A layout planning method for urban agglomeration transportation lines from the perspective of carbon reduction policies

To enhance the accessibility of transportation systems in urban agglomerations and mitigate carbon emissions from traffic, this paper introduces a comprehensive planning approach for transportation routes. Initially, it calculates the carbon emissions generated by urban mass transit, and set minimizing these emissions as a key objective. Subsequently, for road traffic within urban agglomerations, a layout model is established that aims to minimize both travel time and carbon emissions. By incorporating the Pareto optimal concept optimization algorithm, the study determines the optimal solution. In terms of rail transit, the paper establishes the optimal planning outcome by employing the probability density function of rail transit as a constraint, after determining the appropriate scale of the system. Experimental results demonstrate that this approach effectively controls the overall carbon emissions of the urban agglomeration transportation system, with the layout coordination coefficient peaking at 0.926.