Climate change and tourism in South and Central America

Navarro-Drazich, Diego; Christel, Lucas G.; Gerique, Andrés; Grimm, Isabel; Rendón, Maria-Luisa; Schlemer Alcântara, Liliane; Abraham, Yasmin; Conde, Maria del Rosario; De Simón, Cecilia

doi:10.1080/09669582.2023.2210783

Cited by 5 publications

(2 citation statements)

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“…It is believed that focus and attention have been evolving as the understanding of climate change has evolved across space and time [12][13][14]. The United Nations board is tasked with tackling climate change, the United Nations Framework Convention on Climate Change through the Intergovernmental Panel on Climate Change's annual Conference of Parties (COP), which shapes the global agenda surrounding the climate change agenda and debates.…”

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confidence: 99%

Evolving Narratives in Tourism and Climate Change Research: Trends, Gaps, and Future Directions

Dube

2024

Atmosphere

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This study presents a comprehensive overview of the evolving landscape of tourism and climate change research over the past decade by leveraging bibliometric analysis and a dataset sourced from the Scopus Database. The study scrutinised over 3400 English language articles. The analysis reveals a remarkable surge in publications, signifying the growing recognition of climate change’s multifaceted impact on tourism. However, a noteworthy geographical disparity emerges, with many regions remaining underrepresented in the literature, particularly in Africa and the Middle East. This oversight is concerning, given the vulnerability of these regions to climate change and their burgeoning tourism industries. The study also highlights the pivotal role of influential scholars, funding organisations, and publication outlets in shaping the research landscape. The European Commission and the National Natural Science Foundation of China are major funders. At the same time, journals like Sustainability and the Journal of Sustainable Tourism serve as prominent platforms for disseminating research findings. The analysis uncovers thematic trends, including the growing focus on climate change modelling and its implications for destination planning. However, research gaps persist, notably in sports tourism and climate resilience within the tourism sector. In conclusion, this study offers valuable insights into the current state of tourism and climate change research, pinpointing areas that demand increased attention and inclusivity. It is a valuable resource for scholars, policymakers, and stakeholders working towards a sustainable and resilient future for the global tourism industry in the face of climate change.

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Section: Introductionmentioning

confidence: 99%

Evolving Narratives in Tourism and Climate Change Research: Trends, Gaps, and Future Directions

Dube

2024

Atmosphere

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“…The impact of climate change on tourism has emerged as a pivotal subject warranting comprehensive scrutiny. The overarching issue lies in its profound alterations on natural landscapes and ecosystems, directly affecting tourist destinations worldwide [1]. Furthermore, the escalating frequency and intensity of extreme weather events exacerbate these changes, posing significant challenges to the sustainability and resilience of tourism activities [2].…”

Section: Introductionmentioning

confidence: 99%

Sentiment Classification of Climate Change and Tourism Content Using Support Vector Machine

Singgalen

2024

JoSYC

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This research aims to classify public sentiment regarding the issue of climate change and tourism. The research problem addressed in this study pertains to the classification of public sentiment concerning climate change within the tourism sector. Specifically, the study aims to explore and classify the public's sentiments regarding the impact of climate change on tourism activities.The methodology employed is CRISP-DM, which encompasses stages of business understanding, data understanding, modeling, evaluation, and deployment. Specifically, the SVM and SMOTE algorithms are utilized in the modeling stage to achieve optimal results. By leveraging this systematic approach and advanced algorithms, the study seeks to comprehensively analyze public sentiment towards climate change within the context of tourism, thus contributing valuable insights to academia and industry practitioners. Applying CRISP-DM methodology coupled with SVM and SMOTE algorithms enhances the rigor and effectiveness of sentiment analysis in addressing the complexities of climate change discourse in the tourism sector. The findings of this research demonstrate that the SVM and SMOTE algorithms yield promising results in sentiment classification, with an accuracy of 86.15% +/- 1.68% (micro average: 86.15%), precision of 85.17% +/- 2.16% (micro average: 85.11%) (positive class: Positive), recall of 87.64% +/- 3.39% (micro average: 87.64%) (positive class: Positive), f_measure of 86.34% +/- 1.79% (micro average: 86.35%) (positive class: Positive), and AUC of 0.923 +/- 0.012 (micro average: 0.923) (positive class: Positive). These metrics indicate the effectiveness and reliability of the SVM and SMOTE algorithms in accurately classifying sentiment toward climate change in the context of tourism. The high accuracy, precision, recall, f_measure, and AUC scores suggest that the models produced by these algorithms are robust and capable of capturing nuanced sentiment patterns, thereby contributing to the advancement of sentiment analysis techniques in climate change research within the tourism domain.

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