摘要
随着共享单车的广泛使用和位置数据的大量获取,为分析城市居民出行特征及理解城市功能特点提供了数据支持。本文采用空间统计的方法提取街区共享单车流动的时空特征,在此基础上提出顾及街区内和街区间单车流动时空特征的街区相似度计算模型,挖掘单车与城市功能区的关系。最后,以北京市老城区居住类型街区为实证对象,结合北京市老城区电子地图及用地布局规划图探讨了共享单车流动特征与居住街区的相互关系,并对其成因做出了简要的分析,证明了该文所提出方法的有效性。
With the widespread use of shared bicycles and the acquisition of a large amount of location data,data support is provided for analyzing the travel characteristics of urban residents and understanding the characteristics of urban functions. This paper uses the method of spatial statistics to extract the spatiotemporal characteristics of the shared bicycle flow in the blocks. On this basis, a block similarity calculation model that takes into account the spatiotemporal characteristics of the bicycle flow within and between blocks is proposed to explore the relationship between bicycles and urban functional areas. Finally, taking the residential blocks in the old urban area of Beijing as the empirical object, combined with the electronic map of the old urban area of Beijing and the land use layout plan, this paper discusses the relationship between the flow characteristics of shared bicycles and the residential blocks, and makes a brief analysis of its causes. The effectiveness of the method proposed in this paper is proved.
作者
舒洪畅
Shu Hongchang(Beijing University of Civil Engineering and Architecture,School of Geomatics and Urban Spatial Information,Beijing 102616,China)
出处
《科学技术创新》
2022年第11期17-20,共4页
Scientific and Technological Innovation
关键词
共享单车
时空特征
相似度计算
Bicycle-sharing
Spatiotemporal characteristics
Similarity calculation
