城市货运配送车辆停靠时长分布数据集

本数据集聚焦城市货运配送车辆停靠时长分布，覆盖轻型货车、中型货车、新能源车、三轮/两轮配送车等车型及商超、社区、写字楼、物流站点等停靠场景。数据内容包括车辆信息、停靠点信息、停靠时长分段占比、配送效率指标及影响因素等维度。适用于城市配送效率评估、配送站点选址优化、停车管理政策制定、物流企业运营优化及智慧物流AI模型训练等场景。

This dataset focuses on the distribution of parking duration for urban freight delivery vehicles, covering various vehicle types including light-duty trucks, medium-duty trucks, new energy vehicles, three-wheeled and two-wheeled delivery vehicles, as well as parking scenarios such as supermarkets, residential communities, office buildings and logistics terminals. The dataset includes dimensions such as vehicle information, stop point information, proportional share of parking duration segments, delivery efficiency indicators and influencing factors. It is applicable to scenarios including urban distribution efficiency evaluation, distribution site location optimization, parking management policy formulation, logistics enterprise operation optimization and intelligent logistics AI model training.

搜集汇总

背景与挑战

背景概述

该数据集系统记录了城市货运配送车辆在不同停靠场景下的时长分布特征，覆盖轻型货车、中型货车、新能源车及三轮/两轮配送车等多种车型。数据包含车辆与停靠点信息、停靠时长分段占比及配送效率指标，适用于配送效率评估、站点选址优化、停车政策制定以及智慧物流AI模型训练等多种应用场景。