A semi-supervised co-training model for predicting passenger flow change in expanding subways

作者：

Highlights：

• Section passenger flow change in expanding subway is analyzed and predicted.

• Geographic properties influencing passenger flow change are discovered.

• A semi-supervised co-training model is proposed to improve prediction accuracy.

摘要

•Section passenger flow change in expanding subway is analyzed and predicted.•Geographic properties influencing passenger flow change are discovered.•A semi-supervised co-training model is proposed to improve prediction accuracy.

论文关键词：Expanding subway,Passenger flow change,Geographic properties,Semi-supervised model

论文评审过程：Received 16 May 2022, Revised 8 July 2022, Accepted 26 July 2022, Available online 28 July 2022, Version of Record 10 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118310