摘要
耦合城市物理环境和人类社会活动两个层面,研究城市空间结构的时空演变特征,能够明晰城市发展的现状需求,为国土空间规划的布局提供参考.基于多源地理大数据,从城市静—动系统的协调性角度,以武汉市主城区为例,利用夜光遥感数据、POI数据、土地利用数据和道路数据,构建耦合协调度模型,从层次结构和圈层分布两方面,刻画了城市空间结构的时空演变特征.研究表明:①就时间变化而言,2010～2020年间武汉市主城区空间结构趋于完善,城市中心的范围和数量也出现了外延和增加.②就空间分布而言,主城区内空间结构的优劣分布欠均衡,总体形成了以城市中心向外围沿圈层梯度逐渐降低的格局.③利用多源地理大数据,在城市静—动系统视角下对城市空间结构特征的刻画,与城市的实际发展情况吻合度高,有助于深化对城市空间结构的理解,为国土空间规划提供参考.
Abstract
Coupled with the physical environment of the city and human social activities,the study of the spatial and temporal evolution characteristics of the city's spatial structure can clarify the current needs of urban develop-ment and provide references for the layout of territorial spatial planning.Based on multi-source geographic big data,the spatio-temporal evolution characteristics of urban spatial structure are portrayed in terms of both hier-archical structure and circle distribution from the perspective of coordination of urban static-dynamic system,taking the main urban area of Wuhan city as an example,using night light remote sensing data,POI data,land use data and road data,and drawing on the concept of coupled coordination degree.The results show that:(1)in terms of temporal changes,the spatial structure tends to be perfect in the main urban area of Wuhan between 2010 and 2020,and the scope and number of urban centers also appeared to extend and increase.(2)The distri-bution of advantages and disadvantages of spatial structure is unbalanced in the main city state for ten years,forming an overall pattern with the city center and gradually decreasing along the circle gradient towards the pe-riphery from the perspective of space.(3)The portrayal of characteristics of urban spatial structure coulping ur-ban static-dynamic system based on multi-source geographic big data is highly consistent with the actual devel-opment of the city,which is helpful to deepen the understanding of urban spatial structure and provides a refer-ence for urban planning.
基金项目
自然资源部华南热带亚热带自然资源监测重点实验室开放基金(2023NRMK02)
NETL
NSTL
万方数据