Exploring the Nonlinear Effects of Built Environment on Bus-Transfer Ridership: Take Shanghai as an Example

In this paper, the nonlinear effects of the built environment on bus–metro-transfer ridership are explored, based on Shanghai metro data, with an extreme gradient-boosting decision-trees (XGBoost) model. It was found that the bus-network density had the largest influence on transfer ridership, contr...

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Bibliographic Details

Main Authors:	Ding Liu, Wuyue Rong, Jin Zhang, Ying-En (Ethan) Ge
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2022-06-01
Series:	Applied Sciences
Subjects:	built environment transfer ridership extreme gradient-boosting decision tree nonlinear effect bus–metro connection characteristics
Online Access:	https://www.mdpi.com/2076-3417/12/11/5755
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