文章编号： 1672-5328（2020）04-0071-08

宋程，陈嘉超，李彩霞，艾冠韬
(广州市交通规划研究院，广东广州510030)

摘要： 城市活力区和中心城区是认识和研究城市的重要基础性信息，也是城市管控政策制定的前 提。传统调查数据难以准确界定边界，城市活力区和中心城区边界的确定多以定性为主。大数据的 兴起为城市功能区边界识别创造了条件。基于手机信令数据、互联网位置数据、兴趣点等多源数 据，建立人口综合密度、兴趣点密度两大静态指标，以及与城市中心可达性、商务休闲活动驻点密 度两大动态指标，以综合识别城市活力区和中心城区边界。动态指标和静态指标的组合使用克服单 一指标或仅静态指标识别的局限性。以广州市为例阐述了该方法的实用性，识别出广州市活力区和 中心城区的范围已与国际一流城市相当。

关键词： 手机信令数据；兴趣点；活力区；中心城区；边界识别；核密度；广州市

中图分类号： U491

文献标识码：A

Urban Vitality Zone and Central District Identification Based on Big Data: A Case Study in Guangzhou City

Song Cheng, Chen Jiachao, Li Caixia, Ai Guantao
(Guangzhou Transport Planning Research Institute, Guangzhou Guangdong 510030, China)

Abstract： The urban vitality zone and the central district are important basic information to understand and research the city, and also the premise of urban management and control policies making. It is difficult to define the boundary of urban vitality zone and central district accurately using traditional survey data, which is usually the qualitative analysis. The rise of big data provides potential for boundary identification of urban functional area. Based on cellular signaling, Internet location data, POI and other multi-source data, this paper develops two static indicators of population comprehensive density and POI density, as well as two dynamic indicators of urban center accessibility and business/leisure activity point density so as to comprehensively identify urban vitality zone and central district boundaries. The combination of dynamic and static indicators overcomes the limitations of boundary identification with single index or only static index. Taking Guangzhou as an example, the paper demonstrates the practicability of the method, and concludes that the scope of Guangzhou's vitality zone and central district is equivalent to that of world-class cities.

Keywords： cellular signaling data; POI; vitality zone; central district; boundary identification; kernel density; Guangzhou