A Random Forest (RF) model was employed to uncover the nonlinear and temporal heterogeneity relationship between the built environment and subway passenger flows during three different time periods within a day in Chengdu, China.

Uncovering Nonlinear and Temporal Heterogeneity in Built Environment-Subway Passenger Flow Relationship in Chengdu

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