Abstracts – Browse Results
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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.
- Type: Journal Article
- Keywords: 3
- ISBN/ISSN: 0961-3218
- URL: https://doi.org/10.1080/09613210903159833
- Abstract:
Building stock is an extremely cost-intensive and long-lived component of the settlement structure. Considering its importance, the information available on building stock and its development is often inadequate. Data such as the age and structure of buildings, the number of dwelling units and floors are not comprehensively available nor sufficiently processed. In order to fill this gap, this paper presents a method for the calculation of settlement structure parameters by means of a spatial disaggregation through a combination of building data obtained from topographic maps 1:25 000, block boundaries taken from authoritative digital maps, and statistical data at municipality level. The inexpensive analogue maps are available nationwide and also for earlier time slices due to defined update intervals. The maps are scanned at high resolution and geo-referenced. The building stock, which is shown interspersed with traffic, vegetation and lettering, is filtered out by means of digital image processing. Buildings are then surveyed, relations to neighbouring buildings interpreted, and the general physical structure and block boundaries classified. Density can then be calculated either for the block boundaries or a reference geometry of one’s choice (e.g. regular raster cells). By combining building type with typical reference density values for floor number and building area-related dwelling and resident densities, further settlement structure parameters can be calculated. Comparing the building stock on maps representing different time slices enables the development of the built environment to be analysed. The method has been implemented as a toolbox in Geographical Information System (GIS) software ESRI ArcGIS and is intended for use as a nationwide monitoring system of settlement and open space development.
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.
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.