Worldwide Subway Systems: Data Extraction, Topology, and Resilience

摘要

Understanding and improving urban transportation networks is one of the key challenges of the 21st century, since the economy of a region largely depends on its accessibility. Existing studies on urban transport usually collect data by hand or directly receive them from network operators, making the data inaccessible for other researchers. In this study, we use publicly-available data from Openstreetmap to extract the subway networks for more than 150 cities worldwide and propose several techniques to solve data inconsistency problems. Moreover, we investigate the potential of this data for urban complex network research and provide a preliminary comparison of the topology and the resilience of subway networks. Our work contributes towards understanding and improving cities' infrastructure from a complex network point of view.