Node importance identification method for urban rail transit networks based on improved mutual information considering inter-station cross-dependencies

Key Points

• Node importance identification reveals crucial roles of specific stations in urban rail transit networks, enhancing overall efficiency.
• Using an advanced mutual information approach, this analysis highlights inter-station cross-dependencies to improve network performance.
• The study employs a data modeling technique to assess node significance within urban rail transit systems, facilitating better resource allocation.
• Findings suggest this method may enhance transit planning and reliability, potentially impacting urban transportation policies.