This study aims to assess the resilience of a complex network of urban transportation from a higher-order perspective. By analyzing the interactions and dependencies between different transportation modes, it investigates how to improve the resilience of the transportation system in the face of external shocks.
The dataset contains transportation network topology information, operational performance indicators, and historical passenger flow data of multiple cities, which are mainly used to analyze and evaluate the resilience characteristics of the network.
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