Exploring residential built-up form typologies in Delhi: a grid-based clustering approach towards sustainable urbanisation

Abstract Previous studies have established a significant link between urban form and sustainability. However, the diversity of micro-scale urban forms in cities in the global south has received limited attention, hindered by the lack of neighbourhood-level spatial data and maps, which poses challenges in exploring micro-urban form features. The study addresses this gap using a grid-based k-means clustering algorithm to identify residential built-up form typologies in Delhi and assess their impact on sustainable urbanisation. The algorithm clusters 100×100 metre grid cells based on their attributes of accessibility, built-up density, and street design. The results show six distinct built-up form typologies in Delhi. However, only 19% of residential areas meet the criteria for sustainable urbanisation, highlighting the need for planning interventions in most areas. The study methodology can be applied to analyse micro-scale urban form features in other cities in the global south, providing a fresh perspective on urbanisation research