Litcius/Paper detail

An agent-based learning-embedded model (ABM-learning) for urban land use planning: A case study of residential land growth simulation in Shenzhen, China

Feixue Li, Zhifeng Li, Honghua Chen, Zhenjie Chen, Manchun Li

2020Land Use Policy70 citationsDOI

Topics & Concepts

ChinaUrban planningLand useEnvironmental planningLand-use planningComputer scienceGeographyCivil engineeringEngineeringArchaeologyLand Use and Ecosystem ServicesUrban Design and Spatial AnalysisHuman Mobility and Location-Based Analysis