An agent-based procedure with an embedded agent learning model for residential land growth simulation: The case study of Nanjing, China
The agent-based modelling (ABM) is commonly used to simulate urban land growth. A key challenge of ABM for the simulation of urban land-use dynamics in support of sustainable urban management is to understand and model how human individuals make and develop their location decisions that then shape u...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2019
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |