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Ben Mahmoud, B, Lehoux, N and Blanchet, P (2024) Integration mechanisms for material suppliers in the construction supply chain: a systematic literature review. Construction Management and Economics, 42(01), 70–107.
Choudhary, R and Tian, W (2014) Influence of district features on energy consumption in non-domestic buildings. Building Research & Information, 42(01), 32-46.
Denny-Smith, G, Williams, M, Loosemore, M, Sunindijo, R Y and Piggott, L (2024) What social value do Indigenous contractors create?. Construction Management and Economics, 42(01), 16–34.
Dykes, C and Baird, G (2014) Performance benchmarks for non-domestic buildings: towards user perception benchmarks. Building Research & Information, 42(01), 62-71.
Hong, S-M, Paterson, G, Mumovic, D and Steadman, P (2014) Improved benchmarking comparability for energy consumption in schools. Building Research & Information, 42(01), 47-61.
Isaacs, N and Hills, A (2014) Understanding the New Zealand non-domestic building stock. Building Research & Information, 42(01), 95-108.
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0961-3218
- URL: https://doi.org/10.1080/09613218.2013.831274
- Abstract:
Unlike the residential building stock, most countries have poor information on their non-domestic stock. This necessitates the use of other data sources. In the mid-1980s the (then) New Zealand Department of Valuation digitized its valuation records. This permitted the first analysis of an entire country's non-domestic buildings. A very long-tail probability density function was identified, with the largest 5% of buildings containing more than 40% of the floor space. This knowledge informed the development of research for understanding non-domestic buildings as well as underpinning the 1996 revision of the NZ Building Code Clause H1 Energy Efficiency. More recently an analysis of valuation data has provided the Building Energy End-use Study (BEES) with a national sampling frame to examine energy and water end-uses in non-domestic buildings. The development of processes for collecting and analyzing data is described. Considerable changes in understanding of valuation data have occurred for documenting the non-domestic building stock. New online and geographic information sources can validate and improve building data. The use of such a database supports improved understanding of the changing nature of the building stock and potential intervention points, as well as harnessing regulatory and market forces.
Liddiard, R (2014) Room-scale profiles of space use and electricity consumption in non-domestic buildings. Building Research & Information, 42(01), 72-94.
Nguyen Chau, T, Pham, T T T, Ha, T C V and Nguyen, D (2024) Corruption, market structure, and industry competition in the Vietnamese construction sector. Construction Management and Economics, 42(01), 54–69.
Rueda-Benavides, J, Gransberg, D, Khalafalla, M and Mayorga, C (2024) Probabilistic cost-based decision-making matrix: IDIQ vs. DBB contracting. Construction Management and Economics, 42(01), 1–15.
Steadman, P, Hamilton, I and Evans, S (2014) Energy and urban built form: an empirical and statistical approach. Building Research & Information, 42(01), 17-31.
Taylor, S, Fan, D and Rylatt, M (2014) Enabling urban-scale energy modelling: a new spatial approach. Building Research & Information, 42(01), 4-16.
Zhang, S, Leiringer, R and Winch, G (2024) Procuring infrastructure public-private partnerships: capability development and learning from an owner perspective. Construction Management and Economics, 42(01), 35–53.