Wang Yadan, Tian Shenzhen, Li Hang, Li Xueming, Yang Jun, Wu Wenmei
School of Geography, Liaoning Normal University, Dalian, 116029, Liaoning, China.
Center for Human Settlements, Liaoning Normal University, Dalian, 116029, Liaoning, China.
Sci Rep. 2025 May 3;15(1):15476. doi: 10.1038/s41598-025-00286-x.
Exploring the development of human settlements is crucial in creating a "Beautiful China" accelerating central China region growth, improving human settlements geography research, and advancing the human-land system theory. This study constructs a theoretical framework for the coupling and coordination of pseudo and reality human settlements and takes the Central Plains Urban Agglomeration as the study area. It investigated the dynamic evolution and driving mechanisms of pseudo and reality human settlements in the Central Plains urban agglomeration using multi-source big data from online shopping, social communication, information search, and remote sensing images during 2011-2021 and conducted comprehensive, kernel density, coupling coordination degree, and obstacle degree analyses. The results show that: (1) Temporal development exhibited phased growth with disparities across dimensions. (2) Spatial patterns exhibited core-driven development, followed by ""-shaped development and comprehensive ""-shaped development. (3) The coupling coordination is on a growing trend, and the laddering development is clearly characterized. (4) Natural population growth rate and urbanization rate, etc. are the main obstacle factors of the reality human settlements; Taobao and Baidu maps, etc. are the main obstacle factors of the pseudo human settlements.
探索人类住区发展对于建设“美丽中国”、加速中部地区崛起、完善人文地理学研究以及推进人地系统理论具有至关重要的意义。本研究构建了虚拟与现实人类住区耦合协调的理论框架,并以中原城市群为研究区域。利用2011—2021年来自网络购物、社交通信、信息搜索和遥感影像的多源大数据,研究了中原城市群虚拟与现实人类住区的动态演变及驱动机制,并进行了综合分析、核密度分析、耦合协调度分析和障碍度分析。结果表明:(1)时间发展呈现阶段性增长,各维度存在差异。(2)空间格局呈现核心驱动发展,其次是“-”形发展和综合“-”形发展。(3)耦合协调呈上升趋势,梯次发展特征明显。(4)自然人口增长率和城镇化率等是现实人类住区的主要障碍因素;淘宝和百度地图等是虚拟人类住区的主要障碍因素。