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Automatic bike sharing system planning from urban environment features
16 references·4 citing·38 second hop
Automatic bike sharing system planning from urban environment features (2023)Automatic bike sharing system planning fr…A review of bicycle-sharing service planning problems (2020)A review of bicycle-sharing s…A review on bike-sharing: The factors affecting bike-sharing demand (2019)A review on bike-sharing: The…Understanding bikeshare mode as a feeder to metro by isolating metro-bikeshare transfers from smart card data (2018)Understanding bikeshare mode …A Dynamic Approach to Rebalancing Bike-Sharing Systems (2018)A Dynamic Approach to Rebalan…Mobility Modeling and Prediction in Bike-Sharing Systems (2016)Mobility Modeling and Predict…Dynamic cluster-based over-demand prediction in bike sharing systems (2016)Dynamic cluster-based over-de…Bikeshare trip generation in New York City (2016)Bikeshare trip generation in …Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago (2015)Understanding Spatiotemporal …Traffic prediction in a bike-sharing system (2015)Traffic prediction in a bike-…Exploring bikesharing travel time and trip chain by gender and day of the week (2015)Exploring bikesharing travel …Bike-sharing stations: A maximal covering location approach (2015)Bike-sharing stations: A maxi…Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris (2014)Model-Based Count Series Clus…Evaluating public transit modal shift dynamics in response to bikesharing: a tale of two U.S. cities (2014)Evaluating public transit mod…Mining bicycle sharing data for generating insights into sustainable transport systems (2013)Mining bicycle sharing data f…Optimizing the location of stations in bike-sharing programs: A GIS approach (2012)Optimizing the location of st…Bikesharing in Europe, the Americas, and Asia (2010)Bikesharing in Europe, the Am…How street view shapes cycling behaviour during extreme heat: a case study from Shanghai (2025)How street view shapes cyclin…Exploring spatio-temporal variations in nonlinear correlations between the built environment and metro-bike travel: evidence from Beijing (2025)Exploring spatio-temporal var…BikeshareGAN: Predicting dockless bike-sharing demand based on satellite image (2025)BikeshareGAN: Predicting dock…Exploring the modal integration of bike-sharing and urban rail transit: Multi-Criteria Evaluation in GIS for the city of Salvador (Bahia – Brazil) (2024)Exploring the modal integrati…THE MAXIMAL COVERING LOCATION PROBLEM (1974)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)A GIS-based MCDM approach for the evaluation of bike-share stations (2018)Electric fence planning for dockless bike-sharing services (2018)Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph (1964)The Location of Emergency Service Facilities (1971)Bike sharing: A review of evidence on impacts and processes of implementation and operation (2015)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)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)Transit ridership forecasting at station level: an approach based on distance-decay weighted regression (2011)The impact of weather conditions on bikeshare trips in Washington, DC (2014)Modeling Bike Share Station Activity: Effects of Nearby Businesses and Jobs on Trips to and from Stations (2015)Examining usage patterns of a bike-sharing scheme in a medium sized city (2017)Bike sharing differences among Millennials, Gen Xers, and Baby Boomers: Lessons learnt from New York City’s bike share (2018)Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic (2021)Friendship and mobility (2011)A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems (2019)A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system (2019)Using data mining techniques for bike sharing demand prediction in metropolitan city (2020)Stochastic Simulation (1987)Infrastructure, programs, and policies to increase bicycling: An international review (2009)A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile (2019)Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems (2020)Travel and the Built Environment: A Synthesis (2001)Commuting by Bicycle: An Overview of the Literature (2009)Dockless bike-sharing as a feeder mode of metro commute? The role of the feeder-related built environment: Analytical framework and empirical evidence (2020)Sustainable Mobility: A Review of Possible Actions and Policies (2020)Sharing riders: How bikesharing impacts bus ridership in New York City (2017)Built environment effects on the integration of dockless bike-sharing and the metro (2020)The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike (2020)Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies (2011)Bike Share: A Synthesis of the Literature (2013)Bikeshare: A Review of Recent Literature (2015)Rebalancing Bike Sharing Systems (2016)Planning Bike Lanes based on Sharing-Bikes' Trajectories (2017)
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References

  • 2010Bikesharing in Europe, the Americas, and Asia1,149 cited
  • 2019A review on bike-sharing: The factors affecting bike-sharing demand460 cited
  • 2012Optimizing the location of stations in bike-sharing programs: A GIS approach436 cited
  • 2013Mining bicycle sharing data for generating insights into sustainable transport systems368 cited
  • 2014Evaluating public transit modal shift dynamics in response to bikesharing: a tale of two U.S. cities361 cited
  • 2015Traffic prediction in a bike-sharing system361 cited
  • 2016Bikeshare trip generation in New York City258 cited
  • 2015Bike-sharing stations: A maximal covering location approach240 cited
  • 2016Dynamic cluster-based over-demand prediction in bike sharing systems204 cited
  • 2016Mobility Modeling and Prediction in Bike-Sharing Systems190 cited
  • 2014Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris182 cited
  • 2015Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago176 cited
  • 2020A review of bicycle-sharing service planning problems164 cited
  • 2015Exploring bikesharing travel time and trip chain by gender and day of the week158 cited
  • 2018

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A Dynamic Approach to Rebalancing Bike-Sharing Systems
147 cited
  • 2018Understanding bikeshare mode as a feeder to metro by isolating metro-bikeshare transfers from smart card data137 cited
  • Cited by

    • 2025BikeshareGAN: Predicting dockless bike-sharing demand based on satellite image10 cited
    • 2024Exploring the modal integration of bike-sharing and urban rail transit: Multi-Criteria Evaluation in GIS for the city of Salvador (Bahia – Brazil)5 cited
    • 2025How street view shapes cycling behaviour during extreme heat: a case study from Shanghai5 cited
    • 2025Exploring spatio-temporal variations in nonlinear correlations between the built environment and metro-bike travel: evidence from Beijing4 cited