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

• Li, Feixue ^[1] ; Li, Zhifeng ^[1] ; Chen, Honghua ^[2] ; Chen, Zhenjie ^[1] ; Li, Manchun ^[1]
  1. [1] Nanjing University

     Nanjing University

     China

     
  2. [2] Nanjing Forestry University

     Nanjing Forestry University

     China

     
• Localización: Land use policy: The International Journal Covering All Aspects of Land Use, ISSN 0264-8377, ISSN-e 1873-5754, Nº. 95, 2020
• Idioma: inglés
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