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A Probabilistic Approach to Evaluate Strategies for Selecting a Parking Space

Author

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  • C. Richard Cassady

    (Department of Industrial Engineering, Mississippi State University, Mississippi State, Mississippi 39762)

  • John E. Kobza

    (Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061)

Abstract

Upon entering the parking lot of a facility, a driver must select a parking space. This paper proposes and evaluates strategies which are intended to find a “good” parking space. Three performance measures are defined for evaluating the “goodness” of a selected parking space. One of these is based on the amount of walking required of the customer, another is based on the amount of driving required, and the third is a combination of the first two and represents the time required for the customer to reach the front door of the facility. Two strategies are defined for selecting a parking space. The first is simple and somewhat conservative, whereas the second strategy is more complicated and aggressive. A probabilistic approach is used to evaluate the three performance measures for each strategy using a parking lot of somewhat “typical” configuration. This approach treats driver decisions and parking space availability as random experiments, and uses conditional probability to evaluate the performance of the strategies.

Suggested Citation

  • C. Richard Cassady & John E. Kobza, 1998. "A Probabilistic Approach to Evaluate Strategies for Selecting a Parking Space," Transportation Science, INFORMS, vol. 32(1), pages 30-42, February.
    • Handle: RePEc:inm:ortrsc:v:32:y:1998:i:1:p:30-42
    DOI: 10.1287/trsc.32.1.30
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    References listed on IDEAS

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    1. W. Henderson & R. W. Kennington & C. E. M. Pearce, 1984. "A Second Look at a Problem of Queueing in Lanes," Transportation Science, INFORMS, vol. 18(1), pages 85-93, February.
    2. Lautso, Kari, 1981. "Mathematical relationships among parking characteristics and revising and reduction methods of parking field survey information," Transportation Research Part B: Methodological, Elsevier, vol. 15(2), pages 73-83, April.
    3. Bifulco, Gennaro Nicola, 1993. "A stochastic user equilibrium assignment model for the evaluation of parking policies," European Journal of Operational Research, Elsevier, vol. 71(2), pages 269-287, December.
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    Cited by:

    1. Abhishek Abhishek & Benjamin Legros & Jan Fransoo, 2021. "Performance Evaluation of Stochastic Systems with Dedicated Delivery Bays and General On-Street Parking," Post-Print hal-03605434, HAL.
    2. Abhishek, & Legros, Benjamin & Fransoo, Jan C., 2021. "Performance evaluation of stochastic systems with dedicated delivery bays and general on-street parking," Other publications TiSEM 09ed9572-d59c-4f28-a9c4-b, Tilburg University, School of Economics and Management.
    3. Jacques Thépot, 2011. "Retailing regulation via parking taxation," Working Papers of LaRGE Research Center 2011-06, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    4. Ogulenko, Aleksey & Benenson, Itzhak & Fulman, Nir, 2022. "The nature of the on-street parking search," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 48-68.
    5. Liya Guo & Shan Huang & Jun Zhuang & Adel Sadek, 2013. "Modeling Parking Behavior Under Uncertainty: A Static Game Theoretic versus a Sequential Neo-additive Capacity Modeling Approach," Networks and Spatial Economics, Springer, vol. 13(3), pages 327-350, September.

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