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The Impact of Indoor Environmental Quality on Occupant Satisfaction in Commercial Buildings: A Comparison of Building Expert Opinions and Residents’ Experiences

Author

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  • Fatemeh Mokhtariyan Sorkhan

    (Department of Art and Architecture, Shahid Bahonar University, Kerman 7616913439, Iran)

  • Soheil Roumi

    (School of Engineering and Built Environment, Griffith University, Southport, QLD 4222, Australia)

  • Mohammad Soltanzadeh Zarandi

    (Department of Art and Architecture, Shahid Bahonar University, Kerman 7616913439, Iran)

  • Mohammad Ali Ashraf Ganjouei

    (Department of Art and Architecture, Shahid Bahonar University, Kerman 7616913439, Iran)

Abstract

This paper investigates the Indoor Environmental Quality (IEQ) factors influencing occupant satisfaction in commercial buildings in Iran, contrasting the views of building experts (architects and engineers) with those of building occupants. Employing the fuzzy analytical hierarchy process (FAHP), this study focuses on the four primary IEQ factors: thermal comfort, indoor air quality, visual comfort, and acoustic comfort. The study aims to bridge the gap between expert evaluations and occupant perceptions of IEQ factors in commercial buildings in Iran. By examining the disparities in prioritising IEQ factors between these two groups, the study sheds light on the complexities of IEQ assessment and highlights the importance of considering diverse perspectives in optimising indoor environments. Our methodology includes a survey conducted among 30 building experts (15 architects and 15 building engineers) and 102 occupants, employing FAHP to derive the relative importance weights of each IEQ factor. The results highlight significant disparities between architects, engineers, and occupants in prioritising these factors. Architects emphasise visual comfort (42%), while engineers and occupants view thermal comfort (53% and 41%) as the most crucial factor for occupant satisfaction. The study underscores the complexity of IEQ in commercial buildings and the diverse perspectives influencing its assessment. It contributes to the broader discourse on optimising IEQ, emphasising the need for a comprehensive approach that encompasses both technical expertise and occupant experience.

Suggested Citation

  • Fatemeh Mokhtariyan Sorkhan & Soheil Roumi & Mohammad Soltanzadeh Zarandi & Mohammad Ali Ashraf Ganjouei, 2024. "The Impact of Indoor Environmental Quality on Occupant Satisfaction in Commercial Buildings: A Comparison of Building Expert Opinions and Residents’ Experiences," Energies, MDPI, vol. 17(6), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:6:p:1473-:d:1359635
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    References listed on IDEAS

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    1. Nasrollahi, Nazanin & Shokri, Elham, 2016. "Daylight illuminance in urban environments for visual comfort and energy performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 861-874.
    2. Favero, Matteo & Kloppenborg Møller, Jan & Calì, Davide & Carlucci, Salvatore, 2022. "Human-in-the-loop methods for occupant-centric building design and operation," Applied Energy, Elsevier, vol. 325(C).
    3. Choudhary, Devendra & Shankar, Ravi, 2012. "An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India," Energy, Elsevier, vol. 42(1), pages 510-521.
    4. Soheil Roumi & Fan Zhang & Rodney A. Stewart, 2022. "Global Research Trends on Building Indoor Environmental Quality Modelling and Indexing Systems—A Scientometric Review," Energies, MDPI, vol. 15(12), pages 1-26, June.
    5. Mangla, Sachin Kumar & Kumar, Pradeep & Barua, Mukesh Kumar, 2015. "Risk analysis in green supply chain using fuzzy AHP approach: A case study," Resources, Conservation & Recycling, Elsevier, vol. 104(PB), pages 375-390.
    6. Awasthi, Anjali & Govindan, Kannan & Gold, Stefan, 2018. "Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach," International Journal of Production Economics, Elsevier, vol. 195(C), pages 106-117.
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