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Random Utility Theory

In: Transportation Systems Analysis

Author

Listed:
  • Ennio Cascetta

    (Università degli Studi di Napoli Federico II)

Abstract

In Chap. 1 it was stated that transport flows result from the aggregation of individual trips. Each trip is the result of a number of choices made by transport system users: by travelers in the case of personal transport or by operators (manufacturers, shippers, carriers) in goods transport. Some choices are made infrequently, such as where to reside and work and whether to own a vehicle. Other choices are made for each trip; these include whether to make the trip, at what time, to what destination or destinations, by what mode, and using what path. Each choice context, defined by the available alternatives, evaluation factors, and decision procedures, is known as a “choice dimension.” In most cases, travel choices are made among a finite number of discrete alternatives.

Suggested Citation

  • Ennio Cascetta, 2009. "Random Utility Theory," Springer Optimization and Its Applications, in: Transportation Systems Analysis, chapter 0, pages 89-167, Springer.
    • Handle: RePEc:spr:spochp:978-0-387-75857-2_3
    DOI: 10.1007/978-0-387-75857-2_3
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    Cited by:

    1. Alimo, Philip Kofi & Agyeman, Stephen & Zankawah, Sanusi Mumuni & Yu, Chunhui & Cheng, Lin & Ma, Wanjing, 2022. "Factors causing low demand for a suburban passenger train in Sekondi-Takoradi," Journal of Transport Geography, Elsevier, vol. 98(C).
    2. Farzad Safaeimanesh & Hasan Kılıç & Habib Alipour & Shahrzad Safaeimanesh, 2021. "Self-Service Technologies (SSTs)—The Next Frontier in Service Excellence: Implications for Tourism Industry," Sustainability, MDPI, vol. 13(5), pages 1-21, March.
    3. Joseph Rajabu Kangile & Reuben M. J. Kadigi & Charles Peter Mgeni & Bernadetha Pantaleo Munishi & Japhet Kashaigili & Pantaleo K. T. Munishi, 2021. "Dynamics of Coffee Certifications in Producer Countries: Re-Examining the Tanzanian Status, Challenges and Impacts on Livelihoods and Environmental Conservation," Agriculture, MDPI, vol. 11(10), pages 1-18, September.
    4. H. Holly Wang & Lu Liu & David L. Ortega & Yu Jiang & Qiujie Zheng, 2020. "Are smallholder farmers willing to pay for different types of crop insurance? An application of labelled choice experiments to Chinese corn growers," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 86-110, January.
    5. Shatu, Farjana & Yigitcanlar, Tan & Bunker, Jonathan, 2019. "Shortest path distance vs. least directional change: Empirical testing of space syntax and geographic theories concerning pedestrian route choice behaviour," Journal of Transport Geography, Elsevier, vol. 74(C), pages 37-52.
    6. Jorien Veldwijk & Mattijs S Lambooij & Esther W de Bekker-Grob & Henriëtte A Smit & G Ardine de Wit, 2014. "The Effect of Including an Opt-Out Option in Discrete Choice Experiments," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-9, November.
    7. Baert, Midas & Kervyn, Matthieu & Kagou, Armand Dongmo & Guedjeo, Christian Suh & Vranken, Liesbet & Mertens, Kewan, 2020. "Resettlement preferences from landslide prone areas in Cameroon: Willingness to move, reasons to stay," Land Use Policy, Elsevier, vol. 95(C).
    8. Jamil Hamadneh & Domokos Esztergár-Kiss, 2021. "The Influence of Introducing Autonomous Vehicles on Conventional Transport Modes and Travel Time," Energies, MDPI, vol. 14(14), pages 1-28, July.
    9. Zhang, Yu & Li, Leiming, 2022. "Research on travelers’ transportation mode choice between carsharing and private cars based on the logit dynamic evolutionary game model," Economics of Transportation, Elsevier, vol. 29(C).

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