Integrated Prediction Model for Urban Rail Transit Station Feeder Passenger Flow

• Published in: Chengshi Guidao Jiaotong Yanjiu Vol. 27; no. 2; pp. 88 - 94
• Main Authors: Junchen DAI, Ping LI, Ying CUI, Xiaojing LING, Yanmei PENG
• Format: Journal Article
• Language: Chinese
• Published: Urban Mass Transit Magazine Press 01.02.2024
• Subjects: feeder passenger flow; station; urban rail transit
• ISSN: 1007-869X
• DOI: 10.16037/j.1007-869x.2024.02.017

[Objective] The rational coordination of feeder facilities is crucial for maximizing the functionality of urban rail transit. To quantitatively describe the distribution of passenger flows originating from urban rail transit stations and the mode share of feeder transportation, an integrated prediction model for feeder passenger flow is proposed. [Method] The current research status on domestic and international studies related to source region delineation, station selection models, and feeder mode selection is reviewed. The above integrated prediction model is established, consisting of feeder mode selection and station selection models, and both employ a nested Logit model. The Logsum from the ROOT layer of the feeder mode selection model serves as a connector between the two models. [Result & Conclusion] The Logsum output from the ROOT layer of the feeder mode selection model is utilized to characterize the comprehensive competitiveness of various feeder modes for spatial points, offering a more comprehens