EconPapers    
Economics at your fingertips  
 

A Conceptual Framework for Blockchain Enhanced Information Modeling for Healing and Therapeutic Design

Zhen Liu, Zulan Yang, Mingjie Liang, Yi Liu, Mohamed Osmani and Peter Demian
Additional contact information
Zhen Liu: School of Design, South China University of Technology, Guangzhou 510006, China
Zulan Yang: School of Design, South China University of Technology, Guangzhou 510006, China
Mingjie Liang: School of Design, South China University of Technology, Guangzhou 510006, China
Yi Liu: School of Innovation, Guangzhou Academy of Fine Arts, No. 257 Changgang Road, Guangzhou 510261, China
Mohamed Osmani: School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK
Peter Demian: School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK

IJERPH, 2022, vol. 19, issue 13, 1-27

Abstract: In the face of the health challenges caused by the COVID-19 pandemic, healing and therapeutic design (HTD) as interventions can help with improving people’s health. It is considered to have great potential to promote health in the forms of art, architecture, landscape, space, and environment. However, there are insufficient design approaches to address the challenges during the HTD process. An increased number of studies have shown that emerging information modeling (IM) such as building information modeling (BIM), landscape information modeling (LIM), and city information modeling (CIM) coupled with blockchain (BC) functionalities have the potential to enhance designers’ HTD by considering important design elements, namely design variables, design knowledge, and design decision. It can also address challenges during the design process, such as design changes, conflicts in design requirements, the lack of design evaluation tools and frameworks, and incomplete design information. Therefore, this paper aims to develop a conceptual BC enhanced IM for HTD (BC-HTD) framework that addresses the challenges in the HTD and promotes health and well-being. The structure of BC-HTD framework is twofold: (1) a conceptual high-level framework comprising three levels: user; system; and information, (2) a conceptual low-level framework of detailed content at the system level, which has been constructed using a mixed quantitative and qualitative method of literature analysis, and validated via a pre-interview questionnaire survey and follow-up interviews with industry experts and academics. This paper analyzes the process of BC enhanced HTD and the knowledge management of HTD to aid design decisions in managing design information. This paper is the first attempt to apply the advantages of BC enabled IM to enhance the HTD process. The results of this study can foster and propel new research pathways and knowledge on the value of design in the form of non-fungible token (NFT) based on the extended advantages of BC in the field of design, which can fully mobilize the healing and therapeutic behaviors of designers and the advantage potential of HTD to promote health, and realize the vision of Health Metaverse in the context of sustainable development.

Keywords: healing and therapeutic design; blockchain; building information modeling (BIM); landscape information modeling (LIM); city information modeling (CIM); art therapy; mental health; sustainable development; non-fungible token (NFT); Health Metaverse (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/13/8218/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/13/8218/ (text/html)

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:gam:jijerp:v:19:y:2022:i:13:p:8218-:d:856114

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jijerp:v:19:y:2022:i:13:p:8218-:d:856114