Artificial Intelligence and Data Science
Online ISSN : 2435-9262
Analysis of the Relationship between the Travel Behavior of Inbound Tourists and Web Information: A Case Study in Yaeyama Islands
Atsushi UECHIDaisuke KAMIYAHanqi ZHAORyo YAMANAKAArata GABEDaisuke FUKUDAYoshiki SUGA
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JOURNAL OPEN ACCESS

2023 Volume 4 Issue 3 Pages 646-655

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Abstract

In order to effectively promote the inbound tourism, it is necessary to master the actual tourism actions and concerns of foreign tourists from various countries and regions but has not been enough analyzed. Therefore, we analyzed to use Wi-Fi packet sensor to grasp the actual tourism behavior of foreign tourists in the Yaeyama Islands. Specifically, we conducted a tourism flow survey using Wi-Fi packet sensors to clarify the behavioral characteristics such as visitation rates by country and primary means of transportation and compared them with those of Japanese tourists. To obtain tourist information, we conducted a text analysis of homepages and blogs from Google and Baidu. And we analyzed the frequency of the names of tourist attractions. As a results, while a large amount of web information leads to an increase in the visit rate, the effect is small in island areas, and that air travelers are more likely to be influenced by web information.

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© 2023 Japan Society of Civil Engineers
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