Understanding the determinants of young commuters’ metro-bikeshare usage frequency using big data

Abstract

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Bike Share Usage and the Built Environment: A Review

“…As one of the feeder modes of metro transit, public buses can substitute bike share on connecting the metro station ( 56 ). Therefore, the high-quality bus service (i.e., bus stops/lines) in metro catchment areas results in increasing competition between bike share and public buses ( 14 , 19 , 48 , 58 , 59 ), thereby reducing the bike share–metro integration. Notably, the transfer distance of connecting the metro station is the key determinant of bike share–metro integration.…”

“…Given an increasing integrated usage of bike share and transit, more studies continue to be needed on how the urban built environment shapes the bike share-metro and bike share-bus integrations. Although several relevant studies have been conducted ( 19 , 44 , 58 , 59 , 72 ), these studies are lacking in identifying the different effects of the built environment on several types of bike share-metro integration, including the access to transit (from home or workplace) and egress from transit stations (to home or workplace). Additionally, the built environment around home/workplace, along the access/egress trip, and around the metro station also have different effects on choosing bike share as a feeder mode.…”

Estimation of Route Choice Behaviors of Bike-Sharing Users as First- and Last-mile Trips for Introduction of Mobility-as-a-Service (MaaS)

“…Moreover, as a mode of connecting to the public transit modes, bicycles have been regarded as a sustainable mode of transportation necessary for the establishment of an integrated public transit network. Studies on bicycle use have been carried out to grasp the characteristics of the integrated system in consideration of the connection with the existing transportation facilities (Lin et al, 2018;Guo and He, 2020;Liu et al, 2020). This study not only considered the linkage with existing transportation facilities, but also estimated the route choice behaviors to improve the accessibility of the subway and the bike-sharing stations.…”

Identification Dockless Bike-Sharing and Metro Transfer Travelers through Mobility Chain

“…Tis inherent heterogeneity distinguishes the DBS scenario from the relatively straightforward transfer between buses and metro systems within an urban PT framework. While some studies have investigated shared bicycle-to-metro transfers using docked bike-sharing systems and a unifed smart card system shared with public transportation [5,6], these primarily focus on docked platforms, overlooking the dynamic nature of dockless bike-sharing systems. Hence, the immediate challenge is to ascertain how to employ data from the PT system and DBS to accurately identify DBS-metro transfer travelers with a refned spatial-temporal granularity.…”