Abstract: As one of the main contributors to urban carbon emissions, urban lighting plays a crucial role in achieving carbon reduction targets through its low-carbon transformation. The current systematic planning methods for low-carbon urban lighting and the precise carbon accounting systems are still under development. This study explores an operational low-carbon lighting planning method and a carbon emission calculation model by integrating urban network analysis, DIALux evo lighting simulation technology, and emission factor method on the basis of traditional lighting planning approaches. Using a central urban area in northern China as a case study, the research optimizes road lighting illuminance control standards and spatial distribution patterns while selecting energy-efficient luminaires through scientific evaluation. It is estimated that the implemented functional lighting carbon-reduction plan could lead to a reduction of 8,861.18 tons in annual lighting carbon emissions. City-wide implementation of this methodology would effectively reduce national lighting carbon emissions, providing critical technical support for urban low-carbon transition and the achievement of China’s dual carbon goals.