Deep learning in tourism study: A systematic review and prospects

doi:10.3969/j.issn.1004-9479.2025.12.20240841

Abstract

Abstract:

The use of Deep Learning (DL) in tourism research has produced a considerable body of literature. This study discusses a literature evolution on DL in tourism research using systematic review and computational methods. Adopting Leiper's framework for the tourism system, we discovered that studies employing the DL technique in tourism fit into five groups and 10 themes. Each theme's topics were recognised. From the perspectives of study emphasis, data sources, specific DL models, and future goals, a comprehensive analysis was undertaken. This study presents a historical perspective and summarises the current understanding of DL used in tourism and combines China's market and social characteristics to look forward to the future application of DL in tourism research and practice. Additionally, it assists governments and practitioners in identifying new ways to derive value from DL and tourism big data.

Key words: deep learning, Leiper's tourism system model, tourism geography, systematic review, LDA model

摘要：

近年来，深度学习技术在旅游领域的应用日益增多，已积累了丰富的研究成果。鉴于此，本文通过系统性文献综述和运用LDA主题模型总结了旅游研究中深度学习相关文献的演变过程和发展轨迹。基于Leiper的旅游地理系统框架，本文将深度学习在旅游领域应用的相关文献归纳为5个重要领域和10个具体主题，对每个主题进行了深入分析，并总结其核心议题。文章从研究重点、数据来源、具体模型等多个维度对现有研究进行了全面回顾和评述，梳理了未来研究方向，结合中国国情，对深度学习技术未来在旅游研究和实践中的应用进行了展望。本综述有利于研究者加深对旅游业中深度学习技术应用的理解，并为政策制定者和旅游从业者提供深度学习技术和旅游大数据挖掘价值的新思路。

关键词: 深度学习, Leiper旅游系统模型, 旅游地理, LDA模型, 综述

Jiaqi LUO, Xianzhu JIN, Songshan HUANG, Lawrence Hoc Nang FONG. Deep learning in tourism study: A systematic review and prospects[J]. World Regional Studies, 2025, 34(12): 188-200.

罗佳琦, 金贤珠, 黄松山, 冯学能. 深度学习技术在旅游研究中应用的发展与展望[J]. 世界地理研究, 2025, 34(12): 188-200.

Figures/Tables 5

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五大类型	子主题	旅游类代表期刊	非旅游类期刊	计算机科学会议
游客 (n=32)	旅游体验分析(n=19)	Annals of Tourism Research Journal of Hospitality Marketing & Management	n=11	n=2
游客 (n=32)	游客行为分析(n=13)	Journal of Travel Research	n=8
客源市场(n=23)	游客发布照片内容挖掘 (n=23)	Tourism Management International Journal of Contemporary Hospitality Management	n=7	n=8
旅游通道(n=24)	线路推荐 (n=24)	Information Technology & Tourism Tourism Economics	n=20	n=4
目的地 (n=86)	目的地和酒店形象与营销 (n=31)	Tourism Review Journal of Quality Assurance in Hospitality & Tourism International Journal of Tourism Research	n=19
	目的地预测 (n=34)	Tourism Recreation Research Journal of Policy Research in Tourism, Leisure and Events	n=18
	目的地推荐系统（n=21）	Tourism Management	n=16	n=6
旅游产业(n=60)	酒店住客意见挖掘 (n=22)	International Journal of Hospitality Management	n=12	n=4
	酒店业预测 (n=23)	Journal of Hospitality and Tourism Technology International Journal of Hospitality Management	n=11
	旅游景区预测 (n=15)	Asia Pacific Journal of Tourism ResearchAnnals of Tourism Research	n=10

五大类型	子主题	旅游类代表期刊	非旅游类期刊	计算机科学会议
游客 (n=32)	旅游体验分析(n=19)	Annals of Tourism Research Journal of Hospitality Marketing & Management	n=11	n=2
游客 (n=32)	游客行为分析(n=13)	Journal of Travel Research	n=8
客源市场(n=23)	游客发布照片内容挖掘 (n=23)	Tourism Management International Journal of Contemporary Hospitality Management	n=7	n=8
旅游通道(n=24)	线路推荐 (n=24)	Information Technology & Tourism Tourism Economics	n=20	n=4
目的地 (n=86)	目的地和酒店形象与营销 (n=31)	Tourism Review Journal of Quality Assurance in Hospitality & Tourism International Journal of Tourism Research	n=19
	目的地预测 (n=34)	Tourism Recreation Research Journal of Policy Research in Tourism, Leisure and Events	n=18
	目的地推荐系统（n=21）	Tourism Management	n=16	n=6
旅游产业(n=60)	酒店住客意见挖掘 (n=22)	International Journal of Hospitality Management	n=12	n=4
	酒店业预测 (n=23)	Journal of Hospitality and Tourism Technology International Journal of Hospitality Management	n=11
	旅游景区预测 (n=15)	Asia Pacific Journal of Tourism ResearchAnnals of Tourism Research	n=10