Abstract—There are many advantages of Open Government
Data (OGD), but also some problems on using those data. The
purpose of this study is to find out the mainly factor of typhoon
which brings impact on northeast tourism destination through
analyzing OGD. Typhoon data was collected from warning
report, and there were 22 typhoons between 2012-2015. To each
typhoon, researchers matched the related typhoon disaster
expenditures which were recorded by Northeast and Yilan
Coast National Scenic Area Administration. A discriminant
analysis was used to discover which characteristics of typhoon
caused rehabbing expenditure of tourism destination. The
result showed that there were two mainly characteristics of
typhoon. One was the path of typhoon, and the other one was
the monthly amount of typhoon approaching Taiwan. The
average percentage of correction of discriminant function was
90.9%. According to the result, we suggested the northeast
tourism destination manager should pay attention the typhoon
path, especially category 2 and 3. Besides, as being hit by several
typhoons within a month, tourism destination need to notice the
recovery of tourism destination and reinforce the precaution for
suffering from second injury.
Index Terms—Destination management, discriminant
analysis, e-government, open data.
Ping-Feng Hsia, Ching Li, Hsin-Yen Yen, and Ting-Yen Huang are with
the Graduate Institute of Sport, Leisure and Hospitality Management,
National Taiwan Normal University, Taipei, Taiwan (corresponding author:
Ting-Yen Huang; e-mail: 60031011a@ntnu.edu.tw, t94002@ntnu.edu.tw,
kenjizoro520@gmail.com, timhuang0921@hotmail.com).
Cheng-Kuang Fang and Chia-Feng Lin are with Northeast and Yilan
Coast National Scenic Area Administration, Tourism Bureau, Ministry of
Transportation and Communication, Taiwan (e-mail: 3g4f@yahoo.com.tw,
ea10575@gmail.com).
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Cite: Ping-Feng Hsia, Ching Li, Cheng-Kuang Fang, Chia-Feng Lin, Hsin-Yen Yen, and Ting-Yen Huang, "The Study of Destination Risk Management Based on Open Government Data in Taiwan: An Application of Typhoon Warning Report," International Journal of Future Computer and Communication vol. 6, no. 3, pp. 97-101, 2017.
