Lewisham Borough Council applied an artificial intelligence-based mapping tool to identify more than 3000 small sites with potential for housing development. This initiative enabled authorities to better understand the contribution of such areas to overall new housing delivery.
The use of automated data analysis systems allows municipalities to rapidly process large volumes of geospatial information that might previously have been overlooked during manual surveys. The identification of thousands of small sites opens new opportunities for infill development.
This case demonstrates the practical application of machine learning technologies in urban planning within the UK. The tool serves as a decision-support mechanism, helping to optimize the use of existing land resources.
editorial commentary
Why it matters
A likely consequence will be an increase in the rate of identifying construction sites in dense urban developments. The next observable signal will be the publication of reports on the actual commencement of construction on the identified plots. The main uncertainty remains the ability of local communities to agree on development across numerous small, fragmented territories.