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CPN Based Modeling of Tourism Demand Forecasting

Author

Listed:
  • Hua Bai
  • Haoyuan Zhang

Abstract

The tourism demand has become more and more diversified and sensitive to traveling environment, resulting in the high volatility of tourism market. Travel agencies, scenic spots, hotels and other tourism businesses in the tourism supply chain (TSC) need a tight collaboration in order to minimize cost and improve responsiveness and service level. The existence of the bullwhip effect will cause the waste of resources and low efficiency, thus collaborative demand forecasting becomes a good practice to enhance sharing of information and resources, and as a result improving the efficiency and effectiveness of tourism demand forecasting. This paper proposes a collaborative tourism demand forecasting framework based on Colored Petri Net (CPN), which can simulate and examine the effectiveness of tourism supply chain collaboration.

Suggested Citation

  • Hua Bai & Haoyuan Zhang, 2016. "CPN Based Modeling of Tourism Demand Forecasting," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(1), pages 1-28, December.
  • Handle: RePEc:ibn:ijbmjn:v:12:y:2016:i:1:p:28
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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