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Behnisch, M and Ultsch, A (2009) Urban data-mining: spatiotemporal exploration of multidimensional data. Building Research & Information, 37(05-06), 520–32.
Brattebø, H, Bergsdal, H, Sandberg, N H, Hammervold, J and Müller, D B (2009) Exploring built environment stock metabolism and sustainability by systems analysis approaches. Building Research & Information, 37(05-06), 569–82.
Coffey, B, Borgeson, S, Selkowitz, S, Apte, J, Mathew, P and Haves, P (2009) Towards a very low-energy building stock: modelling the US commercial building sector to support policy and innovation planning. Building Research & Information, 37(05-06), 610–24.
Hasselaar, E (2009) Health issues and the building stock. Building Research & Information, 37(05-06), 669–78.
Hassler, U (2009) Long-term building stock survival and intergenerational management: the role of institutional regimes. Building Research & Information, 37(05-06), 552–68.
Mavrogianni, A, Davies, M, Chalabi, Z, Wilkinson, P, Kolokotroni, M and Milner, J (2009) Space heating demand and heatwave vulnerability: London domestic stock. Building Research & Information, 37(05-06), 583–97.
Meijer, F, Itard, L and Sunikka-Blank, M (2009) Comparing European residential building stocks: performance, renovation and policy opportunities. Building Research & Information, 37(05-06), 533–51.
Meinel, G, Hecht, R and Herold, H (2009) Analyzing building stock using topographic maps and GIS. Building Research & Information, 37(05-06), 468–82.
Salat, S (2009) Energy loads, CO2 emissions and building stocks: morphologies, typologies, energy systems and behaviour. Building Research & Information, 37(05-06), 598–609.
Steadman, P, Evans, S and Batty, M (2009) Wall area, volume and plan depth in the building stock. Building Research & Information, 37(05-06), 455–67.
Steemers, K and Yun, G Y (2009) Household energy consumption: a study of the role of occupants. Building Research & Information, 37(05-06), 625–37.
- Type: Journal Article
- Keywords: 3
- ISBN/ISSN: 0961-3218
- URL: https://doi.org/10.1080/09613210903186661
- Abstract:
To what extent is energy performance determined by interactions between occupants, behaviour and buildings systems, as well as building and climate characteristics? The purpose of this paper is to establish which factors, and to what extent, affect the energy performance of a housing stock. The US residential sector is used to test the relative roles of socio-economic and behavioural aspects of occupants, as compared with climatic and physical building characteristics. Household heating and cooling energy consumption is investigated using an existing extensive survey, the Residential Energy Consumption Survey (RECS) by the US Department of Energy. This data set consists of information on actual energy consumption along with detailed energy-related characteristics of the housing units and their occupants. The paper presents a statistical analysis of the housing stock and assesses the relative roles of variables on energy use. Regression models and path analysis are used to determine the significance of parameters and their interrelationships. Results reveal that apart from climate, occupant behavioural aspects and socio-economic aspects are critical, partly directly and also significantly indirectly through their influence on choices and decisions about the physical characteristics of buildings and systems. Models are created for the analysis of heating and cooling energy that can be used to explore energy-related policies.
Tanikawa, H and Hashimoto, S (2009) Urban stock over time: spatial material stock analysis using 4d-GIS. Building Research & Information, 37(05-06), 483–502.