中文摘要：

运用机动车燃料消耗的碳排放直接测算方法,对京津冀区域2005-2014年公路客运交通碳排放进行了测算和时空分析;并借助LEAP模型,设定了基准增长、比例控制和总量控制三种调控情景,对区域未来的公路客运交通碳排放进行了预测和调控设想。结果表明：（1）从时间演变来看,虽然单位乘客碳排放强度大大降低,但区域总体公路客运交通碳排放绝对量却在稳步快速增长,区域碳减排压力持续增加;（2）从空间分异来看,京津二市碳排放一直处于领先地位,但河北11市碳排放的稳步提升也使河北省碳排放在京津冀区域中的比重大大抬升;（3）预测发现总量控制情景较比例控制情景有更大碳减排幅度,但两种控制情景的区域碳排放总量至2030年都会保持增长态势,因此区域公路客运交通的调控需要科学设计并加大力度。本研究可为区域交通管治政策制定和碳减排提供参考。

英文摘要：

In the 21 st century, China entered an era of highway passenger transport, which is bound by regional energy supply and that strongly impacts carbon emissions. With the rapid increase in the number of private cars, road passenger transport has made a significant contribution to carbon emissions, and future contributions to regional carbon emissions will increase further. This is undoubtedly a huge challenge for China＇s carbon reduction goals. By using the bottom-up approach for estimating carbon emissions, the Beijing-Tianjin-Hebei region （hereafter, ereafte Jing-Jin-Ji）of highway passenger transport carbon emissions were estimated and analyzed from 2005 to 2014. With the help of a LEAP model, we set three kinds of regulations including benchmark growth, proportional control and total amount of control. The future of regional highway passenger transport carbon emissions is forecasted. We found that from the evolution of time, although per capita carbon emission intensity is greatly reduced, regional overall highway passenger transport carbon emissions grow steadily, and regional carbon reduction pressure increases. From a spatial differentiation perspective, the carbon emissions of the two cities Beijing and Tianjin is leading. The steady rise of carbon emissions in the 11 cities of Hebei also meant that the proportion of carbon emissions in the Jing-Jin-Ji region in Hebei increased. We predict that the total quantity control scenario is a proportional control situation and more carbon emissions, but no matter the regional carbon emission reductions, carbon emissions will keep rising until 2030. The design of highway passenger transport control requires scientific areas and greater effort. These data should be used to improve highway passenger transport policy and regional carbon reduction in China.