Monitoring land use changes and its future prospects using cellular automata simulation and artificial neural network for Ahmedabad city, India

Urban sprawl poses a significant threat to sustainable development, and a study on Ahmedabad, India, reveals that the built-up area increased by 156.93 km² from 1976 to 2017, while agricultural land, open spaces, urban vegetation, and water bodies declined. Using cellular automata (CA) and artificial neural network (ANN) models with GIS techniques, researchers predicted that this trend will continue, with built-up areas potentially covering most of the Ahmedabad Municipal Corporation by 2027 if current patterns persist. The study also validated its predictions with a high Kappa coefficient (0.69 overall), indicating strong accuracy. This research provides critical insights for urban planners to develop sustainable city planning strategies.

Yatoo, S. A., Sahu, P., Kalubarme, M. H., & Kansara, B. B. (2020). Monitoring land use changes and its future prospects using cellular automata simulation and artificial neural network for Ahmedabad city, India. GeoJournal, 87(2), 765–786. https://doi.org/10.1007/s10708-020-10274-5