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A Visualization Based Analysis to Assist Rebalancing Issues Related to Last Mile Problem for Bike Sharing Programs in China: A Big-Data Case Study on Mobike
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A Visualization Based Analysis to Assist Rebalancing Issues Related to Last Mile Problem for Bike Sharing Programs in China: A Big-Data Case Study on Mobike (2019)A Visualization Based Analysis to Assist …The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)The station-free sharing bike…Factors influencing the choice of shared bicycles and shared electric bikes in Beijing (2016)Factors influencing the choic…Incentivizing Users for Balancing Bike Sharing Systems (2015)Incentivizing Users for Balan…Data Analysis and Optimization for (Citi)Bike Sharing (2015)Data Analysis and Optimizatio…Public Bikesharing in North America (2013)Public Bikesharing in North A…Bike Share: A Synthesis of the Literature (2013)Bike Share: A Synthesis of th…Solving the Last Mile Problem: Ensure the Success of Public Bicycle System in Beijing (2012)Solving the Last Mile Problem…Large-Scale Vehicle Sharing Systems: Analysis of Vélib' (2012)Large-Scale Vehicle Sharing S…Strategic and Operational Planning of Bike-Sharing Systems by Data Mining – A Case Study (2011)Strategic and Operational Pla…SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE (2011)SHARED BICYCLES IN A CITY: A …China's Hangzhou Public Bicycle (2011)China's Hangzhou Public Bicyc…Strategic design of public bicycle sharing systems with service level constraints (2010)Strategic design of public bi…Bikesharing in Europe, the Americas, and Asia (2010)Bikesharing in Europe, the Am…The role of smart bike-sharing systems in urban mobility (2009)The role of smart bike-sharin…Sensing and predicting the pulse of the city through shared bicycling (2009)Sensing and predicting the pu…Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Bike-sharing: History, Impact…Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Commuting by Bicycle: An Overview of the Literature (2009)Bikeshare: A Review of Recent Literature (2015)Sustainable Business Models: A Review (2019)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity (2014)Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China (2016)Sharing riders: How bikesharing impacts bus ridership in New York City (2017)China statistical yearbook (1988)Diffusion of innovations. (2003)Better Understanding of Factors Influencing Likelihood of Using Shared Bicycle Systems and Frequency of Use (2012)Factors influencing bike share membership: An analysis of Melbourne and Brisbane (2014)Sustainable bike-sharing systems: characteristics and commonalities across cases in urban China (2014)Diffusion of Innovations 1 (2019)THE MAXIMAL COVERING LOCATION PROBLEM (1974)Discrete location theory (1991)Facility location : applications and theory (2001)Optimizing the location of stations in bike-sharing programs: A GIS approach (2012)Traffic prediction in a bike-sharing system (2015)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows (2011)Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system (2016)An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville (2017)Specification Tests for the Multinomial Logit Model (1984)Cycling towards a more sustainable transport future (2017)Statistical and Econometric Methods for Transportation Data Analysis (2003)Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto (2015)Deep learning with long short-term memory networks for financial market predictions (2017)A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system (2019)A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data (2020)Identifying the nonlinear relationship between free-floating bike sharing usage and built environment (2020)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns (2011)Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach (2013)Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies (2011)
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References

  • 2010Bikesharing in Europe, the Americas, and Asia1,149 cited
  • 2009Bike-sharing: History, Impacts, Models of Provision, and Future1,070 cited
  • 2013Bike Share: A Synthesis of the Literature712 cited
  • 2016Factors influencing the choice of shared bicycles and shared electric bikes in Beijing489 cited
  • 2010Strategic design of public bicycle sharing systems with service level constraints435 cited
  • 2011China's Hangzhou Public Bicycle320 cited
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  • 2012Large-Scale Vehicle Sharing Systems: Analysis of Vélib'291 cited
  • 2018The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets291 cited
  • 2011SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE251 cited
  • 2015Incentivizing Users for Balancing Bike Sharing Systems227 cited
  • 2013Public Bikesharing in North America212 cited
  • 2009The role of smart bike-sharing systems in urban mobility196 cited
  • 2015Data Analysis and Optimization for (Citi)Bike Sharing164 cited
  • 2012Solving the Last Mile Problem: Ensure the Success of Public Bicycle System in Beijing

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149 cited
  • 2011Strategic and Operational Planning of Bike-Sharing Systems by Data Mining – A Case Study79 cited
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