A statistical data analysis for planning and evaluating tourism policy on regional destination

2019 Fiscal Year Final Research Report

• Project/Area Number: 18K18284
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 80020:Tourism studies-related
• Research Institution: Toyo University (2019); Tokai University (2018)
• Principal Investigator: Kurihara Takeshi 東洋大学, 国際観光学部, 准教授 (80610344)
• Project Period (FY): 2018-04-01 – 2020-03-31
• Keywords: 観光統計データ / 観光政策 / 政策評価 / 地域観光

Outline of Final Research Achievements

This study investigated the way of utilizing the tourism statistical data, which contributes to the planning and evaluation of tourism policies in order to support regional destinations. Regarding tourism policy evaluation, the current situation in tourism destinations of Japan was analyzed and found that tourism statistical data is not utilized. In addition, by reviewing the current statistics collection method, it was shown that about 20% of the destinations are possible to utilize the data. Regarding tourism policy planning, a text mining analysis was applied by using the text data of tourists visiting Fujikawaguchiko town. As a result, differences in tourism needs depending on the season and nationality were clarified. It was suggested that the text mining approach could contribute to the identification of local tourism issues.

Free Research Field

観光学

Academic Significance and Societal Importance of the Research Achievements

本研究では、全国地域で展開されている観光施策とその評価の現状を網羅的に整理した点、これまで多くの地域が情報として収集しているものの活用されてこなかった、観光客へのアンケート調査の自由回答データを用いて観光施策立案に向けた検討を加えた点に学術的意義がある。また、実務への応用を視野に入れながら、フリーソフトを用いて簡便にテキスト分析を行い、地域の観光施策立案・評価への適用可能性を検証した点に社会的意義を有する。