Kang Tingting, Wang Han, He Zhangyuan, Liu Zhengying, Ren Yang, Zhao Pengjun
School of Urban Planning and Design, Peking University, Shenzhen Graduate School, China; Key Laboratory of Earth Surface System and Human-Earth Relations of Ministry of Natural Resources of China, China.
School of Urban Planning and Design, Peking University, Shenzhen Graduate School, China; School of Urban and Environmental Sciences, Peking University, China; Key Laboratory of Earth Surface Processes of Ministry of Education of China, China.
Sci Total Environ. 2023 Apr 20;870:161873. doi: 10.1016/j.scitotenv.2023.161873. Epub 2023 Jan 31.
Land use change caused by urbanization is widely believed to be the primary way human activities affect energy use and, thus, CO emissions (CEs) in China. However, there is a limited understanding of the role of land use with detailed categories in energy-related CEs is still absent. This paper aims to narrow the knowledge gap using multi-dimension metrics, including land use scale, mixture, and intensity. These metrics were derived from three years of sequential POI data. A GWR analysis was carried out to examine the associations between land use change and energy-related CEs. Our results show that (1) the scale of most land use types exerted a bidirectional effect on CEs, demonstrating apparent spatiotemporal heterogeneity; (2) land use mixture of mature city agglomerations had a significant suppressive effect on CEs, suggesting mixed land use be advocated in the urbanization process; (3) Land use intensity had a bi-directional association with CEs in most cities, but its adverse effect gradually spread from the west to the northeast. Therefore, systematically regulating land transaction to control land scale, appropriately interplanting biofuel plants, and utilizing renewable energy are encouraged to reduce energy footprints and mitigate CEs in China. The findings and conclusions of this paper enhance our knowledge on the relationship between land use and CEs and present the scientific basis for policy-making in building low-carbon cities in the context of rapidly urbanizing China.
城市化引起的土地利用变化被广泛认为是人类活动影响能源使用的主要方式，进而也是影响中国碳排放（CEs）的主要方式。然而，对于详细分类的土地利用在与能源相关的碳排放中所起的作用，人们的认识仍然有限。本文旨在利用包括土地利用规模、混合度和强度在内的多维度指标来缩小这一知识差距。这些指标源自连续三年的兴趣点（POI）数据。进行了地理加权回归（GWR）分析，以检验土地利用变化与能源相关碳排放之间的关联。我们的结果表明：（1）大多数土地利用类型的规模对碳排放产生双向影响，呈现出明显的时空异质性；（2）成熟城市群的土地利用混合度对碳排放有显著抑制作用，这表明在城市化进程中应提倡混合土地利用；（3）在大多数城市，土地利用强度与碳排放存在双向关联，但其不利影响逐渐从西部向东北部扩散。因此，鼓励系统地规范土地交易以控制土地规模、适当间种生物燃料作物以及利用可再生能源，以减少中国的能源足迹并减轻碳排放。本文的研究结果和结论增进了我们对土地利用与碳排放关系的认识，并为中国快速城市化背景下建设低碳城市的政策制定提供了科学依据。
