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Dear Colleagues,

Smart tourism is an innovative type of tourism as it provides smart technology applications for tourists’ on-site experiences (i.e., AR, VR, MR, and intelligent guide systems); however, limited research exists on it.

Sustainable tourism requires us to understand the effects of all planning, development, and management on sustainability. This Special Issue aims to present a wide range of papers elucidating cutting-edge progress in sustainable smart tourism relevant to planning, development, management, and sustainability perspectives.

We welcome papers that develop state-of-the-art methods for assessing the cutting-edge progress in smart tourism, new frameworks for theoretical or practical implications, and approaches for monitoring economic, socio-cultural, or environmental perspectives with a view of smart tourism to promote sustainable tourism. This Special Issue will elucidate up-to-date, high-quality, international, multidisciplinary, and valuable insights to support smart tourism development, potentially contributing to the literature.

Original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

Artificial intelligence and tourism;
Augmented reality and tourism;
Concepts and theories in smart tourism;
Information and communication technology for tourism;
The impact of smart technologies on traditional tourism;
Mixed reality and tourism;
Smart tourism and service design;
Smart tourism and tourist behavior;
Smart tourism destinations;
Smart tourism experiences;
Sustainable smart tourism;
Technologies for designing smart tourism;
Virtual reality and tourism.

We look forward to receiving your contributions.

Prof. Dr. Tsung Hung Lee
Prof. Dr. Fen-Hauh Jan
Guest Editors

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
augmented reality
mixed reality
smart tourism
smart tourism business
smart tourism destination
smart tourism experience
smart tourist
sustainable smart tourism
virtual reality

Published Papers (2 papers)

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16 pages, 2803 KiB

Open AccessArticle

Rural Environmental Landscape Construction Based on Virtual Reality Technology

by Bowen Sun, Yanan Jiang, Yanyan Liu, Xue Wu and Qiang Liu

Sustainability 2023, 15(23), 16377; https://doi.org/10.3390/su152316377 - 28 Nov 2023

Viewed by 1028

Abstract

With the recent shift in public aesthetics, tourism agriculture, which combines tourism with modern agriculture, has become a new and popular form of tourism, exhibiting great potential. Internationally, tourism is known as a sunrise industry that will never decline because the benefits and impact introduced by tourism are not only limited to the industry itself but also the development of other fields. It stimulates the labor force by creating job vacancies, consumption, economic benefits, and opportunities for the surrounding areas. Therefore, paying attention to the development of tourism and focusing on the trending frontier issues of the industry are of practical value to the development of social economy and culture. Traditional forms of tourism develop economic value by focusing on people’s direct experiences at specific times and places. However, this approach is somewhat limited by time and space constraints, preventing the full exploitation of the economic and cultural value of tourism landscapes. In contrast, modern rural tourism models based on virtual environment modeling and virtual reality technology can address this issue, enhancing the development of rural tourism industries. Virtual environment modeling designs specific spatial environments and simulates internal elements, providing authenticity to environments and a sense of reality using textures. Virtual reality technology goes further in creating highly realistic virtual environments that are generated by computers, encompassing visual, auditory, linguistic, force, tactile, motion, and olfactory elements, and enabling natural interactions between various sensory devices of the operator and the landscape model. The combination of these two approaches offers a broader scope and more nuanced physical and mental experiences for the rural tourism industry. This paper explores the optimization role of virtual environment and environmental landscape modeling based on virtual reality technology in designing rural tourism landscapes. It examines the specific elements of optimization within this type of technology and, using algorithms, demonstrates that these methods provide a 15.73% optimization rate in the sightseeing process compared to traditional tourism models, making them widely applicable in the design of rural tourism landscape environments. Full article

(This article belongs to the Special Issue Progress in Sustainable Smart Tourism: Planning, Developing, Management and Sustainability)

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22 pages, 10868 KiB

Open AccessArticle

Hybrid Integrated Computing Algorithm for Sustainable Tourism

by Yuan-Hsun Liao, Po-Chun Chang and Hsiao-Hui Li

Sustainability 2023, 15(23), 16141; https://doi.org/10.3390/su152316141 - 21 Nov 2023

Viewed by 756

Abstract

To avoid destroying the natural environment, we can create tourist paths without disrupting ecological systems or rare places such as rainforests that contain endangered species. Likewise, in sustainable tourism, we should consider visiting national parks or national museums as a way to understand the core values and the meaning of that culture and environment more clearly. In this paper, we consider which points tourists need to avoid or visit for sustainable tourism. We designed an algorithm that can give a path to avoid certain points or to go to a preferred point. If this algorithm does not give any weight, it will give the shortest path from the start to the end, and it can decide which vertices to avoid or travel to. Moreover, it can be used to vary the weights of different positive or negative values to obtain a path to avoid a point or to reach a point. Compared to Dĳkstra’s algorithm, we can add a negative weight to the graph and still find the shortest path. In application, it can be used for path schedule decisions. We did not wave the large resources to calculate the walk length. In the usage scenario, users only need to provide the starting node, end node, avoidance point, and facing point to calculate the best path. This algorithm will give a good path for users. At the same time, users can use this algorithm to implement sustainable travel route planning, such as going to museums, avoiding rare environments, etc. So, this algorithm provides a new way to decide the best path. Finally, the experimental results show that the classic algorithms cannot avoid points. In real tourism, tourists can use this algorithm for travel planning to achieve sustainable tourism. Full article

(This article belongs to the Special Issue Progress in Sustainable Smart Tourism: Planning, Developing, Management and Sustainability)

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