Visualizing road connectivity under traffic influence: a CiteSpace-based method

作者：L. Jiang, Jingyu Jiang, Xiaohan Liu, Zidong Fang, Tianyu Liu, Xi Wang, Meng Gao, Hua Shu, Tao Pei · 发表于：Cartography and Geographic Information Science · 年份：2024 · DOI：10.1080/15230406.2024.2310884 · 被引用次数：3 · 研究领域：Data Visualization and Analytics、Human Mobility and Location-Based Analysis、Traffic Prediction and Management Techniques

The connectivity of roads under the influence of traffic is determined by the topological connections established by the road network and the transport connections formed by moving vehicles between two roads simultaneously. A thorough examination of this connectivity is crucial for comprehending traffic patterns and providing guidance to address transportation issues such as traffic congestion. However, existing methods ignore the intuitive representation and explanation of this connectivity, limiting the understanding of actual traffic patterns. This study aimed to intuitively visualize the connectivity of roads under the influence of traffic using CiteSpace, a bibliometric tool for analyzing the relationship between literature keywords. Here, the literature was replaced by trajectory, and keywords were replaced by roads. We then presented the connectivity of roads under the influence of traffic in a network, where nodes represented roads and edges represented the topological and transport connections between roads. A case study was conducted in Beijing, demonstrating the dynamic connectivity of roads under the influence of traffic in the visualized network. By comparing the visualized network with the topological road network, we identified three types of road connectivity under the influence of traffic: roads with topological connections but lacking transport connections, roads with transport connections but lacking topological connections, and roads with both topological ...