基于出租车数据的城市流空间结构识别与特征研究——以广东省珠海市为例

Structure Identification and Characteristics of Urban Space of Flow Using Taxi Data:A Case Study of Zhuhai City,Guangdong Province

基于广东省珠海市2015年9月19日至25日的出租车数据,从空间交互的角度出发,应用社区发现算法对珠海城市流空间结构进行识别,并对珠海市总体和中心城区两个层面的流空间结构特征进行分析。结果表明:(1)珠海市东部的空间交互明显强于西部,且中心城区的空间交互最为显著。(2)中心城区的空间交互主要集中在拱北、吉大、香洲、上冲东部以及前山片区。(3)中心城区休息日受休闲购物活动影响显著,而工作日受早晚高峰、口岸开放和中小学生放学的影响显著。

To identify the spatial structure of urban flow in Zhuhai City of Guangdong Province,the community discovery algorithms was used with the perspective of spatial interaction.Based on the taxi data of Zhuhai from September 19 th to 25 th in 2015,the paper analyzed the spatial distribution characteristics of urban flow at municipal administrative area and central urban area.The results showed that:(1) There is a great disparity of spatial interaction lying between the east and the west of Zhuhai.The spatial interaction of east Zhuhai is obviously stronger than the west,mainly concentrated in the central urban area.(2) The spatial interaction of the central urban area is mainly concentrated in Gongbei,Jida,Xiangzhou,east of Shangchong,and Qianshan.(3) In the central urban area,the spatial interaction of weedends is significantly affected by leisure shopping activities,while that of weedends by morning and evening peak,port opening time,noon break,and time of primary and secondary school students to leave school.Through the identification and feature analysis of the spatial structure of urban flow in Zhuhai,the mechanism of urban operation can be understood more precisely in order to provide more reasonable planning strategies.