災害時のソーシャルメディアと帰宅行動の関連性分析  [in Japanese] ANALYSIS OF RELATIONSHIP BETWEEN SOCIAL MEDIA INFORMATION AND RETURNING HOME IN DISASTERS  [in Japanese]

Access this Article

Author(s)

Abstract

東日本大震災時,ソーシャルメディアが活発に利用され注目を浴びた.なかでもTwitterは,従来のマスメディアでは扱いきれない情報が多くやり取りされ,被災者の情報支援に役立った.しかし一方で,Twitterで発信される情報の信頼性は必ずしも担保されていない.そのような状況下で,Twitterにおけるテキスト情報が人々の行動にどう影響しているかは明らかではない.本研究では,ソーシャルメディア情報を用いて災害時の避難行動を誘導する新たな施策立案に資する情報を提供するという立場から,両者の間の関連性を定量的に把握することを目的とする.東日本大震災時の東京都内で発信されたTwitterのテキスト情報と人口流動メッシュデータを用いた分析の結果,両者には相関関係があることを明らかにした.

 The objective of this study is to clarify the relationship between social media information (i.e., Twitter) and returning home behavior in disaster. In order to analyze Twitter's textual data, which is tweeted in the Great East Japan Earthquake on 11 March, 2011, this study applies text-mining approach. The results of text-mining confirm the trend of collocation's network among terms after the Earthquake happened, and the distribution of term co-occurrence frequency. On the other hand, using the returning home data sets on 11 March, 2011 collected at Tokyo and Kanagawa, this study calculate the differences of estimated population between one point and the former point. Moreover, using the two data sets, this study analyzed the relationship between Social Media and returning home behavior using a canonical correlation analysis. Term co-occurrence frequency in Social Media and behavior of returning home is applied to two sets of variables in canonical analysis, and the estimation results demonstrated that these two are significantly interdependent.

Journal

  • Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)

    Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 70(1), 102-112, 2014

    Japan Society of Civil Engineers

Codes

  • NII Article ID (NAID)
    130004559802
  • Text Lang
    JPN
  • Article Type
    journal article
  • ISSN
    2185-6540
  • Data Source
    IR  J-STAGE 
Page Top