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Traveler preference analysis between dockless bike-sharing and electric bike-sharing in last-mile metro context: Insights from Nanjing’s urban and suburban areas
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Traveler preference analysis between dockless bike-sharing and electric bike-sharing in last-mile metro context: Insights from Nanjing’s urban and suburban areas (2025)Traveler preference analysis between dock…Electric bike-sharing services mode substitution for driving, public transit, and cycling (2021)Electric bike-sharing service…Micromobility evolution and expansion: Understanding how docked and dockless bikesharing models complement and compete – A case study of San Francisco (2020)Micromobility evolution and e…Dockless bike-sharing as a feeder mode of metro commute? The role of the feeder-related built environment: Analytical framework and empirical evidence (2020)Dockless bike-sharing as a fe…Dockless bike sharing alleviates road congestion by complementing subway travel: Evidence from Beijing (2020)Dockless bike sharing allevia…Built environment effects on the integration of dockless bike-sharing and the metro (2020)Built environment effects on …A comparative analysis of e-scooter and e-bike usage patterns: Findings from the City of Austin, TX (2020)A comparative analysis of e-s…Factors affecting the travel mode choice of the urban elderly in healthcare activity: comparison between core area and suburban area (2019)Factors affecting the travel …To be or not to be dockless: Empirical analysis of dockless bikeshare development in China (2018)To be or not to be dockless: …Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China (2018)Better Understanding the Char…D-efficient or deficient? A robustness analysis of stated choice experimental designs (2017)D-efficient or deficient? A r…Bicycle-metro integration in a growing city: The determinants of cycling as a transfer mode in metro station areas in Beijing (2017)Bicycle-metro integration in …Public bicycle as a feeder mode to rail transit in China: The role of gender, age, income, trip purpose, and bicycle theft experience (2016)Public bicycle as a feeder mo…Factors influencing the choice of shared bicycles and shared electric bikes in Beijing (2016)Factors influencing the choic…Bicycle Sharing and Public Transit (2015)Bicycle Sharing and Public Tr…The access journey to the railway station and its role in passengers’ satisfaction with rail travel (2007)The access journey to the rai…Applied choice analysis a primer (2005)Applied choice analysis a pri…Analysis of the Multi-Scale Spatial Heterogeneity of Factors Influencing the Electric Bike-Sharing Travel Demand in Small and Medium-Sized Cities (2025)Analysis of the Multi-Scale S…Travel demand and the 3Ds: Density, diversity, and design (1997)Travel and the Built Environment: A Synthesis (2001)Travel and the Built Environment (2010)Identifying the factors affecting bike-sharing usage and degree of satisfaction in Ningbo, China (2017)A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile (2019)Understanding cycling distance according to the prediction of the XGBoost and the interpretation of SHAP: A non-linear and interaction effect analysis (2022)Handbook of Transport Modelling (2001)Factors influencing light-rail station boardings in the United States (2004)WHITE PAPER, European transport policy for 2010 : time to decide (2004)The Impact of Transit-oriented Development on Housing Prices in San Diego, CA (2010)Walking and Cycling for Healthy Cities (2010)Specification Tests for the Multinomial Logit Model (1984)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Bikesharing in Europe, the Americas, and Asia (2010)Cycling towards a more sustainable transport future (2017)The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete Choice Methods with Simulation (2001)Bike-sharing systems’ impact on modal shift: A case study in Delft, the Netherlands (2020)AN ECOLOGICAL APPROACH TO CREATING ACTIVE LIVING COMMUNITIES (2005)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Commuting by Bicycle: An Overview of the Literature (2009)Mapping the bike sharing research published from 2010 to 2018: A scientometric review (2018)A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data (2020)Transport's historical, contemporary and future role in shaping urban development: Re-evaluating transit oriented development (2020)Discrete choice analysis: Theory and application to travel demand (1988)Cycling to work in 90 large American cities: new evidence on the role of bike paths and lanes (2011)E-scooters and sustainability: Investigating the relationship between the density of E-scooter trips and characteristics of sustainable urban development (2020)Spatial analysis of shared e-scooter trips (2021)The role of consumer innovativeness and green perceptions on green innovation use: The case of shared e‐bikes and e‐scooters (2021)How the built environment affects physical activity (2002)Public transport for smart cities: Recent innovations and future challenges (2022)Identifying the nonlinear relationship between free-floating bike sharing usage and built environment (2020)Exploring non-linear built environment effects on the integration of free-floating bike-share and urban rail transport: A quantile regression approach (2022)Exploring the spatial variations of transfer distances between dockless bike-sharing systems and metros (2021)Bike Share Usage and the Built Environment: A Review (2022)Conjoint Analysis Applications in Health—a Checklist: A Report of the ISPOR Good Research Practices for Conjoint Analysis Task Force (2011)Constructing Experimental Designs for Discrete-Choice Experiments: Report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force (2013)Statistical Methods for the Analysis of Discrete Choice Experiments: A Report of the ISPOR Conjoint Analysis Good Research Practices Task Force (2016)
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References

  • 2005Applied choice analysis a primer2,611 cited
  • 2016Factors influencing the choice of shared bicycles and shared electric bikes in Beijing489 cited
  • 2020Built environment effects on the integration of dockless bike-sharing and the metro324 cited
  • 2007The access journey to the railway station and its role in passengers’ satisfaction with rail travel312 cited
  • 2017Bicycle-metro integration in a growing city: The determinants of cycling as a transfer mode in metro station areas in Beijing249 cited
  • 2016Public bicycle as a feeder mode to rail transit in China: The role of gender, age, income, trip purpose, and bicycle theft experience238 cited
  • 2018To be or not to be dockless: Empirical analysis of dockless bikeshare development in China234 cited
  • 2020Dockless bike-sharing as a feeder mode of metro commute? The role of the feeder-related built environment: Analytical framework and empirical evidence183 cited
  • 2020Micromobility evolution and expansion: Understanding how docked and dockless bikesharing models complement and compete – A case study of San Francisco171 cited
  • 2015Bicycle Sharing and Public Transit167 cited
  • 2018Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China163 cited
  • 2021Electric bike-sharing services mode substitution for driving, public transit, and cycling143 cited
  • 2017D-efficient or deficient? A robustness analysis of stated choice experimental designs

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143 cited
  • 2020A comparative analysis of e-scooter and e-bike usage patterns: Findings from the City of Austin, TX121 cited
  • 2019Factors affecting the travel mode choice of the urban elderly in healthcare activity: comparison between core area and suburban area120 cited
  • 2020Dockless bike sharing alleviates road congestion by complementing subway travel: Evidence from Beijing115 cited
  • Cited by

    • 2025Analysis of the Multi-Scale Spatial Heterogeneity of Factors Influencing the Electric Bike-Sharing Travel Demand in Small and Medium-Sized Cities3 cited