Chicago Rideshare and Taxi Trip Data

该数据集包含了芝加哥城市区域内77个上下车区域的共享出行车辆和出租车的行程记录。该数据集捕捉了人类出行模式，行程数据可以被整合成出行张量。具体规模为，M和N各为77，T为1344。任务目标是识别可解释的时间模式，并支持下游的机器学习任务。

This dataset contains trip records of ride-hailing vehicles and taxis across 77 pick-up and drop-off zones in the Chicago metropolitan area. It captures human mobility patterns, and the trip data can be aggregated into mobility tensors. Its specific tensor dimensions are M=77, N=77, and T=1344. The task objectives are to identify interpretable temporal patterns and support downstream machine learning tasks.