Computational models for measuring spatial quality of interior design in virtual environment

Indraprastha, Aswin; Shinozaki, Michihiko

doi:10.1016/j.buildenv.2011.09.017

Cited by 19 publications

(20 citation statements)

References 3 publications

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“…The graphical manner of finding the perceptual centres of a room is illustrated in Figs. 1a-d (Indraprastha, 2012). The overlap areas between zones of influences within doors (if the room has more than one entrance) and within windows will have a stronger perceptual centrality than the geometric centre of the room (Fig.…”

Section: Spatial Quality Assessment For Internal Spatiality and Spatimentioning

confidence: 97%

“…Similarity, rhythm and roughness of facade composition are the topics of the sub-determinant of Uniformity and Coherence of Boundaries considered in the spatial quality assessment (Acre and Wyckmans, 2014) (Table 3, (Indraprastha, 2012). Passive and non-passive zones (c) (Baker and Steemers, 1996).…”

Section: Spatial Quality Assessment For Transition Between Public Andmentioning

confidence: 99%

“…The more openings covered, the lower the privacy. Indraprastha (2012) summarises the assessment of visual privacy in two indexes: visual privacy index and visual openness index. The visual privacy index indicates that the greater the average distance from a geometrical centre point p to the windows and doors, the higher the visual privacy index.…”

Section: Spatial Quality Assessment For Viewsmentioning

confidence: 99%

“…The general main topics of the spatial quality determinant of (3) transition between public and private spaces (Indraprastha, 2012). Living room in residential building, Cologne, Germany.…”

Section: Spatial Quality Assessment For Transition Between Public Andmentioning

confidence: 99%

“…Indraprastha (2012) defines three variables to calculate visual openness: visual distance, transparency ratio and viewing area. Visual distance is the distance between the geometrical centre point p of an enclosed space to the midpoint of the openings (doors and windows) (Fig.…”

Section: Spatial Quality Assessment For Viewsmentioning

confidence: 99%

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Dwelling renovation and spatial quality

Acre

Wyckmans

2015

International Journal of Sustainable Built Environment

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Renovation of dwellings for energy efficiency has further implications other than only technical and economic dimensions, such as performance and cost reduction. This paper demonstrates how the renovation of dwellings for energy efficiency impacts spatial quality by crossing technical measures of dwelling renovation with the definition of spatial quality proposed in Acre and Wyckmans (2014). The results of this crossing are developed further into a spatial quality assessment. Spatial quality consists of the interaction between four determinants: (1) views, (2) internal spatiality and spatial arrangements, (3) transition between public and private spaces, and (4) perceived, built and human densities (Acre and Wyckmans, 2014). There are two main challenges in this work: first to demonstrate that energy renovation of dwellings affects spatial quality and second, to create a clear and generic way to indicate and assess this effect that also allows comparability between before and after renovation. The current state of the art in building renovation emphasizes technical performance and efficiency, costs and user responses to technology. However, there is a facet that is hardly explored in the current literature, which is how building renovation affects spatial quality. This paper contributes both to the theory and practice in building renovation. First it emphasizes the relevance of non-technical dimensions such as spatial quality and of the need for a cross-disciplinary approach in energy renovation of dwellings. Second, the paper indicates that energy renovation indeed affects spatial quality in dwellings. The main contribution to practice that this article aims to bring forward consists of the spatial quality assessment for dwelling renovation. The technical measures of energy renovation for the building components of floors, internal and external walls, roofs, windows, mechanical services and controls, built area and the use of renewable energy options are considered in this study in relation to their impact on spatial quality. The aim is to identify and strengthen the connection between energy renovation and people's well-being through spatial quality. The inattention to the potential of nontechnical dimensions such as spatial quality, by stakeholders involved in the energy renovation of dwellings, constitutes a lost opportunity to increase occupants' receptiveness to energy renovation. This receptiveness can be extended by strengthening the connection between renovation of dwellings for energy efficiency and benefits to occupants' well-being. This work follows the current European tendency of fostering energy deep renovation to reach Europe's 2050 aspirations (BPIE, 2011). Deep renovation is an ambitious building renovation strategy that encourages high energy savings measures and the whole building approach (BPIE, 2013). The paper is intended to benefit design professionals, and building owners such as individuals, corporate entities, public sector or real estate portfolio holders, http://dx.

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Section: Spatial Quality Assessment For Internal Spatiality and Spatimentioning

confidence: 97%

Section: Spatial Quality Assessment For Transition Between Public Andmentioning

confidence: 99%

Section: Spatial Quality Assessment For Viewsmentioning

confidence: 99%

“…The general main topics of the spatial quality determinant of (3) transition between public and private spaces (Indraprastha, 2012). Living room in residential building, Cologne, Germany.…”

Section: Spatial Quality Assessment For Transition Between Public Andmentioning

confidence: 99%

Section: Spatial Quality Assessment For Viewsmentioning

confidence: 99%

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