Research Article
Research on Rich-Club Phenomenon in Beijing Urban Area Based on Trajectory Data
@INPROCEEDINGS{10.4108/eai.6-1-2023.2330275, author={Xiaotong Guo}, title={Research on Rich-Club Phenomenon in Beijing Urban Area Based on Trajectory Data}, proceedings={Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China}, publisher={EAI}, proceedings_a={BDEDM}, year={2023}, month={6}, keywords={traffic network trip od rich-club gps data taxi region interaction beijing}, doi={10.4108/eai.6-1-2023.2330275} }- Xiaotong Guo
Year: 2023
Research on Rich-Club Phenomenon in Beijing Urban Area Based on Trajectory Data
BDEDM
EAI
DOI: 10.4108/eai.6-1-2023.2330275
Abstract
With the development of urbanization, urban transportation facilities have become more and more perfect, and the connection and interaction between different areas of the city have become easier. However, few studies have explored the forms of such connections and interactions between different areas of the city. Therefore, based on the GPS track data of taxis in Beijing, this study constructed directional and weighted urban travel networks, through the OD of residents' travel tracks. In addition, the forms of connections and interactions between urban areas in Beijing are investigated with the help of complex network. It is found that the relationship and interaction between urban areas in Beijing presents a typical rich-club phenomenon, and there are core members in the rich-club. Moreover, the urban areas mapped by these core members are related to the railway stations in Beijing. There are key members in the core members of the rich-club, and these key members have more interaction with other core members, and act as a bridge for other core members to connect with each other.
