Time-varying and non-linear associations between metro ridership and the built environment

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Linchuan Yang
  • Bingjie Yu
  • Yuan Liang
  • Yi Lu
  • Wenxiang Li

Detail(s)

Original languageEnglish
Article number104931
Journal / PublicationTunnelling and Underground Space Technology
Volume132
Online published28 Dec 2022
Publication statusPublished - Feb 2023

Abstract

The metro is the backbone of the transport system in many cities. Analyzing the built-environment correlates of metro ridership is crucial for transit-oriented development (TOD) planning and practice. Although numerous studies went along this line, they have rarely considered the non-linearity and temporal heterogeneity in the association of metro ridership with the built environment. After collecting transit smart card data, geo-data, and mobile phone signal data, this study adopts the random forest model to reveal the complex association of hourly metro ridership in November 2019 in Chengdu (China) with the built environment in three times of day (i.e., morning peak, noon off-peak, and evening peak hours). Notably, the contribution of several variables, such as the number of station entrances/overpasses and parking density, has rarely been considered in the literature. The results confirm the presence of non-linearity and temporal heterogeneity in the aforementioned association. Access to the city center and population density are strong predictors of metro ridership in the morning peak hour, whereas employment density, enterprise density, and road density are strong predictors in the evening peak hour. There are great differences in the correlates of metro ridership in different periods. Critical TOD planning parameters are also identified from the partial dependence plots obtained from random forest modeling.

Research Area(s)

  • Chengdu, Machine learning, Non-linearity, Physical environment, Random forest, Temporal heterogeneity, Urban rail transit

Citation Format(s)

Time-varying and non-linear associations between metro ridership and the built environment. / Yang, Linchuan; Yu, Bingjie; Liang, Yuan et al.
In: Tunnelling and Underground Space Technology, Vol. 132, 104931, 02.2023.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review