論文

査読有り
2016年

How to find accessible free Wi-Fi at tourist spots in Japan

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Keisuke Mitomi
  • ,
  • Masaki Endo
  • ,
  • Masaharu Hirota
  • ,
  • Shohei Yokoyama
  • ,
  • Yoshiyuki Shoji
  • ,
  • Hiroshi Ishikawa

10046
開始ページ
389
終了ページ
403
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1007/978-3-319-47880-7_24
出版者・発行元
Springer Verlag

We propose a method of finding spots at tourist attractions that do not have accessible Free Wi-Fi by using social media data. Although it is an important issue for the government to determine where they should install Free Wi-Fi equipment, it involves a high human cost. We focused on the difference in usage of social network services (SNSs) to find where there was a lack of Free Wi-Fi. We posed two simple hypotheses: (1) uploaded photos on Flickr, where batch-time SNS reflects the popularity of attractions from the travelers’ perspective, and (2) posts on Twitter, where real-time SNS reflects the communications environment. Differences in the distributions of posts in these SNSs indicate the gap in needs and the current status of communications infrastructures. Experimental results obtained from fieldwork in the Yokohama area clarified that although our method could locate places that were popular with tourists, some of these locations did not have Free Wi-Fi equipment installed there.

リンク情報
DOI
https://doi.org/10.1007/978-3-319-47880-7_24
URL
http://dblp.uni-trier.de/db/conf/socinfo/socinfo2016-1.html#conf/socinfo/MitomiEHYS016

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