共享汽车取还车热点区域网格数据集

本数据集聚焦共享汽车（分时租赁）取车与还车热点区域的网格化分析，基于城市空间网格（如500m×500m）记录每个网格在不同时段内的取车事件次数、还车事件次数、净流量、绝对热力值及供需平衡度。适用于网点规划、动态调度、潮汐识别及城市出行模式研究等场景。

This dataset focuses on the gridded analysis of pick-up and drop-off hotspots for car-sharing (time-sharing rental) services. Based on urban spatial grids (e.g., 500m×500m), it records the count of pick-up events, drop-off events, net flow, absolute heat value, and supply-demand balance of each grid across different time periods. It is applicable to scenarios including station planning, dynamic dispatching, tidal pattern recognition, and urban travel pattern research.

搜集汇总

背景与挑战

背景概述

该数据集专注于共享汽车取还车热点区域的网格化分析，基于城市空间网格记录取还车事件次数、净流量、绝对热力值及供需平衡度等指标。它适用于共享汽车网点规划、动态调度、潮汐识别及城市出行模式研究等场景。