共享电单车停放区饱和度数据集

本数据集聚焦共享电单车停放区饱和度的实时监测与短时预测，覆盖轨交站点、公交枢纽、商业区、居住区、产业园区等典型场景。数据内容包括空间与时间信息、停放区设计容量与动态容量、实有车辆数、占用率、饱和度等级、周转效率指标（停放/取走次数、平均时长）以及运维干预记录。适用于停放区规划、运维调度、违停治理、重大活动保障等场景。

This dataset focuses on real-time monitoring and short-term prediction of the saturation level of shared e-scooter parking zones, covering typical scenarios such as rail transit stations, bus hubs, commercial districts, residential areas, industrial parks and other similar scenarios. The dataset includes spatial and temporal information, design capacity and dynamic capacity of parking zones, actual number of parked vehicles, occupancy rate, saturation grade, turnover efficiency indicators (number of parking and pickup operations and average duration), as well as operation and maintenance intervention records. It is applicable to scenarios including parking zone planning, operation and maintenance scheduling, illegal parking management, major event support and other relevant scenarios.

搜集汇总

背景与挑战

背景概述

该数据集专注于共享电单车停放区饱和度的实时监测与短时预测，覆盖了轨交站点、公交枢纽、商业区等多种典型场景，包含空间时间信息、容量、车辆数、饱和度等级及周转效率等关键指标。它适用于停放区规划、运维调度优化、违停治理及重大活动保障等城市管理场景。