城市核心区域乘用车碳排放的时空分布特征

Spatiotemporal distribution characteristics of the carbon emission from passenger cars in urban core region

基于浮动车数据、交通量数据和碳排放因子,利用ArcGIS建立福州市二环内不同时段乘用车道路碳排放的时空分布图,并设置4个减排情景模拟2020年该区域内乘用车的碳排放时空分布特征.结果显示:相同时段内,道路等级越高,单位面积乘用车碳排放量越大;不同时段乘用车碳排放量存在差异,工作日早高峰与工作日晚高峰时段碳排放量较高,周末早高峰及平峰时段碳排放量较低;快速路与次干道在不同时段乘用车碳排放量变化较大,主干道与支路则较为稳定.4种减排措施中,控制机动车保有量是最有效的减排方法,相对无控情况碳排放量降低8%;相同减排措施下,工作日早高峰次干道上乘用车碳排放量削减效果最为明显.

Spatiotemporal distribution map of carbon emission from passenger car in the urban core region of Fuzhou City was built using ArcGIS based on data on floating car,traffic volume and carbon emission.Four emission reduction scenarios were set up to simulate the spatial and temporal distribution of carbon emission from passenger vehicles in 2020.The results showed that in the same time frame,the higher road grade,the more carbon emission from passenger car per unit area was.Carbon emission varied sig-nificantly among different time frames,and it was higher at both morning and evening peaks during weekdays while it was relatively low at morning peak and non-rush hours at weekend.Also carbon emissions from passenger cars varied significantly on expressway and main road at different time periods,while it was relatively stable on branch road and secondary road.Among 4 carbon emission mitigation scenarios,controlling vehicle volume was the most effective way to reduce carbon emission,resulting in a predicted reduc-tion rate of 8%compared with the uncontrolled scenario.Reduction on the secondary road at morning peak was most effective among different grades of roads.