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The density of the domestic building stock of London is explored, moving from the scale of individual house and blocks of flats, through larger geographical units, to complete boroughs. The description of the stock is highly detailed and is made using the 3DStock method, which derives building geometry from digital maps and LiDAR (laser measurements from overflying aircraft). This means that accurate estimates of floor areas can be made and used to measure densities as Floor Space Index (FSI) values. Ground coverage or Ground Space Index (GSI) values are calculated from building footprints and land boundaries. The Spacemate tool, devised by Berghauser Pont and Haupt, is used to plot the types and ages of dwellings in terms of FSI, GSI and numbers of storeys. Figures for actual annual gas and electricity consumption are attached to each dwelling. Analysis shows that, in general, energy-use intensities—and especially the intensity of gas use for heating—decrease with increasing density, and with the transition between house types, from detached, to semi-detached, to terraces, to (low-rise) flats. POLICY/PRACTICE RELEVANCE The findings should be of interest to planners and policy-makers concerned with energy use in the domestic stock, and how this may be reduced by fabric measures. The paper provides data on housing densities not previously available in the form of FSI and GSI values. Urban designers and housing architects can gain a fuller understanding of the relation of built form to density, and how these, in turn, affect energy use.

Density and morphology: from the building scale to the city scale