CartoConsult, using their Land Source web based software, were commissioned by a leading UK housebuilder to identify residential development land in the North West of England using ‘Big Data’ analytics.
The area of interest (AOI) was large (800 square kilometres), and the client required an efficient first phase assessment and identification of suitable land based on their criteria wish list.
Using this approach, field teams were more focused and motivated, visiting areas of land that had their physical characteristics pre-qualified by the land identification process.
The clients existing approach to land finding was to undertake physical surveys, Google Earth interpretation desktop studies, Rightmove/Plotfinder, and third party (agent) engagement.
This approach was not only resource intensive and expensive, it yielded unpredictable results without any particular focus.
The list of criteria for suitability outlined by the client was as follows:
Within the Manchester green belt area
Brownfield sites i.e. garden centres, scrap yards with associated land
Within 2km of a bus stop, and 3km of a train station
Within 3km of a settlement
Not within a Protected Area i.e. SSSI or Ancient Monument designation
Minimum 3 hectares in size, no maximum
Once the sites were filtered according to the criteria, remaining land parcels were analysed against the Ordnance Survey Addressbase dataset. This allowed the identification of land with a postal address, commercial or industrial classification and size, to remove any parcels of land less than 3 hectares in size.