The current urban development model is gradually shifting from incremental expansion to optimizing existing resources and enhancing functionality. To address the need for diversified land use and refined allocation in urban development, this paper takes the Dongfeng Renewal Unit in Jinan Science and Technology City as a case study. It proposes a multi-objective optimization of urban land use guided by sustainable development principles, aiming to adjust and optimize the structure and layout of urban land use within the spatial planning domain. First, based on the detailed planning and current construction status of the area, a spatial data model for the district is constructed. Subsequently, targeting production development, living convenience, ecological livability, and sustainable development, the model is solved using the Non-Dominated Selection Genetic Algorithm II (NSGA-II), iteratively generating a solution set of several potential optimal land use plans. Finally, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is employed to select the optimal land use plan from the feasible solution set based on different preferences. The study reveals that a multi-objective optimization model for sustainable land use, fully considering spatial factors, can generate more valuable land use solutions. This approach offers valuable insights and references for land use optimization in other regions. Based on these optimized land use solutions, reference strategies for land use optimization and spatial planning can be proposed for urban detailed planning, thereby providing robust support for cities to achieve their goals of production, living, ecology, and sustainability.
Li et al. (Mon,) studied this question.