• •
李苑君1,2,3(), 吴旗韬1,3(
), 王长建1,3, 吴康敏1,3, 张虹鸥1,3, 金双泉4
收稿日期:
2022-03-02
修回日期:
2022-04-08
通讯作者:
吴旗韬
E-mail:liyuanjun19@mails.ucas.ac.cn;wuqitao@gdas.ac.cn
作者简介:
李苑君(1995—),女,湖北襄阳人,博士研究生,研究方向为交通流网络、交通碳排放,(E-mail)liyuanjun19@mails.ucas.ac.cn;
基金资助:
Yuanjun Li1,2,3(), Qitao Wu1,3(
), Changjian Wang1,3, Kangmin Wu1,3, Hong'ou Zhang1,3, Shuangquan Jin4
Received:
2022-03-02
Revised:
2022-04-08
Contact:
Qitao Wu
E-mail:liyuanjun19@mails.ucas.ac.cn;wuqitao@gdas.ac.cn
摘要:
以广东省为例,基于高速公路联网收费系统的路段车流数据,建立包含I~IV类客车和I~VI类货车在内的全样本、高精度碳排放计量模型,并采用地理空间分析法探索广东省高速公路碳排放空间差异性。结论主要有:1)广东省高速公路碳排放主要来自于货车,货车碳排放占碳排放总量的57.1%;客车占42.9%。其中,中小型机动车,如I类客车(即小汽车)、I类和III类货车等是高速公路主要碳排放源。2)在高速公路网络中,碳排放高值路段具有集中于国家级高速公路、邻近经济发达和人口密集区、邻近机场和港口等空间特征。客车碳排放高值路段主要集中在珠三角区域,沿广州市向外呈放射状分布;货车碳排放高值路段主要分布在国家级高速公路,且货车载货量越小,碳排放空间分布越集中。3)广东省高速公路碳排放较高的地市多集中在珠三角城市群,广州市城市首位效应突出。县区尺度下,高速公路碳排放的空间非均衡特征显著,碳排放较高的县区多为广州市和佛山市下属县区。
中图分类号:
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