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SMARTBIKE: Policy making and decision support for bike share systems
10 references·2 citing·44 second hopsampled
SMARTBIKE: Policy making and decision support for bike share systems (2016)SMARTBIKE: Policy making and decision sup…An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville (2017)An empirical analysis of bike…SMARTBUS (2016)SMARTBUSStation Site Optimization in Bike Sharing Systems (2015)Station Site Optimization in …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…Bike sharing station placement leveraging heterogeneous urban open data (2015)Bike sharing station placemen…Balancing bike sharing systems through customer cooperation - a case study on London's Barclays Cycle Hire (2015)Balancing bike sharing system…Predicting bikeshare system usage up to one day ahead (2014)Predicting bikeshare system u…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…Sensing and predicting the pulse of the city through shared bicycling (2009)Sensing and predicting the pu…Collaborative Route Plan for Parking Sites Selection in Bike-Sharing Systems (2018)Collaborative Route Plan for …Bike share travel time modeling: San Francisco bay area case study (2017)Bike share travel time modeli…Strategic design of public bicycle sharing systems with service level constraints (2010)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Optimizing the location of stations in bike-sharing programs: A GIS approach (2012)A Dynamic Approach to Rebalancing Bike-Sharing Systems (2018)A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems (2019)Citywide Bike Usage Prediction in a Bike-Sharing System (2019)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Discovering regions of different functions in a city using human mobility and POIs (2012)Big Data and Cycling (2015)Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago (2015)Understanding the impacts of a public transit disruption on bicycle sharing mobility patterns: A case of Tube strike in London (2017)Infrastructure, programs, and policies to increase bicycling: An international review (2009)Bikesharing in Europe, the Americas, and Asia (2010)Mining large-scale human mobility data for long-term crime prediction (2018)A Hybrid Machine Learning Model for Demand Prediction of Edge-Computing-Based Bike-Sharing System Using Internet of Things (2020)Analysis on bike-share ridership for origin-destination pairs: Effects of public transit route characteristics and land-use patterns (2021)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Bikesharing, equity, and disadvantaged communities: A case study in Chicago (2020)Mobile phone data in urban bicycle-sharing: Market-oriented sub-area division and spatial analysis on emission reduction potentials (2020)Multi-task supply-demand prediction and reliability analysis for docked bike-sharing systems via transformer-encoder-based neural processes (2023)Large-Scale Vehicle Sharing Systems: Analysis of Vélib' (2012)Dynamic cluster-based over-demand prediction in bike sharing systems (2016)Rebalancing Bike Sharing Systems (2016)A review of bicycle-sharing service planning problems (2020)Urban transport in developing countries (2003)Understanding individual human mobility patterns (2008)Planning, operation, and control of bus transport systems: A literature review (2015)Data visualization tool for monitoring transit operation and performance (2017)MUSA–I. towards New Social Tools for Advanced Multi-Modal Transportation in Smart Cities (2018)Comparative analysis between transportation modes for sustainability perspective in one metropolitan region of southern Brazil (2020)A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area (1997)Improving the sustainability of integrated transportation system with bike-sharing: A spatial agent-based approach (2018)Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China (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 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)Learning Urban Community Structures (2018)Fuzzy-based GIS approach with new MCDM method for bike-sharing station site selection according to land-use types (2021)Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems (2019)Incentive measures to avoid the illegal parking of dockless shared bikes: the relationships among incentive forms, intensity and policy compliance (2020)Modeling the relationship between organizational performance and green supply chain practices using canonical correlation analysis (2020)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2009Sensing and predicting the pulse of the city through shared bicycling307 cited
  • 2017An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville239 cited
  • 2015Incentivizing Users for Balancing Bike Sharing Systems227 cited
  • 2014Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris182 cited
  • 2015Data Analysis and Optimization for (Citi)Bike Sharing164 cited
  • 2015Bike sharing station placement leveraging heterogeneous urban open data125 cited
  • 2015Station Site Optimization in Bike Sharing Systems124 cited
  • 2014Predicting bikeshare system usage up to one day ahead71 cited
  • 2015Balancing bike sharing systems through customer cooperation - a case study on London's Barclays Cycle Hire35 cited
  • 2016SMARTBUS22 cited

Cited by

  • 2017Bike share travel time modeling: San Francisco bay area case study9 cited
  • 2018Collaborative Route Plan for Parking Sites Selection in Bike-Sharing Systems4 cited

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