摘要 : Transportation significantly contributes to carbon emissions, prompting theneed for effective mitigation policies. This study addresses the knowledge gapsin assessing the effectiveness of transport carbon policies and offers the l... 展开 Transportation significantly contributes to carbon emissions, prompting theneed for effective mitigation policies. This study addresses the knowledge gapsin assessing the effectiveness of transport carbon policies and offers the lack ofa holistic comparative overview. The study used a model composed ofa mixed-effects meta-regression and carbon elasticity to investigate policies,like shared bikes, mobility hubs, low emission zones, congestion pricing,electric vehicles, and hydrogen vehicles. This model included seven controlvariables: year, GDP, implementation costs, geographic scale, environmentalbenefits, and transport share of energy consumption and carbon emissions.Mobility hubs and electric vehicles ranked are top effective policies withcarbon elasticities of 3.73 and 3.72, effect sizes of 127.47 and 86.73, andconfidence intervals of [65.55, 107.93] and [106.17, 148.78], respectively.Followed by the low emission zone of 16.3 carbon elasticity, proving its costeffectiveness,effect size of 10.16, and a confidence interval of [−2.48, 22.80].Congestion pricing, despite having the highest effect size of 873.39, its confidenceinterval [−354.01, 2100.80] is wide, indicating the uncertainty of thiseffect. Shared bikes and hydrogen vehicles ranked lowest, suggesting a needfor deeper life cycle-based analysis. Although this model displayed high accuracy,the findings’ interpretation should consider the inherent data limitations. 收起