Urban construction land suitability evaluation based on the BP neural network: A case study on Hangzhou

Urban construction land suitability evaluation is an important reference on urban construction land planning and use potential analysis. With the support of the GIS and Back-propagation (BP) neural network, the suitability of the Hangzhou urban construction land was divided into four levels: a construction land suitability zone I suitable for super high-rise and high-rise buildings, a construction land suitability zone II suitable for multi-story buildings, a construction land suitability zone III suitable for low-rising buildings, and construction land suitability zone IV not suitable for buildings. The results showed that the BP neural network can commendably capture the complex non-linear relationship between the evaluation factors and the suitability level. The research results will support the scientific decision-making for Hangzhou urban construction land planning and management and rational utility.