Optimization of township land use using improved CoMOLA model

The comprehensive land consolidation is an important channel to enhance the efficiency of rural land use for the implementing the strategy of rural revitalization. Therefore, the type optimization of land use and land management can be focused, in order to guide the specific methods of land plan. In this study, a Constrained Multi-objective Optimization of Land-use Allocation (CoMOLA) model was constructed from the aspects of transformation conditions, area constraints, benefit calculation, with the advantage of non-dominated sorting genetic algorithm II in evolution simulation, global search and other multi-objective decision. Law of the primate city was introduced to strengthen the model, while the typical research areas were selected for case analysis. The improved CoMOLA model and the different development scenarios were proposed to simulate the land use and management allocation, and the intermediate results can also be used to identify possible land conflicts in future. The results showed that: 1) Under the economic priority scenario, the economic benefits of study area increased by 12.33% over the base period, but it would come at the cost of certain ecological benefits and production output, which reduced by 11.41% and 3.73%, respectively. Under the ecological priority scenario and production priority scenario, the ecological benefit and production output increased by 51.68% and 11.63% respectively. The economic benefits decreased by 8.34% and 10.18% under these two scenarios, respectively. Each benefit can be improved in the given scenario. 2) The quantity and spatial structure of land use showed a certain polarization trend in all three scenarios, and the absolute conflict plot area was 1.98%, 3.12% and 1.71%, respectively. In practical application, it is necessary to combine multiple factors, such as development goal, and conflict identification, further to make development plans according to local conditions. The improved CoMOLA model can be suitable to optimize land use allocation, and meet the spatiotemporal characteristics of land use. The intermediate result, including Pareto optimal solution set, can be used as the basic data for the conflict identification of land development. A rational optimization plan for land use and land management can be expected to achieved, when combining simulation and conflict identification. This research can provide a new method for multi-objective optimization under the guidance of comprehensive land consolidation.