摘要
针对目前城市中心体系研究现状,在传统分析的基础之上,将大数据技术有机引入到城市中心体系识别研究之中,通过ArcGIS空间分析模块在传统三维空间的基础上引入时间的概念构建出城市中心体系在四维空间变化特征研究的新思路。合肥市中心城区案例研究显示:城市中心体系呈现三级分布的状态,通过对合肥市9个城市中心的分析研究并引入空间聚集度IR这一指标,测算出合肥市城市早期建设范围内城市中心体系的空间聚集程度和聚集规模均大于城市新区,合肥市正处于由单中心向多中心发展的转变时期。研究表明,基于大数据信息构建的空间分析模型能为城市中心体系的识别与划定及时空间分异研究提供更为精准高效的工具和方法。
In view of the current research status of urban center systems,based on traditional analysis,big data technology is introduced into the identification research of urban center systems,Based on the traditional three-dimensional space,the ArcGIS spatial analysis module introduces the concept of time to construct a new way of studying the change characteristics of urban center system in the four-dimensional space.The case study of the downtown area of Hefei shows that the city center system presents a three-level distribution.Through the analysis and research of 9 city centers in Hefei and introducing the index of spatial aggregation degree IR,the city centers within the scope of the early construction of Hefei city.The spatial concentration and scale of the system are larger than those of the new urban area,and Hefei is in a transition period from a single center to a multi-center development.Research shows that the real-time and dynamic characteristics of LBS big data can make up for the lack of traditional data.A spatial analysis model based on big data information can provide more accurate and efficient tools for the identification and delineation of urban center systems and the study of spatial differentiation.method.
作者
卢方涛
张晓瑞
张奇智
LU Fangtao;ZHANG Xiaorui;ZHANG Qizhi(School of Architecture and Art,Hefei University of Technology,Hefei 230601,China;Digital Living Environment Research Laboratory,Hefei University of Technology,Hefei 230601,China.)
出处
《安徽建筑大学学报》
2020年第5期35-41,共7页
Journal of Anhui Jianzhu University
关键词
城市中心体系
识别
LBS大数据
空间分异
合肥
urban center system
identification
LBS big data
space differentiation
Hefei
