process. In addition, the disaggregate approach proposed in this paper made it possible for decisions to be made at the individual link level.

Suggested Citation

  • Josias Zietsman & Laurence R. Rilett & Seung-Jun Kim, 2006. "Transportation corridor decision-making with multi-attribute utility theory," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 7(2/3), pages 254-266.
  • Handle: RePEc:ids:ijmdma:v:7:y:2006:i:2/3:p:254-266
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    Citations

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    Cited by:

    1. Nazli ERSOY, 2017. "Performance Measurement in Retail Industry By Using A Multi-Criteria Decision Making Methods," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 17(4), pages 539-551.
    2. N. Aktaş & N. Demirel, 2021. "A hybrid framework for evaluating corporate sustainability using multi-criteria decision making," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 15591-15618, October.
    3. Assoc. Prof. Dina Çakmur Yildirtan & Esengül Salihoğlu, 2017. "Panel Data Analysis of Exchange Rate for Fragile Five," European Journal of Multidisciplinary Studies Articles, Revistia Research and Publishing, vol. 2, May Augus.
    4. Kayakutlu, Gulgun & Daim, Tugrul & Kunt, Meltem & Altay, Ayca & Suharto, Yulianto, 2017. "Scenarios for regional waste management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1323-1335.

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