EconPapers    
Economics at your fingertips  
 

Application of computer simulation technology in traditional building protection

Yanjun Wang and Ajmera Mohan Singh

Data and Metadata, 2025, vol. 4, 491

Abstract: Background: Computer simulation technology, especially virtual reality (VR) technology, offers an innovative solution for participating in architectural design by providing an immersive and interactive experiences. Aim: This research aims to provide the VR application for the protection of traditional buildings, focusing on how this technology can enhance stakeholder participation in the protection and preservation of historical structures. The aim is to evaluate the effectiveness of VR in facilitating a bottom-up approach to decision-making, thereby preserving cultural heritage. Method: To gather data, a random sample of 136 participants, including both local residents and architectural professionals, were engaged in VR simulations of renovation for traditional buildings. The VR environment presented two design schemes: one reflecting a traditional architectural style and the other featuring a modern approach. Participants interacted with both schemes using VR, and their feedback was collected through structured surveys. Statistical methods were employed to evaluate the quality of VR experiences and their impact on participant preferences and decision-making. Result: It indicate that VR technology significantly improves stakeholder engagement, with a majority of participants expressing a strong preference for traditional designs in terms of cultural protection. The immersive nature of VR was found to effectively replace traditional review methods, offering clearer insights into design intentions and facilitating informed decisions. Conclusion: VR technology proves to be a valuable tool in the protection of traditional buildings by enhancing participant engagement and supporting informed decision-making processes

Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:4:y:2025:i::p:491:id:1056294dm2025491

DOI: 10.56294/dm2025491

Access Statistics for this article

More articles in Data and Metadata from AG Editor
Bibliographic data for series maintained by Javier Gonzalez-Argote ().

 
Page updated 2025-09-21
Handle: RePEc:dbk:datame:v:4:y:2025:i::p:491:id:1056294dm2025491