提高哈尔冰雪旅游目的地的竞争力:基于情绪分析和潜在的迪里克莱特分配的大规模数据研究
Bin Jiang1, Chunxiang Zhang1, Yingyin Cui1
1College of Science, Shihezi University, Shihezi, People's Republic of China.
PloS one
|March 21, 2025
概括
这项研究分析了旅游评论,以评估哈尔冰雪旅游的竞争力. 它发现旅游活动是一种优势,但资源和环境需要改善,以提高目的地的竞争力.
科学领域:
- 旅游管理 旅游管理
- 计算社会科学 计算社会科学
- 目的地竞争力分析
背景情况:
- 冰雪旅游业面临着快速增长和激烈的竞争,需要制定战略来加强市场地位.
- 从需求侧的角度了解目的地竞争力对于战略发展至关重要.
研究的目的:
- 用旅游评论剖析冰雪旅游目的地竞争力的多维决定因素.
- 为哈尔的冰雪旅游建立一个综合旅游情绪和主题建模的评估框架.
主要方法:
- 从48,420个旅游评论中提取了使用术语频率-反向文档频率 (TF-IDF) 的文本特征.
- 应用隐性迪里克莱特分配 (LDA) 主题建模以识别关键主题和SnowNLP用于情绪分析.
- 利用重要性-绩效 (IPA) 模型来分析竞争力的优缺点.
主要成果:
- 确定了七个影响竞争力的关键主题:旅游活动,环境,资源,历史/文化方面,成本-绩效,服务和经验.
- 游客表达了积极的情绪和高度的认可,哈尔的整体竞争力得分为0.64.
- 旅游活动被认为是一种竞争优势,而资源和环境需要提升.
结论:
- 整合旅游情绪为评估目的地的竞争力提供了一种新的方法,超越了传统的供给侧分析.
- 该研究为改善冰雪旅游目的地的高质量发展提供了可行的建议.
- 调查结果为提高哈尔冰雪旅游的竞争力提供了理论和实际指导.
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