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An origin-destination level analysis on the competitiveness of bike-sharing to underground using explainable machine learning

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References

2013Bike Share: A Synthesis of the Literature712 cited
2012Where do cyclists ride? A route choice model developed with revealed preference GPS data693 cited
2015Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto570 cited
2014Bike share’s impact on car use: Evidence from the United States, Great Britain, and Australia506 cited
2014How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal486 cited
2015Bikeway Networks: A Review of Effects on Cycling465 cited
2007Factors Affecting Bicycling Demand423 cited
2010Cycling for transport and public health: a systematic review of the effect of the environment on cycling408 cited
2020The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike395 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
2014Factors influencing bike share membership: An analysis of Melbourne and Brisbane313 cited
2019How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds311 cited

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2017

Sharing riders: How bikesharing impacts bus ridership in New York City

298 cited

2016Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China258 cited

2013Are Bikeshare Users Different from Regular Cyclists?254 cited

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2025Shared e-bikes demand in urban mobility: Temporal heterogeneity, driving factors, and strategic implications10 cited
2024To what extent walking and biking are substitutes or complements to public transport? Interpretable machine learning findings from the University of Lyon, France7 cited
2024Nonlinear Influence of the Built Environment on the Attraction of the Third Activity: A Comparative Analysis of Inflow from Home and Work6 cited
2025Examining the Determinants on OD Metro Ridership: Insights from Machine Learning Approaches6 cited
2025How do directed and undirected travel differ? Evidence from year-long bikeshare trips5 cited