Extensible Metaverse Implication for a Smart Tourism City

MakaleAçık Erişim
  • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
  • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar

Özet

The metaverse is an innovation that has created the recent phenomenon of new tourism experiences from a virtual reality of a smart tourism destination. However, the existing metaverse platform demonstrated that the technology is still difficult to develop, as the service provider did not disclose the internal mechanisms to developers, and it was a closed system, which could not use or share the user's data across platforms. The aim of this paper was to design and develop an open metaverse platform called the extensible metaverse, which would allow new developers to independently develop the capabilities of the metaverse system. The acquisition of this new technology was conducted through requirements analysis, then the analysis and design of the new system architecture, followed by the implementation, and the evaluation of the system by the users. The results found that the extended metaverse was divided into three tiers that created labels, characters, and virtual objects. Furthermore, the linking tier combined the 3D elements, and the deployment tier compiled the results of the link to use all three parts by using the Blender program, Godot Engine, and PHP + WebGL as their respective key mechanisms. This system was tested in Suphan Buri province, Thailand, which was evaluated by 428 users. The results of the metaverse satisfaction, created tourism experience, and overall satisfaction of the variation of the satisfaction of using the metaverse were 86.0%, 79.7%, and 92.9%, respectively. The relative Chi-square (chi(2)/df) of 1.253 indicated that the model was suitable. The comparative fit index (CFI) was 0.984, the goodness-of-fit index (GFI) was 0.998, and the model based on the research hypothesis was consistent with the empirical data. The root mean square error of approximation (RMSEA) was 0.024. In conclusion, the extended metaverse is more flexible than other platforms and also creates the user's satisfaction and tourism experience in the smart destination to support sustainable tourism.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/adakent/10097Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.3390/su142114027Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorSuanpang, Pannee
dc.contributor.authorNiamsorn, Chawalin
dc.contributor.authorPothipassa, Pattanaphong
dc.contributor.authorChunhapataragul, Thinnagorn
dc.contributor.authorNetwong, Titiya
dc.contributor.authorJermsittiparsert, Kittisak
dc.date.accessioned2026-10-21T19:31:02.755021402Z
dc.date.available2026-10-21T19:31:02.755021402Z
dc.date.issued2022-11
dc.description.abstractThe metaverse is an innovation that has created the recent phenomenon of new tourism experiences from a virtual reality of a smart tourism destination. However, the existing metaverse platform demonstrated that the technology is still difficult to develop, as the service provider did not disclose the internal mechanisms to developers, and it was a closed system, which could not use or share the user's data across platforms. The aim of this paper was to design and develop an open metaverse platform called the extensible metaverse, which would allow new developers to independently develop the capabilities of the metaverse system. The acquisition of this new technology was conducted through requirements analysis, then the analysis and design of the new system architecture, followed by the implementation, and the evaluation of the system by the users. The results found that the extended metaverse was divided into three tiers that created labels, characters, and virtual objects. Furthermore, the linking tier combined the 3D elements, and the deployment tier compiled the results of the link to use all three parts by using the Blender program, Godot Engine, and PHP + WebGL as their respective key mechanisms. This system was tested in Suphan Buri province, Thailand, which was evaluated by 428 users. The results of the metaverse satisfaction, created tourism experience, and overall satisfaction of the variation of the satisfaction of using the metaverse were 86.0%, 79.7%, and 92.9%, respectively. The relative Chi-square (chi(2)/df) of 1.253 indicated that the model was suitable. The comparative fit index (CFI) was 0.984, the goodness-of-fit index (GFI) was 0.998, and the model based on the research hypothesis was consistent with the empirical data. The root mean square error of approximation (RMSEA) was 0.024. In conclusion, the extended metaverse is more flexible than other platforms and also creates the user's satisfaction and tourism experience in the smart destination to support sustainable tourism.
dc.description.sponsorshipSuan Dusit University under the Ministry of Higher Education, Science, Research and Innovation, Thailand
dc.description.sponsorshipInnovation of Smart Tourism to Promote Tourism in Suphan Buri Province [65-FF-003]
dc.identifier.articlenumber14027
dc.identifier.doi10.3390/su142114027
dc.identifier.eissn2071-1050
dc.identifier.issue21
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/adakent/10097
dc.identifier.volume14
dc.identifier.wosWOS:000882211200001
dc.language.isoen
dc.publisherMDPI
dc.relation.ispartofSUSTAINABILITY
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectextensible metaverse
dc.subjectsmart tourism
dc.subjecttourism intention
dc.subjectvirtual reality
dc.subject.classificationGreen & Sustainable Science & Technology
dc.subject.classificationEnvironmental Sciences
dc.subject.classificationEnvironmental Studies
dc.subject.classificationScience & Technology - Other Topics
dc.subject.classificationEnvironmental Sciences & Ecology
dc.subject.otherVISUALIZATION
dc.titleExtensible Metaverse Implication for a Smart Tourism City
dc.typeArticle
dspace.entity.typePublication
rdl.citation.openalex121
rdl.citation.wos68
rdl.oa.statusgold
rdl.oa.urlhttps://www.mdpi.com/2071-1050/14/21/14027/pdf?version=1666945951
rdl.sdgSDG11
rdl.sdgSDG09
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)
rdl.wos.indexSocial Science Citation Index (SSCI)