Research on Urban Multi-Modal Travel Carbon Footprint Calculation and Emission Reduction Strategy Optimization Based on Multi-Source Data Fusion
DOI:
https://doi.org/10.54097/vt6cft49Keywords:
Multi-modal Travel, Carbon Emissions, SUMO Simulation, Policy EvaluationAbstract
Urban transportation is one of the major sources of carbon emissions. Based on the SUMO simulation platform, this study integrates OpenStreetMap road-network data, HBEFA emission parameters, and travel-characteristic data from statistical yearbooks to construct a simulation-based evaluation framework for carbon emissions from multi-modal travel. By designing multiple policy scenarios, including bus priority, active-mode feeder optimization, and private-car regulation, the study systematically analyzes the effects of different strategies on system-level carbon emissions. The results show that combined strategies may generate both synergy and offsetting effects, together with diminishing marginal returns. The findings provide a methodological reference for low-carbon urban transport planning and offer a technical pathway for policy pre-assessment under data-constrained conditions.
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