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

doi:10.1145/2955129.2955151

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

運動休閒與餐旅管理研究所

研究成果: 書貢獻/報告類型 › 會議論文篇章

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	https://doi.org/10.1145/2955129.2955151
出版狀態	已發佈 - 2016 8月 15
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 8月 15 → 2016 8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/地區	美国
城市	Union
期間	2016/08/15 → 2016/08/17

ASJC Scopus subject areas

軟體
人機介面
電腦視覺和模式識別
電腦網路與通信

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10.1145/2955129.2955151

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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 文章 a13 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/2955129.2955151

The open data application on determining main types of activities to predict tourist population and ticket sales in Taiwan National Forestry Recreation Areas. / Li, Ching; Hsia, Ping Feng.
Proceedings of the 3rd Multidisciplinary International Social Networks Conference, SocialInformatics 2016, Data Science 2016, MISNC, SI, DS 2016. Association for Computing Machinery, 2016. a13 (ACM International Conference Proceeding Series).

研究成果: 書貢獻/報告類型 › 會議論文篇章

Li, C & Hsia, PF 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, 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, 2016/08/15. https://doi.org/10.1145/2955129.2955151

Li C, Hsia PF. 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. Association for Computing Machinery. 2016. a13. (ACM International Conference Proceeding Series). doi: 10.1145/2955129.2955151

Li, Ching ; Hsia, Ping Feng. / The open data application on determining main types of activities to predict tourist population and ticket sales in Taiwan National Forestry Recreation Areas. Proceedings of the 3rd Multidisciplinary International Social Networks Conference, SocialInformatics 2016, Data Science 2016, MISNC, SI, DS 2016. Association for Computing Machinery, 2016. (ACM International Conference Proceeding Series).

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abstract = "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.",

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

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出版系列

會議

ASJC Scopus subject areas

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