摘要
不同职能类型商业中心识别对研究城市商业空间结构有重要意义。与传统识别方法相比,大数据的分析更为精确和便捷。本文以广州市核心区59125条城市热点(POI)数据为基础,利用核密度分析、统计分析、最邻近距离分析等方法识别广州市多类型商业中心的边界,探索其商业空间结构与模式。结果表明:1广州市商业结构呈现明显双核集聚式分布,传统的越秀分区与现代的天河分区构成当前广州市商业空间的双中心;2不同类型的商业中心在空间上呈现显著分异,其中城市生活与公共服务中心在越秀区,商务与金融中心在天河区,休闲娱乐中心呈现分散集聚式特征;3广州市商业结构的空间模式是"圈层+组团"式分布,其中,生活、公共服务、商务职能集中分布于内圈层,娱乐休闲职能呈组团状镶嵌于各圈层中。
The identification of different functional types of commercial center in a city is of great significance to understanding the spatial structure of business. Compared to the traditional methods, the analysis of big data produces more accurate result and is more convenient. Taking the 59125 POI (Point of Interest) data of Guangzhou City as the basic data, we identified the boundaries of the multi-functional commercial centers and explore their spatial structure and pattern by using the methods of kernel density analysis, statistical analysis, and nearest distance analysis. The result shows that: (1) The commercial area structure presents a clear dual-core distribution, with the Yuexiu District and the Tianhe District constituting the cores. (2) Different types of commercial centers show clear spatial variations. The urban services center and the public service center are located in the Yuexiu District and the business center and the financial center are located in the Tianhe District. Entertainment centers present the characteristics of dispersed clusters. (3) The spatial structure of business is a combination of zones and clusters. The urban services, public service, and business functions are concentrated in the inner zones and the entertainment functions can be found in all areas.
出处
《地理科学进展》
CSCD
北大核心
2016年第8期963-974,共12页
Progress in Geography
基金
国家自然科学基金项目(41401164
41301132)
广州市科技计划项目(201510020011
201609020002)~~
关键词
商业地理
商业空间结构
商业中心
城市热点(POI)
广州
business geography
spatial structure of business
commercial center
POI (Point of Interest)
Guangzhou