Evidence map›Paper›PMID 38969709›Full record

ArticleScientific reports2024

Assessing the reactions of tourist markets to reinstated travel restrictions in the destination during the post-COVID-19 phase.

Xuankai Ma, Rongxi Ma, Zijing Ma, Jingzhe Wang, Zhaoping Yang, Cuirong Wang, Fang Han

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xuankai MaUrumqi Urban Institute of Geotechnical Investigation Surveying and Mapping, Urumqi, 830000, China.
Rongxi MaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China.
Zijing MaCollege of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, 800046, China.
Jingzhe WangSchool of Artificial Intelligence, Shenzhen Polytechnic University, Shenzhen, 518055, China.
Zhaoping YangInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, No. 818, Beijing South Road, Urumqi, 100101, Xinjiang, China. yangzp@ms.xjb.ac.cn.
Cuirong WangState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China.
Fang HanState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China.

Funding

Basic Research Program of Shenzhen 20220811173316001Guangdong Basic and Applied Basic Research Foundation 2023A1515011273Specific Innovation Program of the department of Education of Guangdong Province 2023KTSCX315Xinjiang Major Science & Technology Projects No. 2022A03002Xinjiang Social Science Foundation Projects No. 2022VZJ028
6 · The paper itself

Abstract

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.

Indexed as

COVID-19TourismTravelChinaCitiesHumansPandemicsSARS-CoV-2Post-COVID-19Search engine data analysisTourism crisis managementTourism demandTourism resilience

Identifiers

PMID38969709
PMCPMC11226617

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.