Amazing technological breakthrough possible @S-Logix pro@slogix.in

Office Address

  • #5, First Floor, 4th Street Dr. Subbarayan Nagar Kodambakkam, Chennai-600 024 Landmark : Samiyar Madam
  • pro@slogix.in
  • +91- 81240 01111

Social List

Hierarchical pattern recognition for tourism demand forecasting - 2021

Research Area:  Machine Learning

Abstract:

This study proposes a hierarchical pattern recognition method for tourism demand forecasting. The hierarchy consists of three tiers: the first tier recognizes the calendar pattern of tourism demand, identifying work days and holidays and integrating floating holidays.The second tier recognizes the tourism demand pattern in the data stream for different calendar pattern groups. The third tier generates forecasts of future tourism demand. Evidence from daily tourist visits to three attractions in China shows that the proposed method is effective in forecasting daily tourism demand. Moreover, the treatment of floating holidays turns out to be more effective and flexible than the commonly adopted dummy variable approach.

Author(s) Name:  Mingming Hu,Richard T.R. Qiu,Doris Chenguang Wu,Haiyan Song

Journal name:  Tourism Management

Conferrence name:  

Publisher name:  Elsevier

DOI:  10.1016/j.tourman.2020.104263

Volume Information:   Volume 84, June 2021, 104263