大数据时代的城市功能区及其可视化

Zehan Yang
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引用次数: 0

摘要

城市功能区研究可以检验城市土地利用的合理性,优化城市空间结构。以北京市为例,利用地理信息系统(GIS)技术和兴趣点(POI)数据,研究了基于核密度分析方法的城市功能区结构。结果表明,北京市餐饮服务业主要集中在市中心,郊区分布较少。住宅小区在空间上分隔相对均匀,大部分小区面积分布密度较高。基于城市居住的需求,居住区伴随着公园和广场,这两类数据具有几乎相同的空间分布特征。购物中心主要分布在城市中心,与当地的消费水平相互联系。每个地区都必须有医院。综上所述,分析结果表明,北京市功能性土地利用在周边地区呈现高度集中、稀疏分散、覆盖较少的分布格局,说明北京市中心城区功能性土地利用相对饱和,郊区功能性土地利用仍在发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Urban Functional Area and Its Visualization in the Era of Big Data
The study of urban functional area can test the rationality of urban land use and optimize the urban spatial structure. Taking the urban area of Beijing as an example, this paper studies the structure of urban functional area based on the kernel density analysis method by using geographic information system (GIS) technique and the point of interest (POI) data. The results show that the catering services in Beijing are mostly concentrated in the city center, while few of them are distributed in the suburbs. Residential areas are separated relatively even in spatial, there is high distribution density in most district area. Based on the demand of urban residential, residential areas are accompanied with parks and squares, and these two types of data have almost the same spatial distribution features. Shopping malls are mainly distributed in the city center, which is interconnected with the local consumption level. Hospitals are necessarily located in every region. To sum up, the analysis result demonstrates that the distribution pattern is highly centralized and sparsely dispersed in the surrounding areas with less coverage, which shows that the functional land use in Beijing is relatively saturated in the downtown area, and is still developing in the suburb areas.
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