大数据应用视角下旅游流国际研究的进展与展望

doi:10.12054/lydk.bisu.224

旅游导刊 ›› 2023, Vol. 7 ›› Issue (3): 78-97.DOI: 10.12054/lydk.bisu.224

• 综述论文 • 上一篇

大数据应用视角下旅游流国际研究的进展与展望

朱鹤¹^,²(), 龙江智³, 刘家明¹^,², 张书颖¹, 林诗然¹^,²

1.中国科学院地理科学与资源研究所北京 100101
2.中国科学院大学资源与环境学院北京 100190
3.东北财经大学旅游与酒店管理学院辽宁大连 116025

收稿日期:2022-06-22 修回日期:2023-03-30 出版日期:2023-06-30 发布日期:2023-07-21
通讯作者: 朱鹤（1989— ），女，山东济南人，中国科学院地理科学与资源研究所副研究员，硕士生导师，中国科学院大学资源与环境学院岗位聘用教师，研究方向：旅游与社会文化地理。E-mail：zhuhe@igsnrr.ac.cn
作者简介:龙江智（1974— ），男，湖南凤凰人，东北财经大学旅游与酒店管理学院副教授，硕士生导师，研究方向：旅游地理和旅游休闲理论。
刘家明（1966— ），男，河南信阳人，中国科学院地理科学与资源研究所研究员，博士生导师，中国科学院大学资源与环境学院岗位聘用教师，研究方向：旅游地理与旅游规划。
张书颖（1991— ），女，河北保定人，中国科学院地理科学与资源研究所助理研究员，研究方向：遗产旅游与文化旅游。
林诗然（2000— ），女，云南曲靖人，中国科学院地理科学与资源研究所、中国科学院大学资源与环境学院硕士研究生，研究方向：旅游地理。
基金资助:
国家自然科学基金面上项目“城市旅游休闲街区主客共享特征、机制与优化”(42271248)

Progress and Prospects of International Research on Tourism Flow from the Perspective of Big Data Application

ZHU He¹^,²(), LONG Jiangzhi³, LIU Jiaming¹^,², ZHANG Shuying¹, LIN Shiran¹^,²

1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2. College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
3. School of Tourism and Hotel Management, Dongbei University of Finance & Economics, Dalian 116025, China

Received:2022-06-22 Revised:2023-03-30 Online:2023-06-30 Published:2023-07-21

摘要/Abstract

摘要：

旅游流是旅游研究的重点领域。当前，应用大数据技术对旅游流进行研究渐成趋势。本研究面向大数据应用视角下的旅游流研究前沿，以国际学术期刊发表的相关论文为研究对象，总结相关领域的研究进展，并提出研究展望。分析发现：（1）自2013年来，大数据应用视角下的旅游流研究呈快速发展态势，涉及旅游、管理、经济、信息技术等多个领域，成果呈多元化发展趋势。（2）基于关键词共现性网络分析，旅游流研究可划分为5个凝聚子集；研究主题方面，相关成果主要聚焦于旅游流的测量与刻画、旅游流的时空格局与效应、旅游流的影响因素及预测研究；应用数据方面，用户生成数据、设备数据、管理数据为主要数据源；研究方法方面，空间统计和分析法、网络分析法、模型构建法以及不同研究方法的交互融合是主要研究手段。（3）现有研究成果在主题、数据和方法等方面尚存在发展不平衡性，未来在研究主题拓展、大小数据融合、多学科方法集成等方面亟待继续探索和深化。

关键词: 大数据; 旅游流; 国际; 研究进展

Abstract:

Tourism flow is one of the main focuses of tourism research. The application of big data technology to tourism flow research is gradually becoming a trend. This study aims to understand the state-of-the-art tourism flow research from the perspective of big data application. We selected articles published in international academic journals as the research objects, summarized the research progress in relevant fields, and proposed research prospects. The analysis indicates that (1) since 2013, research on tourism flow, from the perspective of big data application, has shown a rapid development trend. Relevant research involves tourism, management, economy, information technology, and other fields with a development trend of diversified achievements. (2) based on keyword co-occurrence network analysis, it was divided into five condensed subsets. In terms of research themes, we found that achievements mainly focused on the measurement and characterization of tourism flow, the spatiotemporal pattern and effects of tourism flow, influencing factors, and prediction of tourism flow. In terms of application data, user-generated equipment and management data were the main data sources for analysis. The main methods included spatial statistics and analysis, network analysis, model construction, and interactive integration of different research methods. (3) existing research results show an imbalance in terms of themes, data, and methods. In the future, it is urgent to continue to explore and deepen the expansion of research themes, the fusion of big and small data, and the integration of multidisciplinary methods.

Keywords: big data; tourist flow; international; research progress

中图分类号:

朱鹤, 龙江智, 刘家明, 张书颖, 林诗然. 大数据应用视角下旅游流国际研究的进展与展望[J]. 旅游导刊, 2023, 7(3): 78-97.

ZHU He, LONG Jiangzhi, LIU Jiaming, ZHANG Shuying, LIN Shiran. Progress and Prospects of International Research on Tourism Flow from the Perspective of Big Data Application[J]. Tourism and Hospitality Prospects, 2023, 7(3): 78-97.

图/表 5

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期刊 Journal	数量/ 篇 Quantity	占比/ % Percentage
Tourism Management	10	11.90
Sustainability	10	11.90
ISPRS International Journal of Geo-Information	5	5.95
Asia Pacific Journal of Tourism Research	4	4.76
Journal of Travel Research	3	3.57
Tourism Economics	3	3.57
Annals of Tourism Research	2	2.38
Current Issues in Tourism	2	2.38
Growth and Change	2	2.38
Information Technology & Tourism	2	2.38
Maritime Economics & Logistics	2	2.38

期刊 Journal	数量/ 篇 Quantity	占比/ % Percentage
Tourism Management	10	11.90
Sustainability	10	11.90
ISPRS International Journal of Geo-Information	5	5.95
Asia Pacific Journal of Tourism Research	4	4.76
Journal of Travel Research	3	3.57
Tourism Economics	3	3.57
Annals of Tourism Research	2	2.38
Current Issues in Tourism	2	2.38
Growth and Change	2	2.38
Information Technology & Tourism	2	2.38
Maritime Economics & Logistics	2	2.38

姓名 Name	单位 Workplace	数量/篇 Quantity
Park Sangwon	香港理工大学酒店及旅游管理学院	5
Jin Cheng	南京师范大学地理科学学院	3
Cvelbar Ljubica Knezevic	卢布尔雅那大学经济与商业学院	2
Liu Peixue	南京大学地理与海洋科学学院	2
Marcheggiani Ernesto	马尔凯理工大学	2
Shi Wenzhong	香港理工大学土地测量与地理信息学系智慧城市研究所	2
Su Mingzhan	中国人民解放军战略支援部队信息工程大学地理空间信息研究所	2
Vavpotic Damjan	卢布尔雅那大学信息技术研究所	2
Xu Jing	南京晓庄学院旅游与社会管理学院	2
Zhang Honglei	南京大学地理与海洋科学学院	2
Zhang Jie	南京大学地理与海洋科学学院	2
Zhou Xiao	中国科学院成都计算机应用研究所	2

姓名 Name	单位 Workplace	数量/篇 Quantity
Park Sangwon	香港理工大学酒店及旅游管理学院	5
Jin Cheng	南京师范大学地理科学学院	3
Cvelbar Ljubica Knezevic	卢布尔雅那大学经济与商业学院	2
Liu Peixue	南京大学地理与海洋科学学院	2
Marcheggiani Ernesto	马尔凯理工大学	2
Shi Wenzhong	香港理工大学土地测量与地理信息学系智慧城市研究所	2
Su Mingzhan	中国人民解放军战略支援部队信息工程大学地理空间信息研究所	2
Vavpotic Damjan	卢布尔雅那大学信息技术研究所	2
Xu Jing	南京晓庄学院旅游与社会管理学院	2
Zhang Honglei	南京大学地理与海洋科学学院	2
Zhang Jie	南京大学地理与海洋科学学院	2
Zhou Xiao	中国科学院成都计算机应用研究所	2

大数据应用视角下旅游流国际研究的进展与展望

Progress and Prospects of International Research on Tourism Flow from the Perspective of Big Data Application

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