中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2026, Vol. 45 ›› Issue (2): 95-103.DOI: 10.3969/j.issn.1674-0696.2026.02.12

• Traffic & Transportation+Artificial Intelligence • Previous Articles    

Measurement of Carbon Emissions from Transportation in the Pearl River Delta Region

ZHOU Zhijie1, 2, LIU Yunlong1   

  1. (1. School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China; 2. Guangdong Provincial Transportation Group Co., Ltd., Guangzhou 510623, Guangdong, China)
  • Received:2025-03-17 Revised:2025-04-28 Published:2026-03-02

珠三角地区交通运输碳排放测算研究

周志洁1, 2,刘云龙1   

  1. (1. 重庆交通大学 经济与管理学院,重庆 400074; 2. 广东省交通集团有限公司,广东 广州 510623)
  • 作者简介:周志洁(1986—),男,湖南耒阳人,高级政工师,博士研究生,主要从事交通运低碳发展方面的研究。E-mail:cqzhouzhijie@126.com
  • 基金资助:
    国家社会科学基金一般项目(21BJY038);重庆市教委科技重点项目(KJZD-K202200707);重庆市教委人文社科规划项目(20SKGH092)

Abstract: Based on statistical data from 2011 to 2020, the carbon emissions from the transportation sector in the Pearl River Delta region were measured. And the STIRPAT model was applied to predict peak carbon emissions under eight scenarios from 2021 to 2035, meanwhile, the shift-share analysis method was employed to evaluate the interregional transfer of transportation carbon emissions from 2011 to 2019. The research results show that carbon emissions from transportation sector in the Pearl River Delta region have shown a trend of initial decline followed by an increase from 2011 to 2020. Under scenarios of low economic growth and rapid development of environmental technology, carbon emissions are projected to reach their peak by 2030. Moreover, the optimization of transportation structure and energy structure has an inhibitory effect on carbon emissions. From 2011 and 2019, there have been frequent interregional transfers of carbon emissions from transportation in the Pearl River Delta region, demonstrating a trend of shifting from economically developed areas to less developed areas.

Key words: traffic and transportation engineering; Pearl River Delta region; carbon emissions measurement; peak value; cross-regional transfer

摘要: 基于2011—2020年统计数据,对珠三角地区交通运输碳排放量进行测算,并应用STIRPAT模型预测2021—2035年8种情景下的碳排放峰值,同时借助偏离-份额分析法评估2011—2019年交通运输碳排放跨区转移情况。研究结果表明:2011—2020年珠三角地区交通运输碳排放呈先降后升趋势,在低速经济增长与环保技术高速发展情景下,预计碳排放将于2030年达峰,且交通运输结构与能源结构优化对碳排放具有抑制作用;2011—2019年间,珠三角地区交通运输碳排放跨区转移频繁,呈现出由经济发达地区向欠发达地区转移的趋势。

关键词: 交通运输工程; 珠三角地区; 碳排放量测算; 峰值; 跨区转移量

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