Skip to main content
Log in

Developing a WELL building model for office environments

  • Sustainable Earth Resources Engineering
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

Many reported cases of occupants in modern office buildings suffer from severe health risks, negative impacts on well-being, and productivity loss. Existing building standards often prioritize energy performance and green environments over human sustainability. Moreover, office buildings have a distinct group of occupants that require extra attention. Hence, the study aims to develop a WELL building model specifically for office buildings to support occupants’ well-being, health, and productivity (i.e., WELL). To achieve that objective, this study developed a list of physical indoor building features through a systematic literature review and semi-structured interviews. Then, the features were inserted into a survey and sent to office building occupants and built environment professionals. The collected data was analyzed using the analytic hierarchy process (AHP) and confirmatory factor analysis (CFA). The findings suggest twelve new features applicable for supporting WELL in office buildings: workspace privacy, sufficient space, office layout, cleanliness, efficiency in building services, individual control, building automation system, Information Technology (IT) infrastructure, Wireless Fidelity (WiFi) risk, security system, safety at parking lots, and safe design. Also, three new concepts for supporting WELL in office buildings were established: office space, building services and maintenance, and smart systems. The new concepts and features lay a foundation for designing office buildings that comprehensively target occupants’ WELL. Finally, this study is unique as it accentuates the development of a WELL building model specifically for office buildings.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1 
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions (e.g., anonymized data).

References    

Download references

Funding

This study was funded by Universiti Malaysia Pahang Al-Sultan Abdullah (RDU220333).

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study’s conception and design. Material preparation, data collection, and analysis were performed by Carmen Y. M. Tan, Rahimi A. Rahman, and Y. S. Lee. Carmen Y. M. Tan wrote the first draft of the manuscript, and all authors commented on previous versions. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Carmen Y. M. Tan.

Ethics declarations

Ethics approval

We confirmed that this manuscript has not been published elsewhere and is not under consideration by another journal. Ethical approval and informed consent are not applicable to this study.

Consent to participate

All authors agreed to submit the manuscript to Environmental Science and Pollution Research.

Consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Responsible Editor: Philippe Garrigues

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tan, C.Y.M., Rahman, R.A. & Lee, Y.S. Developing a WELL building model for office environments. Environ Sci Pollut Res (2024). https://doi.org/10.1007/s11356-024-31923-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11356-024-31923-z

Keywords

Navigation