Cited by 405Diverse Aspects of Tourism ResearchClimate Change Communication and Perceptionscientometrics and bibliometrics research

Climate change and tourism: a scientometric analysis using CiteSpace

Fang, Yan, Yin, Jie, Wu, Bihu·2018·Journal of Sustainable Tourism

Abstract

The interaction between climate change and tourism has been one of the most critical and dynamic research areas in the field of sustainable tourism in recent years. In this paper, a scientometric analysis of 976 academic publications between 1990 and 2015 related to climate change and tourism is presented to characterize the intellectual landscape by identifying and visualizing the evolution of the collaboration network, the co-citation network, and emerging trends. The results show that the number of publications in this field has increased rapidly and it has become an increasingly interdisciplinary research subject. The most productive authors and institutions in this subject area are in Australia, USA, Canada, New Zealand, and European countries. In this paper, we identify the most pressing topics of climate change and tourism research, as represented in the existing literature, which include the consequences of climate change for tourism, necessary adaptations, the vulnerability of the tourism industry, tourist behaviour and demand in response to climate change, and emission reductions in the tourism sector. The paper presents an in-depth analysis of climate change and tourism research to better understand global trends and directions in this field that have emerged over the past 25 years.

Integrity signals

Registry

Crossref · 10.1080/09669582.2017.1329310

Cites

90 of 90 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Co-citation patterns and frequency help identify knowledge domains since higher co-citation frequencies between two publications suggest stronger relationships, uniformity of references and collective knowledge.

    “Co-citation patterns and frequency help identify knowledge domains since higher co-citation frequencies between two publications suggest stronger relationships, uniformity of references and collective knowledge (Fang et al. 2018).”

    From Blockchain technology in the smart city: A bibliometric review (2022) · cites this paper as Fang et al. 2018

Cites

Flagged first, then by citations

3 of the 93 references couldn’t be matched to a known paper.

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Authors
Fang, Y., Yin, J., & Wu, B.
Affiliations
  • International Center for Recreation and Tourism Research, College of Urban and Environmental Sciences, Peking University, Beijing, China
  • East China Normal University (CN)
  • Peking University (CN)
Corresponding author
Wu, Bihu
Venue
Journal of Sustainable Tourism
Published
2017-05-30
Volume
26
Issue
1
Pages
108-126
ISSN
  • 0966-9582 (ISSN-L)
  • 1747-7646
OpenAlex
W2620402730
Cited by
405
References
93
Citations by year
2026: 31 · 2025: 30 · 2024: 67 · 2023: 72 · 2022: 65 · 2021: 59 · 2020: 46 · 2019: 22 · 2018: 10 · 2017: 3
FWCI
56.73
Type
journal article
Language
en
Open access
closed
Locations
Journal of Sustainable Tourism (publishedVersion)
Funders
National Natural Science Foundation of China (41271151)
Topics
  • Social Sciences › Sociology and Political Science › Diverse Aspects of Tourism Research
  • Social Sciences › Sociology and Political Science › Climate Change Communication and Perception
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
Keywords
climate change, tourism, sustainable tourism, climate change impacts on tourism, tourism adaptation, tourism vulnerability, tourist behavior, research trends, collaboration networks, co-citation networks

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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