Bike Angels

Hangil Chung · Daniel Freund · David B. Shmoys

32 citations0/0 files storedACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS)

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Urban Transport and Accessibility Supply Chain and Inventory Management Transportation and Mobility Innovations

Abstract

Bike-sharing systems provide a sustainable and affordable transportation alternative in many American cities. However, they also face intricate challenges due to imbalance, caused by asymmetric traffic demand. That imbalance often-times leads to bike-sharing stations being empty (full), causing out-of-stock events for customers that want to rent (return) bikes at such stations. In recent years, the study of data-driven methods to help support the operation of such system, has developed as a popular research area.

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References

2014Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity 2013Optimal inventory management of a bike-sharing station 2015Incentivizing Users for Balancing Bike Sharing Systems 2015Data Analysis and Optimization for (Citi)Bike Sharing 2019Pricing and Matching with Forward-Looking Buyers and Sellers 2016Simulation optimization for a large-scale bike-sharing system 2017Minimizing Multimodular Functions and Allocating Capacity in Bike-Sharing Systems

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2020Artificial Intelligence for Social Good: A Survey 2020How Does Dockless Bike-Sharing System Behave by Incentivizing Users to Participate in Rebalancing?2022RedPacketBike: A Graph-Based Demand Modeling and Crowd-Driven Station Rebalancing Framework for Bike Sharing Systems 2019Customer Incentive Rebalancing Plan in Free-Float Bike-Sharing System with Limited Information 2020Spatial-Temporal Inventory Rebalancing for Bike Sharing Systems With Worker Recruitment 2021A simulation-optimization study of the inventory of a bike-sharing system: The case of Mexico City Ecobici’s system

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