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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Ding Liu, Wuyue Rong, Jin Zhang, Ying-En (Ethan) Ge
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-06-01
coleção:	Applied Sciences
Assuntos:	built environment transfer ridership extreme gradient-boosting decision tree nonlinear effect bus–metro connection characteristics
Acesso em linha:	https://www.mdpi.com/2076-3417/12/11/5755
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!