交通信息化对中国“一带一路”沿线省域交通碳排放影响的时空分异格局

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摘要选取中国“一带一路”沿线17个省级行政单位作为基本空间单元,建立2012~2022年“一带一路”交通信息化评价指标体系,采用双变量空间相关性分析交通信息化与交通碳排放之间的相关关系,使用地理探测器来研究交通信息化对交通碳排放影响的时空异质性.结果表明,“一带一路”沿线省域的交通信息化发展水平不一,对外窗口区和开放先行区的交通信息化发展较为成熟,丝路核心区和战略支点区的交通信息化发展相对较落后;双变量空间自相关指数为0.1917~0.4001,整体呈下降趋势,显著性水平介于0.008~0.060,高-高集聚主要分布在开放先行区,低-低集聚主要分布在丝路核心区,高-低集聚主要分布在对外窗口区和战略支点区,且分布在高-低集聚的省域逐年增多;交通信息化系统应用是影响“一带一路”沿线整体交通碳排放空间分异格局的主导驱动因子,其决定力均值最大达0.53,不同省域间影响交通碳排放空间分异的驱动因子存在差异,且驱动因素之间存在较强的协同性.

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	石璟晶
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关键词 ： “一带一路”, 交通碳排放, 交通信息化, 时空异质性, 地理探测器

Abstract：The administrative units of 17provinces along the Belt and Road in China were selected as basic spatial units. Firstly, the evaluation index system for transportation informatization along the Belt and Road from 2012 to 2022 was established. Secondly, a bivariate spatial correlation analysis was conducted to explore the relationship between transportation informatization and transportation carbon emissions. Lastly, a geographical detector was employed to investigate the spatial-temporal heterogeneity of the impact of transportation informatization on transportation carbon emissions. The results indicated varying levels of transportation informatization development among provinces along the Belt and Road, with more mature developments observed in external window regions and pioneering open areas, while relatively lagging in the Silk Road core area and strategic fulcrum regions. The bivariate spatial autocorrelation index ranged from 0.1917 to 0.4001, exhibiting an overall downward trend, with significance levels ranging from 0.008 to 0.060. High-high clusters were primarily distributed in pioneering open areas, low-low clusters in the Silk Road core area, and high-low clusters in external window regions and strategic fulcrum regions, with an increasing number of provinces falling into the latter category over time. The application of transportation informatization systems emerged as the dominant driving factor influencing the spatial differentiation pattern of overall transportation carbon emissions along the Belt and Road, with a maximum average determinant power of 0.53. Differences existed in the driving factors influencing spatial differentiation of transportation carbon emissions among different provinces, and there was strong synergy among these factors.

Key words： The Belt and Road transportation carbon emissions transportation informatization spatial and temporal differentiation pattern geographic detector

收稿日期: 2024-02-22

PACS:

X24

基金资助:国家自然科学基金(52162041);甘肃省科技计划资助(24JRRA255);兰州市青年科技人才创新项目(2023-QN-125)

通讯作者: 赵红星,副教授,zhaohx@mail.lzjtu.cn E-mail: zhaohx@mail.lzjtu.cn

作者简介: 石璟晶(1999-),女,陕西西安人,兰州交通大学硕士研究生,主要研究方向为交通运输低碳管理.shijjing@foxmail.com.

引用本文:

石璟晶, 赵红星, 聂江龙, 何瑞春, 刘萍. 交通信息化对中国“一带一路”沿线省域交通碳排放影响的时空分异格局[J]. 中国环境科学, 2024, 44(10): 5885-5900. SHI Jing-jing, ZHAO Hong-xing, NIE Jiang-long, HE Rui-chun, LIU Ping. Spatial and temporal patterns of impact of transportation informatization on transportation carbon emissions in provinces along the Belt and Road in China. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(10): 5885-5900.

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http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2024/V44/I10/5885

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