华南理工大学学报(自然科学版) ›› 2024, Vol. 52 ›› Issue (8): 1-13.doi: 10.12141/j.issn.1000-565X.230293

• 交通运输工程 •    下一篇

高速公路新能源汽车碳排放量的测算及空间分布特征

温惠英1(), 何梓琦1, 胡宇晴2, 黄俊达1()   

  1. 1.华南理工大学 土木与交通学院,广东 广州 510640
    2.广东联合电子服务股份有限公司,广东 广州 510620
  • 收稿日期:2023-05-04 出版日期:2024-08-10 发布日期:2024-03-08
  • 通信作者: 黄俊达 E-mail:hywen@scut.edu.cn;cthuangjunda@mail.scut.edu.cn
  • 作者简介:温惠英(1965—),女,教授,博士生导师,主要从事交通规划、交通安全研究。E-mail: hywen@scut.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(52172345);广东省自然科学基金资助项目(2023A1515011322)

Calculation and Spatial Distribution Characteristics of Carbon Emissions from New Energy Vehicles on Expressways

WEN Huiying1(), HE Ziqi1, HU Yuqing2, HUANG Junda1()   

  1. 1.School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China
    2.Guangdong E-Serve United Co. ,Ltd. ,Guangzhou 510620,Guangdong,China
  • Received:2023-05-04 Online:2024-08-10 Published:2024-03-08
  • Contact: HUANG Junda E-mail:hywen@scut.edu.cn;cthuangjunda@mail.scut.edu.cn
  • Supported by:
    the National Natural Science Foundation of China(52072131);the Natural Science Foundation of Guangdong Province(2023A1515011322)

摘要:

针对高速公路大范围路网中新能源汽车由于能源消耗所产生的间接碳排放量难以统计的问题,提出了一种基于高速公路ETC收费联网数据的新能源汽车碳排放量测算方法。首先,对高速公路新能源汽车车流数据进行清洗与处理;然后,依据高速公路路网门架分布定义并划分路段单元,在此基础上对不同类型的新能源汽车进行能耗分析;最后,建立了新能源汽车运行阶段的碳排放计量模型,并以广东省为例,进行了碳排放量的测算及空间分布特征分析。结果表明:1类纯电动客车为高速公路新能源汽车碳排放的主要来源,其碳排放量占新能源汽车碳排放总量的74.20%,其次是1类纯电动货车,其碳排放量占新能源汽车碳排放总量的14.18%,1类插电式混合动力客车的碳排放量占比为11.62%;新能源汽车碳排放量较高的地市主要集中在珠三角城市群,粤东、粤西、粤北等后发地区的碳排放总量占比不足13%;新能源汽车碳排放量较高的路段主要分布在发达城市的交通枢纽和市内高速环线中,以广州都市圈和深圳都市圈为中心对周边城市高速公路路网产生辐射效应;后发地区由于高速公路路网密度较低且基础设施建设相对滞后,新能源汽车的普及率较低,相应的碳排放量普遍处于较低水平。

关键词: 高速公路, 收费数据, 新能源汽车, 能耗, 碳排放

Abstract:

In order to overcome the difficulty in estimating the indirect carbon emissions from new energy vehicles due to the energy consumption in a large-scale expressway network, this paper proposes a new carbon emission calculation method of new energy vehicles based on the toll data in expressway ETC network. Firstly, the traffic flow data of new energy vehicles on expressways were cleansed and processed. Then, according to the distribution of toll gantries, road sections were defined and segmented. On this basis, the energy consumption of different types of new energy vehicles was analyzed. Furthermore, a carbon emission quantification model of new energy vehicles in the operational stage was established. Finally, by taking Guangdong Province as an example, the carbon emissions of new energy vehicles on expressways were calculated, with its spatial distribution characteristics being also analyzed. The results show that (1) Category 1 pure electric passenger cars are the main source of carbon emissions from new energy vehicles on expressways, accounting for 74.20% of the total carbon emissions of new energy vehicles, followed by Category 1 pure electric trucks, whose carbon emissions account for 14.18% of the total, and Category 1 plug-in hybrid passenger cars contribute 11.62% of the total; (2) the cities in the Pearl River Delta urban agglomeration are the main contributors to high carbon emissions from new energy vehicles, and the less developed regions in eastern, western and northern Guangdong account for less than 13% of the total carbon emissions from new energy vehicles; (3) the road segments with high carbon emissions from new energy vehicles mainly locate in the transportation hubs and inner-city expressway rings of developed cities, and Guangzhou metropolitan area as well as Shenzhen metropolitan area as the center has a radiating effect on the expressway network of surrounding cities; and (4) in less developed areas, due to the low density of expressway network and relatively lagging infrastructure, the penetration rate of new energy vehicles is low, the corresponding carbon emissions from new energy vehicles are generally low.

Key words: expressway, toll data, new energy vehicle, energy consumption, carbon emission

中图分类号: