Bike Trajectory Data

该数据集是一套细粒度的共享单车系统轨迹数据，它记录了全天不同时间段以及一周内各天的自行车出行需求。此外，该数据集每10分钟追踪一次各个街区可用的自行车数量，并识别缺货事件，以分析平均骑行需求。数据集的规模以街区为单位，每个街区的面积大约为153米乘153米。这项数据集的任务是用于城市自行车道规划和优化。This dataset is a fine-grained trajectory dataset for bike-sharing systems, which records bicycle travel demand across different time slots throughout the day and each day of the week. Additionally, it tracks the number of available bicycles in each neighborhood every 10 minutes and identifies stockout events to analyze average cycling demand. The dataset is structured at the neighborhood level, with each neighborhood covering an area of approximately 153 meters by 153 meters. This dataset is designed to support urban bicycle lane planning and optimization.

搜集汇总

背景与挑战

背景概述

该数据集是一套细粒度的共享单车系统轨迹数据，记录全天和一周内的自行车出行需求，每10分钟追踪街区可用自行车数量并识别缺货事件，以分析平均骑行需求。数据以约153米乘153米的街区为单位，主要用于城市自行车道规划和优化任务，具有时间粒度细、空间单位明确的特点。