The open data application on determining main types of activities to predict tourist population and ticket sales in Taiwan National Forestry Recreation Areas

Ching Li, Ping Feng Hsia

研究成果: 書貢獻/報告類型會議貢獻

摘要

The study applied government open data to determine the main types of activities to effect on tourist population and ticket sales in Taiwan National Forestry Recreation Areas. Through multilayer perceptron analysis, the relationship between activity, tourist population, and ticket sales was estimated. The study areas were Basianshan, Alishan, and Taipingshan National Forest Recreation Areas. The data were collected from 2007 to 2011 reported by the Forest Bureau in Taiwan. The results of the investigation showed that tourist population and ticket sales were influenced by different kind of activities. The frequency of large entertaining activity was key factor to influence tourist population, and the frequency of large natural-experience activity was key factor to influence ticket sales. To influence tourist population and ticket sales, the frequency of large entertaining activity and small social activity should be considered.

原文英語
主出版物標題Proceedings of the 3rd Multidisciplinary International Social Networks Conference, SocialInformatics 2016, Data Science 2016, MISNC, SI, DS 2016
發行者Association for Computing Machinery
ISBN(列印)9781450341295
DOIs
出版狀態已發佈 - 2016 八月 15
對外發佈Yes
事件3rd Multidisciplinary International Social Networks Conference, MISNC 2016, 5th ASE International Conference on Social Informatics, SocialInformatics 2016 and 7th ASE International Conference on Data Science, DS 2016 - Union, 美国
持續時間: 2016 八月 152016 八月 17

出版系列

名字ACM International Conference Proceeding Series

會議

會議3rd Multidisciplinary International Social Networks Conference, MISNC 2016, 5th ASE International Conference on Social Informatics, SocialInformatics 2016 and 7th ASE International Conference on Data Science, DS 2016
國家美国
城市Union
期間16/8/1516/8/17

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • 引用此

    Li, C., & Hsia, P. F. (2016). The open data application on determining main types of activities to predict tourist population and ticket sales in Taiwan National Forestry Recreation Areas. 於 Proceedings of the 3rd Multidisciplinary International Social Networks Conference, SocialInformatics 2016, Data Science 2016, MISNC, SI, DS 2016 [a13] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/2955129.2955151