日本地球惑星科学連合2024年大会

講演情報

[E] 口頭発表

セッション記号 H (地球人間圏科学) » H-CG 地球人間圏科学複合領域・一般

[H-CG19] 風景評価とレクリエーション研究の国際比較

2024年5月29日(水) 13:45 〜 15:00 105 (幕張メッセ国際会議場)

コンビーナ:松島 肇(北海道大学大学院農学研究院)、高山 範理(国立研究開発法人森林研究・整備機構森林総合研究所)、水内 佑輔(東京大学農学生命科学研究科)、青木 陽二(国立環境研究所)、座長:高山 範理(国立研究開発法人森林研究・整備機構森林総合研究所)、松島 肇(北海道大学大学院農学研究院)

13:45 〜 14:00

[HCG19-01] Exploring the Projected and Perceived Destination Image of the Tsunami Memorial Parks Constructed for the Great East Japan Earthquake by Text Mining

*張 思漢1、アフゼリア プルデンス1、王 茜1、唐 琰2、謝 逸嵐2、松山 佑亮2古谷 勝則1 (1.千葉大学 園芸学研究科、2.千葉大学 園芸学部)

キーワード:メモリアル・ランドスケープ、ダーク・ツーリズム、デスティネーション・イメージ、内容分析、テキストマイニング、東日本大震災

Following the Great East Japan Earthquake, dark tourism has been developed in the Tohoku Region of Japan. Notably, two government-built tsunami memorial parks in Ishinomaki and Rikuzentakata have obtained widespread attention due to profound disaster narratives, iconic disaster sites, and expansive layouts. Many researches aimed at studying dark tourism from the perspective of the destination image projected by Destination Marketing Organizations (DMOs), as well as that perceived by visitors and residents for dark tourism sites. However, there still lack research comparing the two sides. Thus, this research aimed at comparing the destination image from the two sides through content analysis. Specifically, the research delves into the two sides of destination image from the perspective of both cognitive and affection image in text data. Based on the disparities between the two sides, the study gave advice on how destination managers should improve their communication with visitors, including generating more information about consumption and economic activities, infrastructures, etc. Moreover, the study advises destination managers on strategies to enhance the parks, including publicizing more information about local Non-profit Organizations (NPOs) and citizen activities to improve the connection between visitors and local residents, and improving park facilities based on dissatisfaction by tourists. Ultimately, the research proved the efficacy of the employed method in comparing projected and perceived destination images in the context of dark tourism sites. Furthermore, the study introduces sub-dimensions within the cognitive destination image specifically related to the landscape associated with dark tourism.