Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Multidisciplinary Social Networks Research - 2nd International Conference, MISNC 2015, Proceedings |
| Editors | Kai Wang, Shiro Uesugi, Leon Wang, Koji Okuhara, I-Hsien Ting |
| Publisher | Springer Verlag |
| Pages | 94-105 |
| Number of pages | 12 |
| ISBN (Print) | 9783662483183 |
| DOIs | |
| Publication status | Published - 2015 Jan 1 |
| Event | 2nd International Conference on Multidisciplinary Social Networks Research, MISNC 2015 - Matsuyama, Japan Duration: 2015 Sep 1 → 2015 Sep 3 |
Publication series
| Name | Communications in Computer and Information Science |
|---|---|
| Volume | 540 |
| ISSN (Print) | 1865-0929 |
Other
| Other | 2nd International Conference on Multidisciplinary Social Networks Research, MISNC 2015 |
|---|---|
| Country | Japan |
| City | Matsuyama |
| Period | 15/9/1 → 15/9/3 |
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Keywords
- Extreme weather events
- Multilayer perceptron analysis
- Seasonal impact
- Tourist arrival
ASJC Scopus subject areas
- Computer Science(all)
- Mathematics(all)
Cite this
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. ed. / Kai Wang; Shiro Uesugi; Leon Wang; Koji Okuhara; I-Hsien Ting. Springer Verlag, 2015. p. 94-105 (Communications in Computer and Information Science; Vol. 540).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - The integration of nature disaster and tourist database
T2 - The effect of extreme weather event on the seasonal tourist arrival in Taiwan
AU - Li, Ching
AU - Hsia, Ping Feng
PY - 2015/1/1
Y1 - 2015/1/1
N2 - 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.
AB - 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.
KW - Extreme weather events
KW - Multilayer perceptron analysis
KW - Seasonal impact
KW - Tourist arrival
UR - http://www.scopus.com/inward/record.url?scp=84946056031&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946056031&partnerID=8YFLogxK
U2 - 10.1007/978-3-662-48319-0_8
DO - 10.1007/978-3-662-48319-0_8
M3 - Conference contribution
AN - SCOPUS:84946056031
SN - 9783662483183
T3 - Communications in Computer and Information Science
SP - 94
EP - 105
BT - Multidisciplinary Social Networks Research - 2nd International Conference, MISNC 2015, Proceedings
A2 - Wang, Kai
A2 - Uesugi, Shiro
A2 - Wang, Leon
A2 - Okuhara, Koji
A2 - Ting, I-Hsien
PB - Springer Verlag
ER -