城市交通热点区域的空间交互网络分析

发布时间：2018-06-28 02:11

本文选题：城市交通热点 + 空间交互网络　；参考：《地理科学进展》2017年09期

【摘要】：城市热点区域是人们频繁活动的体现,利用人们的出行可构建空间交互网络。目前的相关研究主要集中于对热点提取方法及其动态变化的研究,对交通热点的交互作用及其构成的空间交互网络的研究还很少。本文以武汉市的出租车轨迹为数据源,利用基于时空数据场的聚类方法提取城市交通热点区域;基于复杂网络理论与方法,分析城市交通热点区域之间的空间交互作用。通过研究发现:(1)节假日,热点区域之间的往返交互较多;工作日,热点区域之间的交互较少;(2)节假日,影响力较大的节点为车站、机场等;工作日,影响力较大的节点是社区和工作地;(3)社团探测发现,工作日跨越长江的交互较多,非工作日跨越长江的交互较少。上述研究结论可为交通管理部门针对节假日和工作日分别制定不同的交通管理政策和方法提供参考。
[Abstract]:Urban hot spots are the embodiment of people's frequent activities, and spatial interactive networks can be constructed by using people's trips. The current research focuses on the hot spot extraction method and its dynamic change, and the research on the interaction of traffic hot spot and the spatial interactive network is still few. In this paper, the taxi track in Wuhan is used as the data source, and the clustering method based on spatio-temporal data field is used to extract the urban traffic hot spots, and based on the complex network theory and method, the spatial interaction between the urban traffic hot spots is analyzed. Through the study found: (1) holidays, the hot spots between the interaction between more; working days, the interaction between the hot spots is less; (2) holidays, the most influential nodes are stations, airports, etc.; working days, The most influential nodes are community and working place. (3) Community detection found that there are more interactions across the Yangtze River during the working day and less interaction across the Yangtze River during the non-working day. These conclusions can provide reference for traffic management departments to formulate different traffic management policies and methods for holidays and working days.
【作者单位】：武汉大学遥感信息工程学院;地球空间信息技术协同创新中心;广州市城市规划勘测设计研究院;
【基金】：国家重点研发计划项目(2017YFB0503604) 国家自然科学基金项目(41471326)~~
【分类号】：U12

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