Abstract
Abstract. The optimization of land-use allocation is one of important approaches to achieve regional sustainable development. This study selects Chang-Zhu-Tan agglomeration as study area and proposed a new land use optimization allocation model. Using multi-agent based simulation model, the future urban land use optimization allocation was simulated in 2020 and 2030 under three different scenarios. This kind of quantitative information about urban land use optimization allocation and urban expansions in future would be of great interest to urban planning, water and land resource management, and climate change research.
Highlights
As the economic development policies are continuously being implemented in China, urban agglomeration as the core area of socio-economic development will be given the priority for rapid development
This indicated that the modelling accuracy using the multi-agent land use spatial optimization model is sufficient to model the land use allocation
The simulation results indicate that land use patterns and changes are different under different scenarios, which provide the basis for land use management and scientific decision-making of regional sustainable development
Summary
As the economic development policies are continuously being implemented in China, urban agglomeration as the core area of socio-economic development will be given the priority for rapid development. The simulation of multiple land use changes using CA models is difficult because numerous spatial variables and parameters have to be utilized. They have some limitations because they cannot explicitly consider the influences of social and human factors in urban expansion simulation. Based on multi-agent system theory and land use decisionmaking process, a new land use optimization allocation model was developed. Using this multi-agent based simulation model, the future urban land use optimization allocations under three different scenarios were simulated in 2020, 2025 and 2030
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