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A probabilistic analysis of guided tours for tourists during the slack season

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  • Batabyal, Amitrajeet A.
  • Yoo, Seung Jick

Abstract

Issues germane to the provision of guided tours for tourists wishing to visit a particular location during the slack season have received scant theoretical attention in the tourism literature. Therefore, we conduct a stochastic analysis of guided tours for tourists during the slack season. We first delineate a general model that accounts for the common features of guided tours to city attractions and to other scenic locations. Second, we determine the long run fraction of demand that is lost to the firm providing the guided tours. Third, we ascertain the long run fraction of time that the guided tour providing firm is unable to satisfy the demand for such tours. Finally, we use the stationary Poisson process and show how our previous two general results might be used to shed practical light on the slack season provision of guided tours to tourists.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:touman:v:31:y:2010:i:4:p:482-485
    DOI: 10.1016/j.tourman.2009.05.007
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    References listed on IDEAS

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    Cited by:

    1. Peng-Sheng You & Ming-Hsiang Chen & Ching-Hui (Joan) Su, 2021. "Travel agent’s tour selection and sightseeing bus schedule for group package tour planning," Tourism Economics, , vol. 27(1), pages 220-242, February.
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    3. Amitrajeet Batabyal, 2011. "On optimizing the provision of guided tours to tourists during the slack season," Letters in Spatial and Resource Sciences, Springer, vol. 4(1), pages 63-70, March.
    4. Pannee Suanpang & Pitchaya Jamjuntr & Kittisak Jermsittiparsert & Phuripoj Kaewyong, 2022. "Tourism Service Scheduling in Smart City Based on Hybrid Genetic Algorithm Simulated Annealing Algorithm," Sustainability, MDPI, vol. 14(23), pages 1-21, December.

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