Abstract

Modeling and analyzing metro station ridership is of great importance to passenger flow management and transportation planning operations. In practice, ridership can be affected by multiple factors, including spatial factors (distance and network topology), temporal factors (e.g., period and trend), and external factors (e.g., land use and socioeconomics). However, existing studies mainly focus on external factors but are rarely concerned with investigating temporal influencing factors on metro station ridership.

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