Code and Data Repository for A Data-Driven Optimization Framework for Static Rebalancing Operations in Bike Sharing Systems
该仓库提供了共享单车系统夜间静态再平衡的端到端解决方案，利用纽约Citi Bike的真实数据生成最优再平衡路线，以最小化缺货或超容量导致的损失。
This repository provides an end-to-end solution to the static rebalancing operations in bike sharing systems. The study uses the raw data of bike demand and station inventory status to generate the optimal rebalancing routes that reallocate system-wide bike inventories among stations during the night to maintain a high service level while minimizing demand loss due to stockout or overcapacity. The repository reports the raw data, algorithms, and extensive numerical experiments reported in the paper, using real-world data from New York City Citi Bike.