PROGRESS IN GEOGRAPHY ›› 2017, Vol. 36 ›› Issue (9): 1149-1157.doi: 10.18306/dlkxjz.2017.09.011

• Special Issue: Urban Cultural Sensing and Computing • Previous Articles     Next Articles

Spatial interaction network analysis of urban traffic hotspots

Kun QIN1,2(), Qing ZHOU3, Yuanquan XU1, Wenting XU1, Ping LUO1   

  1. 1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
    2. Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China
    3. Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510060, China;
  • Online:2017-09-27 Published:2017-09-27
  • Supported by:
    National Key Research and Development Program, No. 2017YFB0503604;National Natural Science Foundation of China, No. 41471326


Urban traffic hotspots refer to the areas where residents visit frequently. Travels of urban residents generate interactions between urban areas, which form a spatial interactive network. Existing research mainly focuses on hotspot extraction and their dynamic change, but there are few studies that examine the interaction of traffic hotspots and the spatial interaction network. Based on the taxi trajectory data in Wuhan City, we detect the urban traffic hotspots by spatiotemporal data field clustering and further analyze the spatial interaction among urban hotspots based on the complex network theory. The results show that: (1) There is a large amount of interaction between the hotspots on holidays, and less interaction between the hotspots on weekdays; (2) The nodes with great influence are the bus and train stations, airports, and so on, on holidays, and the nodes with great influence are normally residential communities, workplace, and so on, on weekdays; (3) The results of community detection found that there is more interaction across the Yangtze River on weekdays, and little interaction across the Yangtze River on holidays. The study results can provide a reference for traffic management to develop different management strategies and methods for holidays and workdays. Investigating the interaction of human behaviors with urban environment, transportation, and geographical regions from the viewpoint of spatial interaction network is an innovative interdisciplinary research field crossing geographical information science, management science, and humanities and social sciences

Key words: urban traffic hotspots, spatial interaction network, complex network, community detection, rajectory clustering, spatiotemporal data field, Wuhan City