The integration of nature disaster and tourist database: The effect of extreme weather event on the seasonal tourist arrival in Taiwan

Ching Li, Ping Feng Hsia

研究成果: 書貢獻/報告類型會議貢獻

摘要

The study integrated nature disaster and tourist databases to understand how the impact of extreme weather event on tourist arrival. Through multilayer perceptron analysis, the relationship between extreme weather events and the tourist arrival was estimated. Data were collected from National Fire Agency and Tourism Bureau for the period 1990-2010. The results of the investigation show that the key extreme weather event in spring is heavy rain; in summer and autumn, the threat of typhoons is the major factor, and in winter, it is the cold air incursion. In conclusion, the seasonal variation in the tourist arrival is affected by different types of extreme weather events. Furthermore, the scale of the extreme weather event was the most important factor that affects the change in the tourist arrival.

原文英語
主出版物標題Multidisciplinary Social Networks Research - 2nd International Conference, MISNC 2015, Proceedings
編輯Kai Wang, Shiro Uesugi, Leon Wang, Koji Okuhara, I-Hsien Ting
發行者Springer Verlag
頁面94-105
頁數12
ISBN(列印)9783662483183
DOIs
出版狀態已發佈 - 2015 一月 1
事件2nd International Conference on Multidisciplinary Social Networks Research, MISNC 2015 - Matsuyama, 日本
持續時間: 2015 九月 12015 九月 3

出版系列

名字Communications in Computer and Information Science
540
ISSN(列印)1865-0929

其他

其他2nd International Conference on Multidisciplinary Social Networks Research, MISNC 2015
國家日本
城市Matsuyama
期間15/9/115/9/3

指紋

Springs (water)
Taiwan
Multilayer neural networks
Disaster
Weather
Disasters
Rain
Fires
Extremes
Air
Tourism
Perceptron
Multilayer

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

引用此文

Li, C., & Hsia, P. F. (2015). The integration of nature disaster and tourist database: The effect of extreme weather event on the seasonal tourist arrival in Taiwan. 於 K. Wang, S. Uesugi, L. Wang, K. Okuhara, & I-H. Ting (編輯), Multidisciplinary Social Networks Research - 2nd International Conference, MISNC 2015, Proceedings (頁 94-105). (Communications in Computer and Information Science; 卷 540). Springer Verlag. https://doi.org/10.1007/978-3-662-48319-0_8

The integration of nature disaster and tourist database : The effect of extreme weather event on the seasonal tourist arrival in Taiwan. / Li, Ching; Hsia, Ping Feng.

Multidisciplinary Social Networks Research - 2nd International Conference, MISNC 2015, Proceedings. 編輯 / Kai Wang; Shiro Uesugi; Leon Wang; Koji Okuhara; I-Hsien Ting. Springer Verlag, 2015. p. 94-105 (Communications in Computer and Information Science; 卷 540).

研究成果: 書貢獻/報告類型會議貢獻

Li, C & Hsia, PF 2015, The integration of nature disaster and tourist database: The effect of extreme weather event on the seasonal tourist arrival in Taiwan. 於 K Wang, S Uesugi, L Wang, K Okuhara & I-H Ting (編輯), Multidisciplinary Social Networks Research - 2nd International Conference, MISNC 2015, Proceedings. Communications in Computer and Information Science, 卷 540, Springer Verlag, 頁 94-105, 2nd International Conference on Multidisciplinary Social Networks Research, MISNC 2015, Matsuyama, 日本, 15/9/1. https://doi.org/10.1007/978-3-662-48319-0_8
Li C, Hsia PF. The integration of nature disaster and tourist database: The effect of extreme weather event on the seasonal tourist arrival in Taiwan. 於 Wang K, Uesugi S, Wang L, Okuhara K, Ting I-H, 編輯, Multidisciplinary Social Networks Research - 2nd International Conference, MISNC 2015, Proceedings. Springer Verlag. 2015. p. 94-105. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-662-48319-0_8
Li, Ching ; Hsia, Ping Feng. / The integration of nature disaster and tourist database : The effect of extreme weather event on the seasonal tourist arrival in Taiwan. Multidisciplinary Social Networks Research - 2nd International Conference, MISNC 2015, Proceedings. 編輯 / Kai Wang ; Shiro Uesugi ; Leon Wang ; Koji Okuhara ; I-Hsien Ting. Springer Verlag, 2015. 頁 94-105 (Communications in Computer and Information Science).
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