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Balancing bike sharing systems through customer cooperation - a case study on London's Barclays Cycle Hire

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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
2012Large-Scale Vehicle Sharing Systems: Analysis of Vélib'291 cited
2014Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity288 cited
2013Optimal inventory management of a bike-sharing station272 cited
2015Incentivizing Users for Balancing Bike Sharing Systems227 cited
2013Self-service bike sharing systems: simulation, repositioning, pricing61 cited

Cited by

2020Modeling the relationship between organizational performance and green supply chain practices using canonical correlation analysis35 cited
2020Incentive measures to avoid the illegal parking of dockless shared bikes: the relationships among incentive forms, intensity and policy compliance31 cited
2019Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems25 cited
2016Bidirectional Incentive Model for Bicycle Redistribution of a Bicycle Sharing System during Rush Hour23 cited
2017Towards Dynamic Rebalancing of Bike Sharing Systems: An Event-Driven Agents Approach20 cited
2017Real-time usage forecasting for bike-sharing systems: A study on random forest and convolutional neural network applicability18 cited

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2021A mixed rebalancing strategy in bike sharing systems14 cited

2022Potentials and Prospects of Bicycle Sharing System in Smart Cities: A Review13 cited

2016Proposal for optimal placement platform of bikes using queueing networks9 cited

2016SMARTBIKE: Policy making and decision support for bike share systems9 cited

2018Enhancing the utilization of public bike sharing systems using return anxiety information8 cited

2022A worker‐and‐system trade‐off model for rebalancing free‐float bike sharing systems: A mixed rebalancing strategy6 cited

2021Bike-Repositioning Using Volunteers: Crowd Sourcing with Choice Restriction4 cited