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Substitution effect or complementation effect for bicycle travel choice preference and other transportation availability: Evidence from US large-scale shared bicycle travel behaviour data
16 references·4 citing·41 second hop
Substitution effect or complementation effect for bicycle travel choice preference and other transportation availability: Evidence from US large-scale shared bicycle travel behaviour data (2018)Substitution effect or complementation ef…Exploring the motivation-behavior gap in urban residents’ green travel behavior: A theoretical and empirical study (2017)Exploring the motivation-beha…Built environmental factors and adults' travel behaviors: Role of street layout and local destinations (2016)Built environmental factors a…Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events (2014)Spatio-temporal patterns of a…How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal (2014)How land-use and urban form i…A GEV model with scale heterogeneity for investigating the role of mobility tool ownership in peak period non-work travel mode choices (2014)A GEV model with scale hetero…Station-Level Forecasting of Bikesharing Ridership (2013)Station-Level Forecasting of …Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach (2013)Modelling the potential effec…Mining bicycle sharing data for generating insights into sustainable transport systems (2013)Mining bicycle sharing data f…Transportation and the New Generation Why Young People Are Driving Less and What It Means for Transportation Policy (2012)Transportation and the New Ge…Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Urban cycles and mobility pat…Characterizing the speed and paths of shared bicycle use in Lyon (2010)Characterizing the speed and …Sensing and predicting the pulse of the city through shared bicycling (2009)Sensing and predicting the pu…Household actions can provide a behavioral wedge to rapidly reduce US carbon emissions (2009)Household actions can provide…Comparing circular and network buffers to examine the influence of land use on walking for leisure and errands (2007)Comparing circular and networ…Representing the differences between female and male commute behavior in residential location choice models (2001)Representing the differences …Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete Choice Analysis: The…Decoding urban transportation: Trade-offs in mode choices using big data (2025)Decoding urban transportation…A meta-analytic review of the association between the built environment and integrated usage of rail transport and bike-sharing (2023)A meta-analytic review of the…Shared Bicycle Distribution Connected to Subway Line Considering Citizens’ Morning Peak Social Characteristics for Urban Low-Carbon Development (2021)Shared Bicycle Distribution C…Generating efficient rebalancing routes for bikeshare programs using a genetic algorithm (2019)Generating efficient rebalanc…Governing the Commons (1990)Governing the Commons: The Evolution of Institutions for Collective Action (1992)Stabilization Wedges: Solving the Climate Problem for the Next 50 Years with Current Technologies (2004)The dragons of inaction: Psychological barriers that limit climate change mitigation and adaptation. (2011)Geographic variation in opinions on climate change at state and local scales in the USA (2015)The climate mitigation gap: education and government recommendations miss the most effective individual actions (2017)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Bikesharing in Europe, the Americas, and Asia (2010)Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China (2016)How does our natural and built environment affect the use of bicycle sharing? (2016)Bicycle sharing system ‘success’ determinants (2017)Bike Share: A Synthesis of the Literature (2013)Bike sharing: A review of evidence on impacts and processes of implementation and operation (2015)Environmental benefits of bike sharing: A big data-based analysis (2018)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Time Series Analysis: Forecasting and Control. (1978)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Traffic prediction in a bike-sharing system (2015)Explaining walking distance to public transport: The dominance of public transport supply (2013)Health effects of the London bicycle sharing system: health impact modelling study (2014)Intentions to use bike-sharing for holiday cycling: An application of the Theory of Planned Behavior (2014)Evaluation of sustainable transport research in 2000–2019 (2020)Determinants of bicycle use: do municipal policies matter? (2004)Urban form, travel time, and cost relationships with tour complexity and mode choice (2007)Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system (2016)Dockless bike-sharing systems: what are the implications? (2020)Investigating Neighborhood and Area Effects on Health (2001)How the built environment affects physical activity (2002)Place effects on health: how can we conceptualise, operationalise and measure them? (2002)The Built Environment and Location-Based Physical Activity (2010)How important is the land use mix measure in understanding walking behaviour? Results from the RESIDE study (2011)Effects of buffer size and shape on associations between the built environment and energy balance (2014)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)The scaling laws of human travel (2006)Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns (2011)Large-Scale Vehicle Sharing Systems: Analysis of Vélib' (2012)UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning (2002)Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings (2009)A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data (2020)
this work references cited by second hop

References

  • 1987Discrete Choice Analysis: Theory and Application to Travel Demand.5,542 cited
  • 2009Household actions can provide a behavioral wedge to rapidly reduce US carbon emissions1,450 cited
  • 2014How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal486 cited
  • 2010Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system446 cited
  • 2013Mining bicycle sharing data for generating insights into sustainable transport systems368 cited
  • 2009Sensing and predicting the pulse of the city through shared bicycling307 cited
  • 2007Comparing circular and network buffers to examine the influence of land use on walking for leisure and errands297 cited
  • 2013Station-Level Forecasting of Bikesharing Ridership277 cited
  • 2013Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach271 cited
  • 2014Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events257 cited
  • 2010Characterizing the speed and paths of shared bicycle use in Lyon196 cited
  • 2001Representing the differences between female and male commute behavior in residential location choice models183 cited
  • 2017Exploring the motivation-behavior gap in urban residents’ green travel behavior: A theoretical and empirical study155 cited

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  • 2012Transportation and the New Generation Why Young People Are Driving Less and What It Means for Transportation Policy144 cited
  • 2016Built environmental factors and adults' travel behaviors: Role of street layout and local destinations48 cited
  • 2014A GEV model with scale heterogeneity for investigating the role of mobility tool ownership in peak period non-work travel mode choices20 cited
  • Cited by

    • 2023A meta-analytic review of the association between the built environment and integrated usage of rail transport and bike-sharing12 cited
    • 2021Shared Bicycle Distribution Connected to Subway Line Considering Citizens’ Morning Peak Social Characteristics for Urban Low-Carbon Development11 cited
    • 2025Decoding urban transportation: Trade-offs in mode choices using big data6 cited
    • 2019Generating efficient rebalancing routes for bikeshare programs using a genetic algorithm4 cited