Liu Ming, Li Ruicong, Li Yiwei, Al-Mowallad Ezzaddeen Ali Mohammed Saeed, Wu Chenglong, Wang Wenjing
School of Architecture and Fine Art, Dalian University of Technology, No.2, Ling Gong Road, Gan Jing Zi District, Dalian, 116024, Liao Ning province, China.
Sci Rep. 2025 Jul 11;15(1):25113. doi: 10.1038/s41598-025-10378-3.
The identification and distribution of urban functional zones play a crucial role in optimizing urban planning and resource allocation. The differences in brightness of the nocturnal light environment further reveal the characteristics of urban functions. This study takes the main urban area of Dalian as an example, integrates Point of Interest and OpenStreetMap data to generate functional zone samples, and proposes a multi-scale evaluation framework at the levels of administrative districts, streets, and blocks, combined with Luojia-1 night-time remote sensing imagery. The results show that: (1) Significant differences in brightness exist among functional zones within the study area, and there is a mismatch between actual demand and nighttime light brightness; (2) The Average Nighttime Radiance per Unit Area and Brightness Factor can more accurately reflect the distribution characteristics of urban nighttime light brightness; (3) Clustering based on the Brightness Factor reveals over-bright and under-bright blocks, identifying commercial and port-industry areas as hotspots of excessive nighttime lighting. This study dissects the spatial heterogeneity of the nocturnal light environment from the perspective of urban functional zoning and provides quantitative support for the development of differentiated lighting management policies.
城市功能区的识别与分布对优化城市规划和资源配置起着至关重要的作用。夜间光环境的亮度差异进一步揭示了城市功能的特征。本研究以大连主城区为例，整合兴趣点和开放街道地图数据以生成功能区样本，并结合珞珈一号夜间遥感影像，提出了行政区、街道和街区层面的多尺度评价框架。结果表明：（1）研究区内功能区之间存在显著的亮度差异，实际需求与夜间灯光亮度不匹配；（2）单位面积平均夜间辐射和亮度因子能更准确地反映城市夜间灯光亮度的分布特征；（3）基于亮度因子的聚类揭示了过亮和过暗的街区，将商业区和港口工业区识别为夜间照明过度的热点区域。本研究从城市功能分区的角度剖析了夜间光环境的空间异质性，为制定差异化照明管理政策提供了定量支持。
