What Do Online Reviews Reveal About Tourist Experience? A Diagnostic Framework for Sustainable Destination Management in a Large Provincial Tourism System in China
文献类型：期刊论文
| 作者 | Liu, Fan2; Liu, Jiaming1 |
| 刊名 | SUSTAINABILITY
 |
| 出版日期 | 2026-04-03 |
| 卷号 | 18期号:7页码:3543 |
| 关键词 | online reviews tourist experience sentiment analysis topic modelling sentiment risk sustainable destination management platform ratings scenic attractions |
| DOI | 10.3390/su18073543 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Online reviews are widely used to evaluate tourism performance, but it remains unclear whether platform ratings adequately reflect the underlying tourist experience. This study uses 67,744 cleaned Ctrip reviews from 112 A-level scenic spots in Liaoning Province, China, to examine what online reviews reveal beyond conventional satisfaction metrics. The final analytical sample comprises 106 threshold-qualified attractions with at least 100 reviews, supplemented by six highly reviewed sub-attractions that were listed separately on the platform but belonged to officially recognized A-level scenic systems. We combine topic modelling, sentiment analysis, and a rating-sentiment analytical framework to identify experiential dimensions, emotional patterns, and attraction-level sentiment risk. The results reveal a five-dimensional structure of tourist experience, including accessibility and ticketing, natural landscape imagery, cultural heritage interpretation, service-process quality, and overall affective appraisal. Positive sentiment is concentrated in landscape, heritage, and holistic appraisal themes, whereas negative sentiment is more prominent in accessibility and service-process dimensions. Quadrant-based analysis further shows that favourable ratings may coexist with relatively negative textual sentiment, suggesting that platform ratings and review-text sentiment do not fully converge. To extend review-level evidence to the attraction level, the study develops an attraction-level sentiment-risk indicator that captures the concentration of sentiment-negative reviews within each scenic spot. The findings suggest that online reviews function as a dual-channel evaluative system and can support sustainable destination management through more sensitive monitoring of operational friction and experiential risk. |
| URL标识 | 查看原文 |
| WOS关键词 | SOCIAL MEDIA ANALYTICS ; WORD-OF-MOUTH ; BIG DATA ; HOSPITALITY ; SATISFACTION ; BEHAVIOR ; IMPACT |
| WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001738885300001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221490]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Liu, Fan |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Liaoning Univ, Business Dept, Shenyang 110136, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Liu, Fan,Liu, Jiaming. What Do Online Reviews Reveal About Tourist Experience? A Diagnostic Framework for Sustainable Destination Management in a Large Provincial Tourism System in China[J]. SUSTAINABILITY,2026,18(7):3543. |
| APA | Liu, Fan,&Liu, Jiaming.(2026).What Do Online Reviews Reveal About Tourist Experience? A Diagnostic Framework for Sustainable Destination Management in a Large Provincial Tourism System in China.SUSTAINABILITY,18(7),3543. |
| MLA | Liu, Fan,et al."What Do Online Reviews Reveal About Tourist Experience? A Diagnostic Framework for Sustainable Destination Management in a Large Provincial Tourism System in China".SUSTAINABILITY 18.7(2026):3543. |
入库方式： OAI收割
来源：地理科学与资源研究所
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