WEKO3
アイテム
レビュー解析に基づく地域インバウンド観光支援に関する研究
https://doi.org/10.19000/0002000491
https://doi.org/10.19000/00020004915f8e195b-560c-4588-ba03-5963a2b532e9
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
PhD_Thesis_Liu_f.pdf (4.4 MB)
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| Item type | 学位論文 / Thesis or Dissertation(1) | |||||||
|---|---|---|---|---|---|---|---|---|
| 公開日 | 2023-10-02 | |||||||
| タイトル | ||||||||
| タイトル | A Study on Regional Support for Inbound Tourism Based on Review Analysis | |||||||
| 言語 | en | |||||||
| タイトル | ||||||||
| タイトル | レビュー解析に基づく地域インバウンド観光支援に関する研究 | |||||||
| 言語 | ja | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| 資源タイプ | ||||||||
| 資源 | http://purl.org/coar/resource_type/c_db06 | |||||||
| タイプ | doctoral thesis | |||||||
| ID登録 | ||||||||
| ID登録 | 10.19000/0002000491 | |||||||
| ID登録タイプ | JaLC | |||||||
| アクセス権 | ||||||||
| アクセス権 | open access | |||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||
| 著者 |
Liu Zhenzhen
× Liu Zhenzhen
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| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | The COVID-19 pandemic has significantly impacted the tourism industry, including the number of inbound tourists to Japan. While Japan had been experiencing a steady increase in inbound tourism in recent years, the pandemic caused a sharp decline in visitor numbers in 2020. This decline raises concerns, as Japan had set a target of attracting 60 million inbound tourists annually by 2030. To aid in the recovery of Japan’s tourism industry post-pandemic, I propose a method for identifying the key elements that attract the attention of inbound tourists (focus points) by analyzing reviews of tourist sites. Currently, there is a lack of a comprehensive and objective approach to identifying the focus points of tourist destinations. Previous studies have relied on subjective methods such as surveys and expert opinions, or utilized keyword extraction techniques that may not capture the full spectrum of factors influencing tourists’ preferences. In this thesis, I present a novel method that combines keyword extraction, scoring based on motivational factors, and principal component analysis to pinpoint the most attention-grabbing aspects of tourist spots. By applying this method to popular tourist destinations in Hokkaido, with a specific focus on Chinese tourists, my study provides valuable insights into the specific elements that hold the greatest appeal for this particular group of visitors. In the first phase of my research, I collected a substantial number of reviews from a prominent Chinese travel industry website that focused on popular tourist spots in Hokkaido. The goal was to extract relevant keywords from these reviews to uncover the potential points of interest for Chinese tourists. I used two different kinds of keyword extraction methods: TF-IDF (term frequency-inverse document frequency) and TextRank. Through my analysis, I found that the TF-IDF algorithm produced the most promising results in this study. By examining the extracted keywords derived from TF-IDF, I was able to gain clear insights into the specific elements that Chinese tourists prioritize when considering tourist destinations. Building on this foundation, I proceeded to extract high-frequency n-gram patterns from the reviews written by Chinese inbound tourists, with each n-gram pattern containing the previously extracted keywords. To assess the focus of each destination, I used seven types of motivational factors commonly associated with tourist behavior and applied principal component analysis. This allowed us to effectively quantify and identify the distinctive features and focus points of each tourist destination. Subsequently, I took my analysis a step further by clustering the n-gram patterns extracted from the tourists’ reviews. This clustering process allowed us to group similar patterns together and delve deeper into the underlying themes and characteristics that emerged from the reviews. By carefully examining the clustering results, I was able to provide insightful advice and recommendations to improve the overall tourist experience and develop effective industry strategies based on the identified areas of focus. Through this comprehensive research approach, I aimed to provide valuable insights into the preferences and expectations of Chinese tourists when selecting and experiencing tourist sites in Hokkaido. The results of this study can serve as a basis for industry stakeholders to tailor their offerings and marketing strategies to better meet the interests and needs of Chinese tourists, ultimately strengthening the tourism industry in Hokkaido and beyond. |
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| 言語 | en | |||||||
| 書誌情報 |
p. 1, 発行日 2023-09 |
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| 著者版フラグ | ||||||||
| 言語 | en | |||||||
| 値 | ETD | |||||||
| 学位名 | ||||||||
| 言語 | ja | |||||||
| 学位名 | 博士（工学） | |||||||
| 学位授与機関 | ||||||||
| 学位授与機関識別子Scheme | kakenhi | |||||||
| 学位授与機関識別子 | 10106 | |||||||
| 言語 | ja | |||||||
| 学位授与機関名 | 北見工業大学 | |||||||
| 学位授与番号 | ||||||||
| 学位授与番号 | 甲第209号 | |||||||
| 研究科・専攻名 | ||||||||
| 言語 | ja | |||||||
| 研究科・専攻名 | 生産基盤工学専攻 | |||||||
| 学位授与年月日 | ||||||||
| 学位授与年月日 | 2023-09-05 | |||||||
