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Natural Resource Management and Sustainable Tourism
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Natural Resource Management and Sustainable Tourism

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Tourism, Culture, and Heritage".

Deadline for manuscript submissions: 9 February 2025 | Viewed by 4408

Special Issue Editor

Dr. Won-seok Lee

E-Mail Website
Guest Editor
Department of Tourism and Recreation, Kyonggi University, Seoul, Republic of Korea
Interests: tourism economics; tourism development
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Due to various changes in the environment surrounding tourism, including the pandemic, the development of AI, and so on, strategies for maximizing the efficiency of corporate management or individual selective behaviors are also changing in line with environmental changes. Thus, this Special Issue aims to discuss issues of management and economics in the tourism industry that can cope with current changes in tourism environments. Potential issues include ‘green growth management in tourism’, ‘technology in tourism’, ‘climate change and management’, and so on. That is, research that takes a management or economic approach to study a tourism topic that has recently become an issue will be highly relevant to this Special Issue.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Artificial intelligence;
  • Climate change;
  • Smart tourism;
  • Tourism resource management.

I look forward to receiving your contributions.

Dr. Won-seok Lee
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • climate change
  • smart tourism
  • tourism resource management
  • sustainable tourism

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (4 papers)

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Research

19 pages, 1409 KiB  
Article
The Suitability of Developing Ecotourism in the Shanxi Area of Taihangshan National Park, a Candidate Area for National Parks in China
by Qianying Zhu, Zhongjun Wang and Mohammad Umer
Sustainability 2025, 17(3), 841; https://doi.org/10.3390/su17030841 - 21 Jan 2025
Viewed by 535
Abstract
Ecotourism is increasingly recognized as a vital component of sustainable development within national parks, yet its potential within China’s emerging national park system remains underexplored. Focusing on the Shanxi Province section of the Taihang Mountain National Park—a candidate area designated in December 2022—this [...] Read more.
Ecotourism is increasingly recognized as a vital component of sustainable development within national parks, yet its potential within China’s emerging national park system remains underexplored. Focusing on the Shanxi Province section of the Taihang Mountain National Park—a candidate area designated in December 2022—this study addresses the critical questions of whether and how to develop ecotourism tailored to this region’s unique environmental and cultural characteristics. To address these issues, a mixed-method approach integrating quantitative and qualitative analyses was employed to conduct a comprehensive assessment of the area’s tourism resources and market potential. A statistical analysis of its ecotourism resources and a high-frequency word cloud analysis of online travelogues revealed that the region possesses significant potential for ecotourism development. These findings provide actionable strategies, including fostering gateway communities, improving infrastructure, and enhancing tourism services, while emphasizing the importance of community involvement, low-carbon practices, and sector diversification. This study not only advances our theoretical understanding of ecotourism by highlighting the role of gateway communities and the balance between conservation and tourism growth but also offers practical insights for the sustainable development of China’s national parks. Full article
(This article belongs to the Special Issue Natural Resource Management and Sustainable Tourism)
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17 pages, 380 KiB  
Article
A Phenomenological Study on the Experience of Searching for Tourism Information Following the Emergence of ChatGPT: Focused on the Uncanny Valley Theory
by Jin-Hee Jin and Jin-Seok Han
Sustainability 2025, 17(1), 355; https://doi.org/10.3390/su17010355 - 6 Jan 2025
Viewed by 620
Abstract
The purpose of this study is to provide an understanding of the experience of searching for tourism information through ChatGPT and discover the meaning of it. In order to achieve this purpose, data collection was conducted through in-depth interviews, and data analysis was [...] Read more.
The purpose of this study is to provide an understanding of the experience of searching for tourism information through ChatGPT and discover the meaning of it. In order to achieve this purpose, data collection was conducted through in-depth interviews, and data analysis was conducted according to Giorgi. As a result, eight themes, 27 meaning units, and 226 meaningful statements were derived. First, the participants were found to partially trust tourism information searched through it and perceive it as a personal AI travel agent. In addition, they were found to be satisfied with it as their primary tool of searching for tourism information and perceived it as an AI travel mate in all processes of tourism. On the one hand, they were found to be disappointed that it still felt like a machine. Second, they were found to feel ambivalent about it and experience better moments with it than with humans. Moreover, they were found to feel enjoyment in the process of learning about it. This study discovered the meaning of experience in searching for tourism information through it, laid the foundation for follow-up research related to it, and presented the possibility of expanding the application of it in the tourism industry. Full article
(This article belongs to the Special Issue Natural Resource Management and Sustainable Tourism)
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17 pages, 284 KiB  
Article
Exploring Smart Airports’ Information Service Technology for Sustainability: Integration of the Delphi and Kano Approaches
by Sooyoung Choi, Chaeyoung Moon, Keunjae Lee, Xinwei Su, Jinsoo Hwang and Insin Kim
Sustainability 2024, 16(20), 8958; https://doi.org/10.3390/su16208958 - 16 Oct 2024
Viewed by 1383
Abstract
Airport digitalization has revolutionized service delivery at passenger touchpoints, which leads to sustainable passenger loyalty. However, it is critical to determine whether this rapid transition to digital services genuinely enhances passenger satisfaction with airport services. This study uses a mixed-method approach to identify [...] Read more.
Airport digitalization has revolutionized service delivery at passenger touchpoints, which leads to sustainable passenger loyalty. However, it is critical to determine whether this rapid transition to digital services genuinely enhances passenger satisfaction with airport services. This study uses a mixed-method approach to identify key traditional and technology-driven information services in smart airports. The specific aim is to determine the optimal balance in which digital technologies can effectively replace human-provided services to establish sustainable passenger loyalty. Two rounds of Delphi surveys were conducted with panels of 23 and 21 experts, followed by an online Kano survey with 401 international passengers. The Delphi analysis identified 16 key information service attributes, while the Kano analysis revealed that the majority of technology-based services were attractive and positively influenced passenger satisfaction. By contrast, human-based services were mostly indifferent, although some were vital for boosting satisfaction and preventing dissatisfaction. These results advance the current airport service research and provide practical insights into optimizing passenger experiences through the strategic integration of technology for sustainable smart airports while maintaining essential human-provided services. Full article
(This article belongs to the Special Issue Natural Resource Management and Sustainable Tourism)
11 pages, 600 KiB  
Article
A Study on the Revenge Travel Intention in the Endemic Era: Using the Theory of Planned Behavior and Heuristic Cues
by Wonseok Lee, Yeseul Park and Hyunsook Han
Sustainability 2024, 16(15), 6577; https://doi.org/10.3390/su16156577 - 31 Jul 2024
Viewed by 1233
Abstract
This study aimed to demonstrate the effect of negative emotions elicited by COVID-19 on the revenge consumption of international travel through both rational and irrational buying intentions. The theory of planned behavior and heuristic cues were used to explain revenge consumption in terms [...] Read more.
This study aimed to demonstrate the effect of negative emotions elicited by COVID-19 on the revenge consumption of international travel through both rational and irrational buying intentions. The theory of planned behavior and heuristic cues were used to explain revenge consumption in terms of rational and irrational buying intentions, respectively. A survey was conducted using MTURK from 31 May 2023 to 2 June 2023 among adults who experienced COVID-19. A structural equation model (SEM) was used to test the hypotheses, and the Hayes PROCESS macro was used to test the mediation effect. The results revealed that negative emotions due to COVID-19 affected irrational buying intentions, but not rational buying intentions, and that both irrational and rational buying intentions significantly affected revenge consumption intentions for international travel. In addition, irrational buying intentions affected rational buying intentions. These results indicate that when making an international travel decision due to negative emotions caused by COVID-19, an irrational decision process was employed, whereas later, at the travel reservation and planning stage, individuals consumed and planned travel based on rational intentions. The significance of this study lies in the fact that it illuminates the phenomenon of revenge consumption following disasters such as pandemics. Full article
(This article belongs to the Special Issue Natural Resource Management and Sustainable Tourism)
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