The Study of Destination Risk Management Based on Open Government Data in Taiwan: An Application of Typhoon Warning Report

Ping-Feng Hsia, Ching Li, Cheng-Kuang Fang, Chia-Feng Lin, Hsin-Yen Yen, Ting-Yen Huang

Research output: Contribution to journalArticle

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.
Original languageEnglish
Pages (from-to)97-101
Number of pages5
JournalInternational Journal of Future Computer and Communication
Volume6
Issue number3
DOIs
Publication statusPublished - Sep 2017
Externally publishedYes

Keywords

  • Destination management
  • discriminant analysis
  • e-government
  • open data

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