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Dr Paul Brindley
Residential and non-residential development patterns
In collaboration with Peter Bibby, I have undertaken a number of research projects that explore the development patterns within England. Specifically, these sought to investigate the contexts in which new construction and conversion of property were taking place. A small selection of maps from these projects can be found in the gallery below:
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 Changes in numbers of dwellingsThis map shows the net change in dwellings between 1998 and 2003. Intensities of red indicate increasing numbers of dwellings (whether due to new building, residential subdivision or conversion from other uses). Increasing intensities of blue show falls in numbers of dwellings which may result from amalgamation to form larger units, demolitions or changes of use. Values shown are averaged over an 800m radius. |  Changes in business premisesThis map shows change in business addresses between 1998 and 2003. Increasing intensities of red indicate an excess of business addresses over the number that would be expected had it been subject to growth at the national rate. (This might be due to new construction or change of use). Increasing intensities of blue show identify tiles which have grown at less than the national rate. Falls may result from demolitions, changes of use or increasing vacancy). |
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 Subdivision and conversionThis map indicates change in numbers of dwellings not attributable to new construction. Increasing intensity of red identifies gains through residential subdivision or conversion from non-residential use. Increasing intensity of blue show falls in numbers of dwellings which may result from amalgamation to form larger units, demolitions or changes of use. Values shown are averaged over a 10km radius and expressed as units per square. Data excludes urban areas. |  Density of new building developmentThis map shows the site density of new housebuilding for the years 2000-2004 across England. Data have been smoothed by 800m. |
 Brownfield developmentThis map shows the proportion of housing built on brownfield sites for the years 2000-2004 across England. Data have been smoothed by 10km. On average - 70.9% of new residential development between 2000 and 2004 was accommodated on brownfield sites. |  Listed agricultural buildingsThis map shows the geographic distribution of listed agricultural buildings across England. Data have been smoothed to 10km. |
 Place TypologyArea types generated on the basis of density (profiles) in 2000. it is then possible to aggregate other data (such as new dwellings) to explore differences within the typology categories. For example, between 2000 and 2004 there were 31,800 new properties build within the 'City Living' areas. |  Location of directorsMap showing the over-representation of directors of large firms - smoothed to 10km. |
 Agricultural casual labourMap showing the geographic distribution of agricultural casual labour drawn from Agricultural Census data. |  Relative House price changeThis figure has been constructed by first expressing the value of each residential property transaction in 2000 relative to the average for its particular quarter. As a second step, values of property transactions in 2004 have been expressed in the same way. Thirdly, an index is created showing the change between 2000 and 2004. If relative prices remain constant a value of zero will be recorded. If an average house price was 120% of the mean in 2000 and 130% in 2004, a value of 10 will be shown |
 Network analysis: Travel timeThis map shows the travel time (in minutes) from two locations shown by the small black triangles. One starting location is in Downham (Lancashire) whilst the other is in Denshaw (Greater Manchester). |  Distance to nearest facilitiesThis maps shows the average distance to a range of 10 facility types within the High Weald. Facilities included: ten basic services: ATMs, banks and building societies, dentists, doctors’ surgeries, petrol stations, post offices, primary schools, secondary schools and supermarkets. Reds denote areas with good access whilst blue identify areas with poorer access to services. |
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