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Random and fuzzy utility models for road route choice

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  • Quattrone, Agata
  • Vitetta, Antonino

Abstract

The objective of this work is the specification, calibration and validation of a route choice model distinguishing the phases of set perception and route choice among the alternatives belonging to the chosen set. Route generation is performed with a selective multi-criteria approach; route choice is performed using random and fuzzy utility models. As regards the fuzzy utility models, a new specification of a fuzzy model is introduced. Random and fuzzy utility models are compared and applied on a test road network and were specified and calibrated for national road freight transport on a real Italy-wide network.

Suggested Citation

  • Quattrone, Agata & Vitetta, Antonino, 2011. "Random and fuzzy utility models for road route choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1126-1139.
  • Handle: RePEc:eee:transe:v:47:y:2011:i:6:p:1126-1139
    DOI: 10.1016/j.tre.2011.04.007
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    References listed on IDEAS

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    Cited by:

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    6. Jiménez, Antonio & Mateos, Alfonso & Sabio, Pilar, 2013. "Dominance intensity measure within fuzzy weight oriented MAUT: An application," Omega, Elsevier, vol. 41(2), pages 397-405.
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    10. Mohammad Nurul Hassan & Taha Hossein Rashidi & Neema Nassir, 2021. "Consideration of different travel strategies and choice set sizes in transit path choice modelling," Transportation, Springer, vol. 48(2), pages 723-746, April.
    11. Wanke, Peter & Barros, C.P. & Nwaogbe, Obioma R., 2016. "Assessing productive efficiency in Nigerian airports using Fuzzy-DEA," Transport Policy, Elsevier, vol. 49(C), pages 9-19.

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