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Quantitative analysis of the relationships between dockless bike sharing and public transport: A trip-level perspective

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References

2015Bikeshare: A Review of Recent Literature879 cited
2014Evaluating public transit modal shift dynamics in response to bikesharing: a tale of two U.S. cities361 cited
2020Built environment effects on the integration of dockless bike-sharing and the metro324 cited
2017Sharing riders: How bikesharing impacts bus ridership in New York City298 cited
2020A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data243 cited
2015Analysing bicycle-sharing system user destination choice preferences: Chicago’s Divvy system199 cited
2020Deciphering the relationship between bikesharing and public transit: Modal substitution, integration, and complementation181 cited
2020Bike sharing use in conjunction to public transport: Exploring spatiotemporal, age and gender dimensions in Oslo, Norway175 cited
2020Micromobility evolution and expansion: Understanding how docked and dockless bikesharing models complement and compete – A case study of San Francisco171 cited
2019Impacts of free-floating bikesharing system on public transit ridership146 cited
2020Dockless bike sharing alleviates road congestion by complementing subway travel: Evidence from Beijing115 cited
2019Measuring immediate impacts of a new mass transit system on an existing bike-share system in China93 cited
2022The spatially varying effects of built environment characteristics on the integrated usage of dockless bike-sharing and public transport

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87 cited

2021Analysis on bike-share ridership for origin-destination pairs: Effects of public transit route characteristics and land-use patterns64 cited

2021Spatial and temporal analysis of bike-sharing use in Cologne taking into account a public transit disruption50 cited

2018Associations between Public Transit Usage and Bikesharing Behaviors in The United States48 cited

Cited by

2025Investigating the influencing factors of cooperation between shared e-bikes and subway systems: A multivariate data analysis5 cited
2025Interpretable spatial machine learning for exploring environment-bike-sharing relationships: insights from Futian, Shenzhen2 cited