SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system
16 references·3 citing·36 second hopsampled
A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system (2021)A framework for estimating bikeshare orig…Modeling Bike Share Station Activity: Effects of Nearby Businesses and Jobs on Trips to and from Stations (2015)Modeling Bike Share Station A…Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto (2015)Effects of built environment …Bikeshare: A Review of Recent Literature (2015)Bikeshare: A Review of Recent…The impact of weather conditions on bikeshare trips in Washington, DC (2014)The impact of weather conditi…Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity (2014)Incentives and redistribution…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…Bike share’s impact on car use: Evidence from the United States, Great Britain, and Australia (2014)Bike share’s impact on car us…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…Bike Share: A Synthesis of the Literature (2013)Bike Share: A Synthesis of th…Large-Scale Vehicle Sharing Systems: Analysis of Vélib' (2012)Large-Scale Vehicle Sharing S…Better Understanding of Factors Influencing Likelihood of Using Shared Bicycle Systems and Frequency of Use (2012)Better Understanding of Facto…Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies (2011)Bicycling renaissance in Nort…The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use (2008)The impact of demographics, b…The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions (2007)The multiple discrete-continu…A multiple discrete–continuous extreme value model: formulation and application to discretionary time-use decisions (2004)A multiple discrete–continuou…Assessing the impacts of transit systems and urban street features on bike-sharing ridership: A graph-based spatiotemporal analysis and prediction model (2025)Assessing the impacts of tran…Meta-analysis of shared micromobility ridership determinants (2023)Meta-analysis of shared micro…Comparing the Travel Behavior of Older Users Between Station-Based and Dockless Bike Sharing Systems (2023)Comparing the Travel Behavior…Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Commuting by Bicycle: An Overview of the Literature (2009)Bikesharing in Europe, the Americas, and Asia (2010)Sustainable Business Models: A Review (2019)Infrastructure, programs, and policies to increase bicycling: An international review (2009)Cycling to work in 90 large American cities: new evidence on the role of bike paths and lanes (2011)Cycling towards a more sustainable transport future (2017)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)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)The health risks and benefits of cycling in urban environments compared with car use: health impact assessment study (2011)Understanding the usage of dockless bike sharing in Singapore (2018)Statistical and Econometric Methods for Transportation Data Analysis (2003)Walking, Bicycling, and Urban Landscapes: Evidence From the San Francisco Bay Area (2003)Bikeshare trip generation in New York City (2016)The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)Built environment effects on the integration of dockless bike-sharing and the metro (2020)Nudge: improving decisions about health, wealth, and happiness (2008)Factors influencing the choice of shared bicycles and shared electric bikes in Beijing (2016)The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike (2020)A Theory of the Allocation of Time (1965)A Treatise on the Family (1991)Discrete Choice Methods with Simulation (2001)Residential self-selection effects in an activity time-use behavior model (2009)Consumer preferences and willingness to pay for advanced vehicle technology options and fuel types (2015)Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method (2008)Internet, mail, and mixed-mode surveys: The tailored design method * (2010)Are Bikeshare Users Different from Regular Cyclists? (2013)Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China (2016)Economics and Consumer Behavior (1980)Discrete choice methods with simulation (2004)Structural Workshop Paper—Discrete-Choice Models of Consumer Demand in Marketing (2011)Brand Loyalty and Price Promotion Strategies: An Empirical Analysis (2012)Travel and the Built Environment: A Synthesis (2001)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2015Bikeshare: A Review of Recent Literature879 cited
  • 2013Bike Share: A Synthesis of the Literature712 cited
  • 2011Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies606 cited
  • 2015Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto570 cited
  • 2004A multiple discrete–continuous extreme value model: formulation and application to discretionary time-use decisions516 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
  • 2007The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions484 cited
  • 2012Better Understanding of Factors Influencing Likelihood of Using Shared Bicycle Systems and Frequency of Use342 cited
  • 2014The impact of weather conditions on bikeshare trips in Washington, DC330 cited
  • 2012Large-Scale Vehicle Sharing Systems: Analysis of Vélib'291 cited
  • 2014Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity288 cited
  • 2008The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

287 cited
  • 2013Station-Level Forecasting of Bikesharing Ridership277 cited
  • 2015Modeling Bike Share Station Activity: Effects of Nearby Businesses and Jobs on Trips to and from Stations275 cited
  • 2013Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach271 cited
  • Cited by

    • 2023Meta-analysis of shared micromobility ridership determinants18 cited
    • 2025Assessing the impacts of transit systems and urban street features on bike-sharing ridership: A graph-based spatiotemporal analysis and prediction model7 cited
    • 2023Comparing the Travel Behavior of Older Users Between Station-Based and Dockless Bike Sharing Systems5 cited