TY - JOUR
T1 - The Study of Destination Risk Management Based on Open Government Data in Taiwan: An Application of Typhoon Warning Report
AU - Hsia, Ping-Feng
AU - Li, Ching
AU - Fang, Cheng-Kuang
AU - Lin, Chia-Feng
AU - Yen, Hsin-Yen
AU - Huang, Ting-Yen
PY - 2017/9
Y1 - 2017/9
N2 - 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.
AB - 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.
KW - Destination management
KW - discriminant analysis
KW - e-government
KW - open data
U2 - 10.18178/ijfcc.2017.6.3.497
DO - 10.18178/ijfcc.2017.6.3.497
M3 - Article
SN - 2010-3751
VL - 6
SP - 97
EP - 101
JO - International Journal of Future Computer and Communication
JF - International Journal of Future Computer and Communication
IS - 3
ER -