中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Assessing the reactions of tourist markets to reinstated travel restrictions in the destination during the post-COVID-19 phase

文献类型:期刊论文

作者Ma, Xuankai1,3,5,6; Ma, Rongxi1,5; Ma, Zijing3; Wang, Jingzhe2; Yang, Zhaoping1,4; Wang, Cuirong1,5; Han, Fang1,5
刊名SCIENTIFIC REPORTS
出版日期2024-07-05
卷号14期号:1页码:15495
关键词Tourism demand Post-COVID-19 Tourism crisis management Search engine data analysis Tourism resilience
DOI10.1038/s41598-024-66459-2
产权排序3
文献子类Article
英文摘要This study, leveraging search engine data, investigates the dynamics of China's domestic tourism markets in response to the August 2022 epidemic outbreak in Xinjiang. It focuses on understanding the reaction mechanisms of tourist-origin markets during destination crises in the post-pandemic phase. Notably, the research identifies a continuous rise in the potential tourism demand from tourist origin cities, despite the challenges posed by the epidemic. Further analysis uncovers a regional disparity in the growth of tourism demand, primarily influenced by the economic stratification of origin markets. Additionally, the study examines key tourism attractions such as Duku Road, highlighting its resilient competitive system, which consists of distinctive tourism experiences, economically robust tourist origins, diverse tourist markets, and spatial pattern stability driven by economic factors in source cities, illustrating an adaptive response to external challenges such as crises. The findings provide new insights into the dynamics of tourism demand, offering a foundation for developing strategies to bolster destination resilience and competitiveness in times of health crises.
WOS关键词RESILIENCE
WOS研究方向Science & Technology - Other Topics
WOS记录号WOS:001263443800013
源URL[http://ir.igsnrr.ac.cn/handle/311030/206063]  
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Yang, Zhaoping
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Shenzhen Polytech Univ, Sch Artificial Intelligence, Shenzhen 518055, Peoples R China
3.Xinjiang Univ, Coll Geog & Remote Sensing Sci, Urumqi 800046, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 818 Beijing South Rd, Urumqi 100101, Xinjiang, Peoples R China
5.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
6.Urumqi Urban Inst Geotech Invest Surveying & Mappi, Urumqi 830000, Peoples R China
推荐引用方式
GB/T 7714
Ma, Xuankai,Ma, Rongxi,Ma, Zijing,et al. Assessing the reactions of tourist markets to reinstated travel restrictions in the destination during the post-COVID-19 phase[J]. SCIENTIFIC REPORTS,2024,14(1):15495.
APA Ma, Xuankai.,Ma, Rongxi.,Ma, Zijing.,Wang, Jingzhe.,Yang, Zhaoping.,...&Han, Fang.(2024).Assessing the reactions of tourist markets to reinstated travel restrictions in the destination during the post-COVID-19 phase.SCIENTIFIC REPORTS,14(1),15495.
MLA Ma, Xuankai,et al."Assessing the reactions of tourist markets to reinstated travel restrictions in the destination during the post-COVID-19 phase".SCIENTIFIC REPORTS 14.1(2024):15495.

入库方式: OAI收割

来源:地理科学与资源研究所

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