Influencing Factors Analysis and Optimization of Land Use Allocation: Combining MAS with MOPSO Procedure

The rural land use preferences of multiple agents are crucial for optimizing land-use allocation. Taking Guanlin Town, Yixing City, China as an example, this study analyzed the factors by effecting conversion probability, identified objectives and constraints within optimization allocation, simulated optimal allocation 2030 combining MAS with MOPSO procedure. results showed that decisions main actors effected Government determined between types. entrepreneurs resulted in distribution industrial land. Town residents made a high contribution to configuration town residential considering some factors. Rural families influenced quality cultivated soils, spatial location aquaculture systems. Four were identified. most relevant upper lower limits each type. types 2015 had low intensification unreasonable structure. modeling indicated tendency concentrated distributions present can provide useful support decision-making planning consequent management.