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A Probabilistic Analysis of a Scheduling Problem in the Economics of Tourism

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  • Batabyal, Amitrajeet

Abstract

The scheduling problem faced by a firm (or by a government agency) that is responsible for providing transportation to tourists who would like to visit a particular location has received scant theoretical attention in the tourism literature. Therefore, we conduct a probabilistic analysis of the scheduling problem in this paper. Specifically, we first delineate a generic model that accounts for the common features of visits to many locations such as fiords, game parks, lakes, and wildlife reserves. Next, we derive the transportation providing firm’s long run expected profit per unit time function. Finally, we show that the optimal frequency with which transportation ought to be provided to tourists is the solution to our firm’s long run expected profit maximization problem.

Suggested Citation

  • Batabyal, Amitrajeet, 2007. "A Probabilistic Analysis of a Scheduling Problem in the Economics of Tourism," MPRA Paper 71875, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:71875
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    References listed on IDEAS

    as
    1. Yan, Shangyao & Chen, Hao-Lei, 2002. "A scheduling model and a solution algorithm for inter-city bus carriers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(9), pages 805-825, November.
    2. Jae H. Kim & Monique T. Ngo, 2001. "Modelling and Forecasting Monthly Airline Passenger Flows among Three Major Australian Cities," Tourism Economics, , vol. 7(4), pages 397-412, December.
    3. Yoel Mansfeld & Onn Winckler, 2004. "Options for Viable Economic Development through Tourism among the Non-Oil Arab Countries: The Egyptian Case," Tourism Economics, , vol. 10(4), pages 365-388, December.
    4. Jonas Nordström, 2005. "Dynamic and stochastic structures in tourism demand modeling," Empirical Economics, Springer, vol. 30(2), pages 379-392, September.
    5. Carey, Malachy & Carville, Sinead, 2003. "Scheduling and platforming trains at busy complex stations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(3), pages 195-224, March.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Amitrajeet A Batabyal & Hamid Beladi, 2010. "A stochastic model of the provision of guided tours to tourists," Economics Bulletin, AccessEcon, vol. 30(1), pages 577-586.
    2. Amitrajeet Batabyal & Hamid Beladi, 2008. "Visitor classification, vehicle breakdowns, and the provision of transport for tourism," Letters in Spatial and Resource Sciences, Springer, vol. 1(2), pages 99-105, December.
    3. repec:ebl:ecbull:v:30:y:2010:i:1:p:577-586 is not listed on IDEAS
    4. Batabyal, Amitrajeet A. & Yoo, Seung Jick, 2010. "A probabilistic analysis of guided tours for tourists during the slack season," Tourism Management, Elsevier, vol. 31(4), pages 482-485.
    5. Muhammad Chaudhary & Amitrajeet Batabyal, 2009. "A stochastic analysis of alternate ways of scheduling transport for tourists," Letters in Spatial and Resource Sciences, Springer, vol. 2(2), pages 67-75, October.
    6. Fosgerau, Mogens & Karlström, Anders, 2010. "The value of reliability," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 38-49, January.
    7. Amitrajeet Batabyal, 2009. "An independence result concerning the arrival rate of and the provision of transport to tourists," Economics Bulletin, AccessEcon, vol. 29(1), pages 108-115.
    8. Amitrajeet Batabyal & Hamid Beladi, 2011. "Transport provision to tourists by a cost minimizing firm: a stochastic characterization," Letters in Spatial and Resource Sciences, Springer, vol. 4(2), pages 103-108, July.

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    More about this item

    Keywords

    Optimal Trip Frequency; Tourism; Transportation; Uncertainty;
    All these keywords.

    JEL classification:

    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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