Urban Growth Simulation Based on a Multi-Dimension Classification of Growth Types: Implications for China’s Territory Spatial Planning

One of the primary aims China’s territory spatial planning is to control urban sprawl local municipals and prevent regional competition negative consequences on environment—which emphasizes top-down regulation. Indeed, traditional cellular automaton (CA) model still has limitations when applied whole administration area since it may ignore differences among cities towns. Thus, this paper proposed a CM-CA (clustering, multi-level logit regression, integrated with automaton) framework simulate growth boundaries for towns simultaneously. The significant novelty integrate several modes all We our approach city Xi’an, China, results showed satisfactory simulation accuracy multiple towns, clusters’ effects contributed 74% land change variance. Our study provides technical support boundary delineation in planning.