Spatiotemporal Patterns and Drivers of Urban Traffic Carbon Emissions in Shaanxi, China
文献类型：期刊论文
| 作者 | Qian, Yongsheng1; Zeng, Junwei1; Hao, Wenqiang5; Wei, Xu1; Yang, Minan4; Zhang, Zhen3; Liu, Haimeng2 |
| 刊名 | LAND
 |
| 出版日期 | 2025-06-26 |
| 卷号 | 14期号:7页码:1355 |
| 关键词 | urban traffic carbon emission spatiotemporal pattern impact mechanism spatial and temporal geographically weighted regression |
| DOI | 10.3390/land14071355 |
| 产权排序 | 5 |
| 文献子类 | Article |
| 英文摘要 | Mitigating traffic-related carbon emissions is pivotal for achieving carbon peaking targets and advancing sustainable urban development. This study employs spatial autocorrelation and high-low clustering analyses to analyze the spatial correlation and clustering patterns of urban road traffic carbon emissions in Shaanxi Province. The spatiotemporal evolution and structural impacts of emissions are quantified through a systematic framework, while the GTWR (Geographically Weighted Temporal Regression) model uncovers the multidimensional and heterogeneous driving mechanisms underlying carbon emissions. Findings reveal that road traffic CO2 emissions in Shaanxi exhibit an upward trajectory, with a temporal evolution marked by distinct phases: stable growth-rapid increase-gradual decline. Emission dynamics vary significantly across transport modes: private vehicles emerge as the primary emission source, taxi/motorcycle emissions remain relatively stable, and bus/electric vehicle emissions persist at low levels. Spatially, the province demonstrates a pronounced high-carbon spillover effect, with persistent high-value clusters concentrated in central Shaanxi and the northern region of Yan'an City, exhibiting spillover effects on adjacent urban areas. Notably, the spatial distribution of CO2 emissions has evolved significantly: a relatively balanced pattern across cities in 2010 transitioned to a pronounced M-shaped gradient along the north-south axis by 2015, stabilizing by 2020. The central urban cluster (Yan'an, Tongchuan, Xianyang, Baoji) initially formed a secondary low-carbon core, which later integrated into the regional emission gradient. By focusing on the micro-level dynamics of urban road traffic and its internal structural complexities-while incorporating built environment factors such as network layout, travel behavior, and infrastructure endowments-this study contributes novel insights to the transportation carbon emission literature, offering a robust framework for regional emission mitigation strategies. |
| URL标识 | 查看原文 |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001535992100001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215603]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Qian, Yongsheng; Liu, Haimeng |
| 作者单位 | 1.Lanzhou Jiaotong Univ, Sch Traff & Transportat, Lanzhou 730070, Peoples R China; 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Beijing Inst Ecol Geol, Beijing 100120, Peoples R China; 4.Lanzhou Jiaotong Univ, Sch Architecture & Urban Planning, Lanzhou 730070, Peoples R China; 5.Xian Rail Transit Grp Co Ltd, Operat Branch, Xian 710016, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Qian, Yongsheng,Zeng, Junwei,Hao, Wenqiang,et al. Spatiotemporal Patterns and Drivers of Urban Traffic Carbon Emissions in Shaanxi, China[J]. LAND,2025,14(7):1355. |
| APA | Qian, Yongsheng.,Zeng, Junwei.,Hao, Wenqiang.,Wei, Xu.,Yang, Minan.,...&Liu, Haimeng.(2025).Spatiotemporal Patterns and Drivers of Urban Traffic Carbon Emissions in Shaanxi, China.LAND,14(7),1355. |
| MLA | Qian, Yongsheng,et al."Spatiotemporal Patterns and Drivers of Urban Traffic Carbon Emissions in Shaanxi, China".LAND 14.7(2025):1355. |
入库方式： OAI收割
来源：地理科学与资源研究所
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