Original scientific paper
https://doi.org/10.7307/ptt.v35i6.273
Investigating the Multiscale Impact of Environmental Factors on the Integrated Use of Dockless Bike-Sharing and Urban Rail Transit
Wenjing Liu
; School of Traffic and Transportation, Shandong University of Technology
Jinbao Zhao
; School of Traffic and Transportation, Shandong University of Technology
Jiawei Jiang
; School of Traffic and Transportation, Shandong University of Technology
Mingxing Li
; School of Traffic and Transportation, Shandong University of Technology
Yuejuan Xu
; School of Traffic and Transportation, Shandong University of Technology
Keke Hou
; School of Traffic and Transportation, Shandong University of Technology
Shengli Zhao
; School of Traffic and Transportation, Shandong University of Technology
Abstract
Dockless bike-sharing (DBS) is an effective solution to the “first and last mile” problem in urban transportation. It can be integrated with urban rail transit (URT) to provide passengers with more convenient travel services. This study focuses on the integrated use of DBS and URT in Shenzhen, utilising a multi-buffer zone approach to identify DBS data within URT station catchment areas. By employing ordinary least squares (OLS), geographically weighted regression (GWR) and multiscale geographically weighted regression (MGWR) models, the spatiotemporal heterogeneity of integrated use and its relationship with environmental factors surrounding URT stations were examined. The empirical findings highlight the superiority of the MGWR model in accurately explaining spatial relationships compared to the OLS and GWR models. Furthermore, the study reveals that the impact of built environment factors on integrated use varies during morning and evening peak periods, as well as in terms of access and egress. Specifically, factors such as catering, shopping, companies, residential buildings, bus stops, minor roads, transfer stations and population density were found to influence the integrated use of DBS and URT. These findings not only contribute to the promotion of the DBS-URT integration but also promote the overall development of urban transportation.
Keywords
bike-sharing; urban rail transit; multiscale geographically weighted regression; environmental factors
Hrčak ID:
312925
URI
Publication date:
20.12.2023.
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