The DOI matches its Crossref record; 90 of the 93 references it cites were found in a registry or an index.
Climate change and tourism: a scientometric analysis using CiteSpace
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“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
Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
Climate Change 2007: Impacts, Adaptation and Vulnerability
Parry, M. L., Canziani, O. F., Palutikof, J. P., van der Linden, P., & Hanson, C. (2007) · Centre for Environmental Data Analysis Digital Repository (Centre for Environmental Data Analysis) · doi:10.5281/zenodo.7356334 · Cited by 9,138
Chen, C. (2005) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20317 · Cited by 6,820
(2013) · Cited by 6,752
Co‐citation in the scientific literature: A new measure of the relationship between two documents
Small, H. (1973) · Journal of the American Society for Information Science · doi:10.1002/asi.4630240406 · Cited by 5,345
Maximum likelihood estimation from incomplete data via the EM algorithm
Dempster, A. P. (1977) · Journal of the Royal Statistical Society Series A (Statistics in Society) · Cited by 4,543
Searching for intellectual turning points: progressive knowledge domain visualization
Chen, C. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307513100 · Cited by 2,791
Emerging trends in regenerative medicine: a scientometric analysis inCiteSpace
Chen, C., Hu, Z., Liu, S., & Tseng, H. (2012) · Expert Opinion on Biological Therapy · doi:10.1517/14712598.2012.674507 · Cited by 1,413
Applications of a universal thermal index: physiological equivalent temperature
Matzarakis, A., Mayer, H., & Iziomon, M. G. (1999) · International Journal of Biometeorology · doi:10.1007/s004840050119 · Cited by 1,269
Research works printed but not linked: 6
- Burton R., 1995, Travel geography
- Ceron J.P., 2007, Tourism & Hospitality, 4, 191
- IPCC, 2014, Climate change 2014: Impacts, adaptation, and vulnerability. Part A: Global and sectoral aspects
- König U., 1998, Tourism in a warmer world: Implications of climate change due to enhanced greenhouse effect for the ski industry in the Australian Alps
- Scott D., 2012, Wiley Interdisciplinary Reviews, 3, 213
- Sgouridis S., 2011, Transportation Research Part A, 45, 1077
Cited by
Sorted by citations
Global tourism vulnerability to climate change
Scott, D. J., Hall, C. M., & Gößling, S. (2019) · Annals of Tourism Research · doi:10.1016/j.annals.2019.05.007 · Cited by 576
“As the body of climate change and tourism research continues to grow (see Fang, Yin, & Wu, 2017), the ability to compare tourism regions around the world on speci fi c climate change impacts will become increasingly possible.”
BackgroundA critical review of climate change risk for ski tourism
Steiger, R., Scott, D. J., Abegg, B., Pons, M., & Aall, C. (2017) · Current Issues in Tourism · doi:10.1080/13683500.2017.1410110 · Cited by 496
Kai, J., & Ashworth, P. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.110521 · Cited by 312
Supply chain digitalization: past, present and future
Seyedghorban, Z., Tahernejad, H., Meriton, R., & Graham, G. (2019) · Production Planning & Control · doi:10.1080/09537287.2019.1631461 · Cited by 293
“A bigger node shows a higher combined co-citation for that node; while a thicker link between two nodes indicates high co-citation frequency for those two nodes (Chen 2006; Fang, Yin, and Wu 2018).”
BackgroundClimate change, coastal tourism, and impact chains – a literature review
Arabadzhyan, A., Figini, P., García, C., Hernández, M. M. G., Lam-González, Y. E., & León, C. J. (2020) · Current Issues in Tourism · doi:10.1080/13683500.2020.1825351 · Cited by 279
Metadata
- 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
- ORCID
- Yin, Jie
- Venue
- Journal of Sustainable Tourism
- Publisher
- Informa UK Limited
- 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 › Business, Management and Accounting › Tourism, Leisure and Hospitality Management › Diverse Aspects of Tourism Research
- Social Sciences › Sociology and Political Science › Climate Change Communication and Perception
- Social Sciences › Library and Information Sciences › 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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
