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Fellows, M F, Phua, F T T and Tutt, D E (2023) Building bridges: the bilingual language work of migrant construction workers. Construction Management and Economics, 41(02), 153–71.

Galea, N, Powell, A and Salignac, F (2023) The role of homosociality in maintaining men’s powerfulness in construction companies. Construction Management and Economics, 41(02), 172–82.

Grant, A and Ries, R (2013) Impact of building service life models on life cycle assessment. Building Research & Information, 41(02), 168-86.

Hegarty, T, Wright, S, Wordsworth, R and Lord, B (2023) Deferential Tailoring: a grounded theory of how women respond and adapt to social conditions and gender-related challenges in the New Zealand construction industry. Construction Management and Economics, 41(02), 138–52.

Holmes, S H and Reinhart, C F (2013) Assessing future climate change and energy price scenarios: institutional building investment. Building Research & Information, 41(02), 209-22.

Hughes, M, Palmer, J, Cheng, V and Shipworth, D (2013) Sensitivity and uncertainty analysis of England's housing energy model. Building Research & Information, 41(02), 156-67.

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0961-3218
  • URL: https://doi.org/10.1080/09613218.2013.769146
  • Abstract:
    SAP/BREDEM-based models are commonly used for estimating national domestic energy consumption and for assessing the energy and environmental impacts of changes in the housing stock. However, policy-makers should recognize that such models are subject to multiple potential sources of uncertainty. A one-at-a-time sensitivity analysis is undertaken on the Cambridge Housing Model, a SAP 2009 model for estimating total domestic energy consumption in England and the UK. The analysis identifies several parameters to which the model is particularly sensitive, determines that the response to variations in individual parameters is typically non-linear, and concludes that changes to multiple parameters are not additive. A Monte Carlo uncertainty analysis is then undertaken to provide an indication of the impact of multiple uncertainties on model outputs. A concept map is developed to outline a number of potential sources of uncertainty, and in the absence of reliable information expert judgement is used to describe these uncertainties. Outputs suggest that any single estimate of total consumption may be subject to considerable inaccuracy compared with actual use. Similar levels of uncertainty and inaccuracy are likely for any SAP/BREDEM-based national domestic energy model, such as the models underpinning the Green Deal.

Liu, Q, Feng, Y, London, K and Zhang, P (2023) Influence of personal characteristics and environmental stressors on mental health for multicultural construction workplaces in Australia. Construction Management and Economics, 41(02), 116–37.

Newaz, M T, Ershadi, M, Jefferies, M, Pillay, M and Davis, P (2023) A systematic review of contemporary safety management research: a multi-level approach to identifying trending domains in the construction industry. Construction Management and Economics, 41(02), 97–115.

Rehm, M and Ade, R (2013) Construction costs comparison between ‘green’ and conventional office buildings. Building Research & Information, 41(02), 198-208.

Schweber, L (2013) The effect of BREEAM on clients and construction professionals. Building Research & Information, 41(02), 129-45.

Toller, S, Carlsson, A, Wadeskog, A, Miliutenko, S and Finnveden, G (2013) Indicators for environmental monitoring of the Swedish building and real estate management sector. Building Research & Information, 41(02), 146-55.

Wright, G B and Jack, L B (2013) Property-level stormwater drainage systems: integrated flow simulation and whole-life costs. Building Research & Information, 41(02), 223-36.