基于Web of Science的旅游风险研究进展

doi:10.18402/resci.2021.05.16

资源科学 ›› 2021, Vol. 43 ›› Issue (5): 1038-1050.doi: 10.18402/resci.2021.05.16

基于Web of Science的旅游风险研究进展

石勇¹^,²(), 姚前³, 王文华³, 席建超²(), 张飞⁴

1.上海体育学院经济管理学院,上海 200438
2.中国科学院地理科学与资源研究所,北京 100101
3.郑州大学旅游管理学院,郑州 450001
4.河南省文化和旅游厅,郑州 450003

收稿日期:2019-09-04 修回日期:2021-01-25 出版日期:2021-05-25 发布日期:2021-07-25
通讯作者: 席建超,男,河南确山人,研究员,博士生导师,研究方向为城市与旅游风险管理。E-mail: xijc@igsnrr.ac.cn
作者简介:石勇,女,河南泌阳人,副教授,博士后,研究方向为城市与旅游风险管理。E-mail: shiyong@sus.edu.cn
基金资助:
国家自然科学基金项目(41601566);郑州大学研究生教改与质量提升工程及优质课程建设项目(YJSJY201931);郑州大学研究生教改与质量提升工程及优质课程建设项目(YJSJY201933)

Progress of tourism risk research based on data from the Web of Science

SHI Yong¹^,²(), YAO Qian³, WANG Wenhua³, XI Jianchao²(), ZHANG Fei⁴

1. Department of Economics and Management, Shanghai University of Sport, Shanghai 200438, China
2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
3. School of Tourism Management, Zhengzhou University, Zhengzhou 450001, China
4. Culture and Tourism Department of Henan Province, Zhengzhou 450003, China

Received:2019-09-04 Revised:2021-01-25 Online:2021-05-25 Published:2021-07-25

摘要/Abstract

摘要：

自2001年9/11事件起,包括非典、巴厘岛爆炸案、亚洲海啸等重大灾难事件极大地打击了世界旅游业,旅游风险问题日益凸显。以2001—2018年“Web of Science核心合集”中296篇与旅游风险研究高度相关论文为基础,对旅游风险研究现状及成果进行了系统性总结和梳理。研究发现：①旅游风险研究受到多学科的广泛关注,按照文献数量和研究热点可分为萌芽期（2001—2006年）、蓄势期（2007—2012年）和发展期（2013—2018年）3个阶段;②国际旅游风险研究在国家及地区层面上表现出“一超多强”的态势,“一超”为美国,处于合作网络中的中心地位,“多强”为澳大利亚、英国、中国（不含台湾地区）;③旅游风险研究方法种类丰富,主要涵盖了描述分析、访谈法、模型分析和统计分析4类;④旅游风险的相关研究成果主要集中在旅游风险内涵、游客风险、目的地风险、利益相关者风险、宏观背景下的旅游风险5方面。结合国外的研究经验,本文提出未来中国应就完善旅游风险理论体系、深化游客风险感知与行为研究主题、拓宽旅游目的地风险研究思路、重视社区居民在旅游风险管理中的作用、关注宏观背景下的旅游风险5方面加强研究,以促使研究体系完善和优化。

关键词: 旅游风险, 游客风险, 目的地风险, 利益相关者风险, Web of Science, CiteSpace

Abstract:

Since the 9/11 attack in 2001, a series of catastrophic events, such as the SARS outbreak, the Bali bombings, and the Indian Ocean tsunami, have stuck the tourism industry worldwide and the issue of tourism risks has become increasingly prominent. The purpose of this study is to present a comprehensive literature review about the extant research on tourism risk. This study systematically reviewed 296 relevant research articles and proceeding papers based on the Web of Science Core Collection database. The articles published during 2001-2018 were selected. The findings indicate that: (1) Tourism risk research has received extensive attention from multiple disciplines and can be categorized into three periods underlying the number of literature and research hotspots: the nascent period (2001-2006), the accumulation period (2007-2012), and the development period (2013-2018). (2) Tourism risk research is characterized by the trend of “one super actor and many strong actors” at the national and regional levels. The super actor refers to the United States at the center of the cooperative network, while the strong actors are Australia, the United Kingdom, and China (excluding Taiwan Province). (3) Research methods of tourism risk tend to be of high diversity, mainly covering four categories: descriptive analysis, interview, modeling, and statistical analysis. (4) The relevant research results of tourism risk mainly focus on five aspects of tourism risk connotation, tourist risk, destination risk, stakeholder risk, and tourism risk in macro context. The study proposed five directions of future research based on the current literature of tourism risk to facilitate the optimization of the research system: improving the theories of tourism risk, deepening the understanding of tourists’ risk perception and behavior, broadening research themes on destination risk management, emphasizing the role of community residents in tourism risk management, and paying attention to the tourism risk under the marco context of the global market.

Key words: tourism risk, tourist risk, destination risk, stakeholder risk, Web of Science, CiteSpace

石勇, 姚前, 王文华, 席建超, 张飞. 基于Web of Science的旅游风险研究进展[J]. 资源科学, 2021, 43(5): 1038-1050.

SHI Yong, YAO Qian, WANG Wenhua, XI Jianchao, ZHANG Fei. Progress of tourism risk research based on data from the Web of Science[J]. Resources Science, 2021, 43(5): 1038-1050.

图/表 4

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分类	研究方法	典型方法示例	主要应用方向
定性研究	描述分析	编码、分类	文献综述、政策研究、理论研究
定性研究	访谈法	结构化访谈、非结构化访谈	灾害风险感知、目的地风险管理、游客探险行为
定量研究	模型分析	结构方程模型、仿真模型、引力模型	安全风险评估、游客风险感知
定量研究	统计分析	空间统计、回归分析、聚类分析、文本分析	游客风险感知、风险因素识别、目的地风险评估

基于Web of Science的旅游风险研究进展

Progress of tourism risk research based on data from the Web of Science

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