A Collaborative Image of Energy Efficient Housing via a Photo-Based Approach

Asad Poor, S. Javad and Thorpe, David and Goh, Yong Wah (2019) A Collaborative Image of Energy Efficient Housing via a Photo-Based Approach. International Journal of Housing Markets and Analysis, 13 (3). pp. 513-532. ISSN 1753-8270


Regarding the contribution of Australian small-size housing in the enhancement of total energy consumption of the country, and the roles of the occupants’ preferences in successful implementation of action plans, this study aims at identifying the Australian occupants’ collaborative image of Housing energy efficiency. The two main objectives are, therefore, to address the main energy-related housing physical factors which have the potential in representing the HI of Australian occupants and to explain the causal factors that make the physical factors critical to their energy efficiency perception.
This research has been developed through a qualitative approach. Given that the images encompass a wide range of information expressing human perceptions, an online photo-based qualitative survey was developed based on previous research works. The survey includes respondents’ demographic profiles and the evaluation of images, asking for their perception of overall housing energy efficiency, the impacts of building envelope physical attributes on the energy efficiency of the houses and the reasons behind the selection of different attributes.
This study has developed a set of attribute-based factors, explaining occupants’ collective perception of energy efficient small-size housing in Brisbane, is the area of exterior aspects of the buildings. Specifically, the collaborative image of small-size housing of Brisbane is about the thermal performance of the buildings, provided through passive climatic principles via employing more efficient envelope features, e.g. material, colour, transparency, texture, openings, balconies, and shadowing devices, while ignoring the impacts of architectural composition principles along neighbourhood quality. The key attributes in assessing the small-housing energy efficiency are ventilation, thermal performance and shadowing. The housing images in old traditional architectural style with rural face, built by stone, brick, and concrete in high dense vegetation were evaluated as more energy efficient than those with modern architecture, built by large glass panel and metal cladding with light or no vegetation.
The main limitation of the paper is related to the nature of a photo-based survey, which leads to ignoring some aspects of real spaces like odor, temperature, and noise.
This research has the potential for developing a practical methodology for assessing housing-resident fit, using computer-based methodology and neural network.
This research provides as a reliable conceptual platform for dealing with the complexity of occupants' housing perceptions. This is achieved by establishing a collective conceptual picture of these environmental perceptions namely Housing Image. Housing Image is a platform for transferring abstract data related to human perception into measurable and quantitative scales.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Psychology and Counselling (1 Jan 2015 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Psychology and Counselling (1 Jan 2015 -)
Date Deposited: 16 Jan 2020 01:25
Last Modified: 14 Apr 2021 00:24
Uncontrolled Keywords: Energy efficiency, Occupants' Perception, Environmental Image, Building Envelope, Housing-Resident Fit, Australia
Fields of Research (2008): 17 Psychology and Cognitive Sciences > 1701 Psychology > 170112 Sensory Processes, Perception and Performance
05 Environmental Sciences > 0599 Other Environmental Sciences > 059999 Environmental Sciences not elsewhere classified
12 Built Environment and Design > 1201 Architecture > 120101 Architectural Design
Fields of Research (2020): 52 PSYCHOLOGY > 5204 Cognitive and computational psychology > 520406 Sensory processes, perception and performance
41 ENVIRONMENTAL SCIENCES > 4199 Other environmental sciences > 419999 Other environmental sciences not elsewhere classified
33 BUILT ENVIRONMENT AND DESIGN > 3301 Architecture > 330102 Architectural design
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970117 Expanding Knowledge in Psychology and Cognitive Sciences
E Expanding Knowledge > 97 Expanding Knowledge > 970112 Expanding Knowledge in Built Environment and Design
Identification Number or DOI: https://doi.org/10.1108/IJHMA-07-2019-0070
URI: http://eprints.usq.edu.au/id/eprint/37159

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