北京大学学报(自然科学版)

城市出租车客流网络结构复杂性特征研究

刘岳峰,司若辰,康葳   

  1. 北京大学遥感与地理信息系统研究所, 北京大学空间信息集成与3S工程应用北京市重点实验室,北京 100871;
  • 收稿日期:2013-05-07 出版日期:2014-09-20 发布日期:2014-09-20

Complex Structural Properties of Urban Taxi Passenger Flow Network

LIU Yuefeng, SI Ruochen, KANG Wei   

  1. Institute of Remote Sensing and Geographic Information System, Peking Key Lab of Spatial Information Integration and Its Applications, Peking University, Beijing 100871;
  • Received:2013-05-07 Online:2014-09-20 Published:2014-09-20

摘要: 基于轨迹数据的提取与分析, 采用复杂网络理论, 开展城市出租车客流网络结构(包括拓扑结构、权重结构和空间结构)复杂性特征研究。结果显示, 出租车客流距离长度符合对数正态分布, 节点度、流量强度、距离强度的分布呈现具有“截断”特征的幂律分布, 边权亦呈现良好的幂律分布。节点的度-流量强度相关性、度-距离强度相关性呈现幂律关系。节点之间流量强度呈现微弱的正相关。研究结果反映了出租车客流网络拓扑、权重、空间结构的整体特征以及三者之间的相互关系, 有助于揭示城市空间特征、功能特征与人群移动特征之间的相互作用机制与规律。

关键词: 轨迹分析, 出租车客流网络, 复杂网络, 结构特征

Abstract: By analyzing floating taxi trajectory data, and using complex network theories, the complex structural (including topological structural, weight structural and spatial structural) properties of urban taxi passenger flow network is researched. The results indicate that the distances of taxi passenger flow obey a log-normal distribution. Distributions of degree, weight strength and distance strength of nodes indicate power-law decay with a “cut-off”. Weight distribution of edges also fits a power-law distribution quite well. There are strong power-law correlations between degree and both weight strength and distance strength. The assortative mixing of weight strength of nodes shows a slight positive correlation. These results indicate the relationships of topological, weight and spatial structural properties of taxi passenger flow network, and will be beneficial for revealing the interplaying mechanism and principles among urban spatial, functional and population travel characteristics.

Key words: trajectory analysis, taxi passenger flow network, complex network, structural properties

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