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On the optimal parking lot subscription policy problem: a hybrid simulation-optimization approach

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Parking lots in most major cities service at least two very distinct types of (market) segments: the first one, comprised of non-subscribed (drive-in) customers that pay variable (higher) fees according to their time in the lot; and the second one, comprised of subscribed customers who pay a fixed (flat) discounted rate. Thus, parking lot operators face the decision of how many subscriptions to sell in order to maximize their revenue, taking into account that denial of service (lack of available parking spots) produces negative effects on their long-term success. In this paper, we develop an approximate solution for this problem based on integer programming and discrete-event simulation techniques and apply our approach to a case study in the city of Bogotá. Copyright Springer Science+Business Media, LLC 2014

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  • Raha Akhavan-Tabatabaei & Manuel Bolívar & Jorge Hincapie & Andrés Medaglia, 2014. "On the optimal parking lot subscription policy problem: a hybrid simulation-optimization approach," Annals of Operations Research, Springer, vol. 222(1), pages 29-44, November.
    • Handle: RePEc:spr:annopr:v:222:y:2014:i:1:p:29-44:10.1007/s10479-012-1208-0
    DOI: 10.1007/s10479-012-1208-0
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    1. Prud'homme, Rémy & Bocarejo, Juan Pablo, 2005. "The London congestion charge: a tentative economic appraisal," Transport Policy, Elsevier, vol. 12(3), pages 279-287, May.
    2. Jeffrey I. McGill & Garrett J. van Ryzin, 1999. "Revenue Management: Research Overview and Prospects," Transportation Science, INFORMS, vol. 33(2), pages 233-256, May.
    3. M. K. Geraghty & Ernest Johnson, 1997. "Revenue Management Saves National Car Rental," Interfaces, INFORMS, vol. 27(1), pages 107-127, February.
    4. José Guadix & Luis Onieva & Jesús Muñuzuri & Pablo Cortés, 2010. "An overview of revenue management in service industries: an application to car parks," The Service Industries Journal, Taylor & Francis Journals, vol. 31(1), pages 91-105, February.
    5. Tsamboulas, Dimitrios A., 2001. "Parking fare thresholds: a policy tool," Transport Policy, Elsevier, vol. 8(2), pages 115-124, April.
    6. Antoine Leboyer & Jean-Claude Malraison & Peter Raulerson, 2009. "Building Routes to Customers," Springer Books, Springer, number 978-0-387-79951-3, December.
    7. Lijian Chen & Tito Homem-de-Mello, 2010. "Re-solving stochastic programming models for airline revenue management," Annals of Operations Research, Springer, vol. 177(1), pages 91-114, June.
    8. Serguei Netessine & Robert Shumsky, 2002. "Introduction to the Theory and Practice of Yield Management," INFORMS Transactions on Education, INFORMS, vol. 3(1), pages 34-44, September.
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    Cited by:

    1. Nihat Kasap & Hasan Hüseyin Turan & Hüseyin Savran & Berna Tektas-Sivrikaya & Dursun Delen, 2018. "Provider selection and task allocation in telecommunications with QoS degradation policy," Annals of Operations Research, Springer, vol. 263(1), pages 311-337, April.
    2. Charilaos Latinopoulos & Aruna Sivakumar & John W. Polak, 2021. "Optimal Pricing of Vehicle-to-Grid Services Using Disaggregate Demand Models," Energies, MDPI, vol. 14(4), pages 1-27, February.
    3. Pierce, Gregory & Willson, Hank & Shoup, Donald, 2015. "Optimizing the use of public garages: Pricing parking by demand," Transport Policy, Elsevier, vol. 44(C), pages 89-95.

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