IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i15p9538-d879423.html
   My bibliography  Save this article

Post-Occupancy Evaluation of Green Technologies for a High-Rise Building Based on User Experience

Author

Listed:
  • Changqing Ye

    (The Architectural Design & Research Institute of Zhejiang University Co., Ltd., Hangzhou 310058, China
    Center for Balance Architecture, Zhejiang University, Hangzhou 310058, China)

  • Linfeng Yao

    (Center for Balance Architecture, Zhejiang University, Hangzhou 310058, China
    College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Yuan Meng

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Yu Zhang

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Guoqing He

    (Center for Balance Architecture, Zhejiang University, Hangzhou 310058, China
    College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

Abstract

Post-occupancy evaluations of buildings help us understand the effectiveness of building designs. Most of such evaluations focus on the overall building performance and on the indoor air environment, and few focus on individual technologies. In this paper, we report a user experience-based evaluation on multiple green technologies applied in a high-rise building constructed 17 years ago. These technologies include a circular building design, innovative floor plans, a corridor-type, double-skin facade with cavity shading, and three-dimensional greening design. Data were obtained through a questionnaire for the building occupants and on-site measurements of environmental variables. The results show that the occupants were most satisfied with the three-dimensional greening, natural lighting and ventilation in the public spaces, and the sound and thermal environment of the rooms with the double facade. They were not satisfied with room ventilation, solar shading, or lighting adjustment provided by the double facade. In addition, the aesthetic appearance of the circular building was not recognized by the occupants, who appeared to pay more attention to its space efficiency than the external appearance. This was true especially for older occupants. The users expressed a strong demand for outdoor leisure spaces and green vegetation. However, the practicality and functionality of three-dimensional greening, along with the interference of the glass curtain wall on vegetation growth, calls for more attention to the design. The female occupants were found to be more sensitive to the thermal and acoustic environment. Based on these results, we provide recommendations on the maintenance of the building and the future design of these measures.

Suggested Citation

  • Changqing Ye & Linfeng Yao & Yuan Meng & Yu Zhang & Guoqing He, 2022. "Post-Occupancy Evaluation of Green Technologies for a High-Rise Building Based on User Experience," Sustainability, MDPI, vol. 14(15), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9538-:d:879423
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/15/9538/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/15/9538/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wei Wang & Shoujian Zhang & Yikun Su & Xinyang Deng, 2018. "Key Factors to Green Building Technologies Adoption in Developing Countries: The Perspective of Chinese Designers," Sustainability, MDPI, vol. 10(11), pages 1-22, November.
    2. Robert J. Boik, 2003. "Principal component models for correlation matrices," Biometrika, Biometrika Trust, vol. 90(3), pages 679-701, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pourahmadi, Mohsen & Daniels, Michael J. & Park, Trevor, 2007. "Simultaneous modelling of the Cholesky decomposition of several covariance matrices," Journal of Multivariate Analysis, Elsevier, vol. 98(3), pages 568-587, March.
    2. Wei Wang & Shoujian Zhang & Yikun Su & Xinyang Deng, 2019. "An Empirical Analysis of the Factors Affecting the Adoption and Diffusion of GBTS in the Construction Market," Sustainability, MDPI, vol. 11(6), pages 1-24, March.
    3. Zongliang Hu & Zhishui Hu & Kai Dong & Tiejun Tong & Yuedong Wang, 2021. "A shrinkage approach to joint estimation of multiple covariance matrices," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(3), pages 339-374, April.
    4. Sayani Saha & Rahul B Hiremath & Sanjay Prasad & Bimlesh Kumar, 2021. "Barriers to Adoption of Commercial Green Buildings in India: A Review," Journal of Infrastructure Development, India Development Foundation, vol. 13(2), pages 107-128, December.
    5. Michal Gluszak & Agnieszka Malkowska & Bartłomiej Marona, 2021. "Green Building Adoption on Office Markets in Europe: An Empirical Investigation into LEED Certification," Energies, MDPI, vol. 14(7), pages 1-12, April.
    6. Azhgaliyeva, Dina & Rahut, Dil, 2022. "Promoting Green Buildings: Barriers, Solutions, and Policies," ADBI Working Papers 1331, Asian Development Bank Institute.
    7. Boik, Robert J., 2013. "Model-based principal components of correlation matrices," Journal of Multivariate Analysis, Elsevier, vol. 116(C), pages 310-331.
    8. Robert Boik, 2008. "Newton Algorithms for Analytic Rotation: an Implicit Function Approach," Psychometrika, Springer;The Psychometric Society, vol. 73(2), pages 231-259, June.
    9. Quangdung Tran & Sajjad Nazir & Tu-Hieu Nguyen & Ngoc-Khoa Ho & Tuan-Hai Dinh & Viet-Phuong Nguyen & Manh-Hung Nguyen & Quoc-Khanh Phan & The-Son Kieu, 2020. "Empirical Examination of Factors Influencing the Adoption of Green Building Technologies: The Perspective of Construction Developers in Developing Economies," Sustainability, MDPI, vol. 12(19), pages 1-28, September.
    10. Yihong Wang & Da Chen & Pingye Tian, 2022. "Research on the Impact Path of the Sustainable Development of Green Buildings: Evidence from China," Sustainability, MDPI, vol. 14(20), pages 1-23, October.
    11. Zezhou Wu & Mingyang Jiang & Yuzhu Cai & Hao Wang & Shenghan Li, 2019. "What Hinders the Development of Green Building? An Investigation of China," IJERPH, MDPI, vol. 16(17), pages 1-18, August.
    12. Rolando-Arturo Cubillos-González & Grace Tiberio Cardoso, 2020. "Clean Technology Transfer and Innovation in Social Housing Production in Brazil and Colombia. A Framework from a Systematic Review," Sustainability, MDPI, vol. 12(4), pages 1-12, February.
    13. Ryan Browne & Paul McNicholas, 2014. "Estimating common principal components in high dimensions," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 8(2), pages 217-226, June.
    14. Boik, Robert J., 2005. "Second-order accurate inference on eigenvalues of covariance and correlation matrices," Journal of Multivariate Analysis, Elsevier, vol. 96(1), pages 136-171, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9538-:d:879423. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.