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Evaluation of Wood Coverage on Building Facades Towards Sustainability

Author

Listed:
  • Hongpeng Xu

    (Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information, School of Architecture, Harbin Institute of Technology, Harbin 150006, China)

  • Jing Li

    (Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information, School of Architecture, Harbin Institute of Technology, Harbin 150006, China)

  • Jianmei Wu

    (Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information, School of Architecture, Harbin Institute of Technology, Harbin 150006, China)

  • Jian Kang

    (Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information, School of Architecture, Harbin Institute of Technology, Harbin 150006, China
    Institute for Environmental Design and Engineering, The Bartlett, University College London (UCL), London WC1H 0NN, UK)

Abstract

This study explores the acceptance of different wood coverages on building facades with the aim of optimization of materials, and in turn improving overall sustainability. It firstly develops the principal physical variables and evaluation criteria; then, test models are created using an orthogonal design experiment; finally, two evaluation methods are used to comprehensively test acceptance, based on a questionnaire and an eye-tracking study. The results show that: (1) The effects of the amount of wood coverage and the wood patterns are significant, whereas the effect of material combinations is insignificant. (2) The acceptance of building facades is at the highest level when the amount of wood coverage is 65%. (3) The amounts of wood coverage for facades in the range of 35% to 50% are effective when designing the facade of wood buildings, in order to implement the dual targets of saving wood and higher acceptance.

Suggested Citation

  • Hongpeng Xu & Jing Li & Jianmei Wu & Jian Kang, 2019. "Evaluation of Wood Coverage on Building Facades Towards Sustainability," Sustainability, MDPI, vol. 11(5), pages 1-12, March.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1407-:d:211645
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    References listed on IDEAS

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    1. Russo, J Edward & Leclerc, France, 1994. "An Eye-Fixation Analysis of Choice Processes for Consumer Nondurables," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(2), pages 274-290, September.
    2. Amos Arieli & Yaniv Ben-Ami & Ariel Rubinstein, 2011. "Tracking Decision Makers under Uncertainty," American Economic Journal: Microeconomics, American Economic Association, vol. 3(4), pages 68-76, November.
    3. Alicia Rihn & Hayk Khachatryan & Benjamin Campbell & Charles Hall & Bridget Behe, 2016. "Consumer preferences for organic production methods and origin promotions on ornamental plants: evidence from eye-tracking experiments," Agricultural Economics, International Association of Agricultural Economists, vol. 47(6), pages 599-608, November.
    4. Gerrit Antonides, 2017. "Sustainable Consumer Behaviour: A Collection of Empirical Studies," Sustainability, MDPI, vol. 9(10), pages 1-5, September.
    5. Elena Reutskaja & Rosemarie Nagel & Colin F. Camerer & Antonio Rangel, 2011. "Search Dynamics in Consumer Choice under Time Pressure: An Eye-Tracking Study," American Economic Review, American Economic Association, vol. 101(2), pages 900-926, April.
    6. Nadine May & Edeltraud Guenther & Peer Haller, 2017. "Environmental Indicators for the Evaluation of Wood Products in Consideration of Site-Dependent Aspects: A Review and Integrated Approach," Sustainability, MDPI, vol. 9(10), pages 1-31, October.
    7. Shenghan Li & Huanyu Wu & Zhikun Ding, 2018. "Identifying Sustainable Wood Sources for the Construction Industry: A Case Study," Sustainability, MDPI, vol. 10(1), pages 1-14, January.
    8. Campbell, Benjamin L. & Behe, Bridget K. & Khachatryan, Hayk & Hall, Charles R. & Dennis, Jennifer H. & Huddleston, Patricia T. & Fernandez, R. Thomas, 2013. "Incorporating Eye Tracking Technology and Conjoint Analysis to Better Understand the Green Industry Consumer," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150431, Agricultural and Applied Economics Association.
    9. Kelvin Balcombe & Iain Fraser & Eugene McSorley, 2015. "Visual Attention and Attribute Attendance in Multi‐Attribute Choice Experiments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(3), pages 447-467, April.
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    Cited by:

    1. Dushan Fernando & Satheeskumar Navaratnam & Pathmanathan Rajeev & Jay Sanjayan, 2023. "Study of Technological Advancement and Challenges of Façade System for Sustainable Building: Current Design Practice," Sustainability, MDPI, vol. 15(19), pages 1-33, September.

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