2000
DOI: 10.1068/bst2
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An Introduction to the National Non-Domestic Building Stock Database

Abstract: The origins, purpose, and scope of the Non-Domestic Building Stock (NDBS) database of England and Wales are described. Nondomestic buildings are defined and sources of the data used in the database are identified. The structure of the database, and the role of the classification of nondomestic buildings, are described and discussed.

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Cited by 29 publications
(22 citation statements)
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“…Nishida and Hua, 2011). In most European countries there is ongoing research to obtain such data; in some countries such as the UK they already exist (Steadman et al, 2000). When georeferenced stock data are available, it will be possible to proceed to extensive statistical (cluster) analysis, data mining and analysis of time series (Hassler, 2009).…”
Section: Building Stock Researchmentioning
confidence: 99%
“…Nishida and Hua, 2011). In most European countries there is ongoing research to obtain such data; in some countries such as the UK they already exist (Steadman et al, 2000). When georeferenced stock data are available, it will be possible to proceed to extensive statistical (cluster) analysis, data mining and analysis of time series (Hassler, 2009).…”
Section: Building Stock Researchmentioning
confidence: 99%
“…For information on the heights of buildings, there was an initial attempt at using geographical information system (GIS) data from Landmap. 11 However, the approach proved inaccurate, and therefore the next best dataset available was for the average floor-tofloor height of schools in England and Wales from the Non-Domestic Building Stock project (Steadman, Bruhns, & Rickaby, 2000). The overall height was derived by multiplying the average number of storeys by 3.62 m, rather than making assumptions about the heights of buildings based on visual inspection.…”
mentioning
confidence: 99%
“…The main reason lies in the variation that these may have from one case to the other, making it hard to extrapolate one identical occurrence with any reasonable frequency. Similar assumptions are intrinsic to the development of benchmarks and are also found in Steadman et al (2000b) and Korolija et al (2013).…”
Section: Benchmarks For the Uk Existing Office Stockmentioning
confidence: 79%