Research on the Optimization of Low-Carbon Spatial Layout for Construction Land in Central Urban Areas

With the acceleration of urbanization, the construction land in central urban areas not only promotes economic growth but also faces significant carbon emission pressure. To achieve low-carbon development goals, optimizing the spatial layout of construction land in central urban areas has become an urgent issue. Based on the needs of low-carbon development, this study proposes a low-carbon spatial layout optimization method based on algorithms and models. By constructing a spatial layout optimization model and integrating Geographic Information System (GIS) technology with optimization algorithms (such as Genetic Algorithm and Particle Swarm Optimization), this study conducts an in-depth analysis of the low-carbon layout optimization of construction land in central urban areas. Experimental results indicate that this optimization method effectively reduces carbon emissions from urban construction land, improves spatial resource utilization efficiency, and provides scientific decision-making support for urban low-carbon development.