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A probabilistic analysis of a scheduling problem in the economics of tourism

Listed author(s):
  • Amitrajeet Batabyal


    (Department of Economics, Rochester Institute of Technology)

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.

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Article provided by AccessEcon in its journal Economics Bulletin.

Volume (Year): 12 (2007)
Issue (Month): 4 ()
Pages: 1-7

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Handle: RePEc:ebl:ecbull:eb-06l80001
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  1. Jonas Nordström, 2005. "Dynamic and stochastic structures in tourism demand modeling," Empirical Economics, Springer, vol. 30(2), pages 379-392, September.
  2. 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.
  3. 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.
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