西安市智慧停车分析报告

该数据产品包含采集系统对已接入停车场的特征信息（名称、位置、经纬度坐标、车场类型、车场图片）、车辆进入车场时间数据、停车时长数据、车位使用率、实时空闲车位、新能源车/油车通行占比等各类数据，数据总量超千万条。该产品可用于更加准确地分析停车行为模式、预测停车需求、提高个性化推荐的精准度，可为中小企业选址提供参考依据，例如汽车售后选址、新能源充电站选址等参考。

This data product aggregates various types of data collected by the acquisition system for connected parking lots, including their feature information (name, location, longitude and latitude coordinates, parking lot type, and parking lot images), vehicle entry timestamp data, parking duration data, parking space utilization rate, real-time available parking spaces, and the proportion of new energy vehicles and fuel vehicles among passing vehicles. The total number of data records in this product exceeds 10 million.
This data product can be used to accurately analyze parking behavior patterns, forecast parking demand, and improve the accuracy of personalized recommendation systems. It can also provide reference for site selection of small and medium-sized enterprises, such as sites for automobile after-sales services and new energy charging stations.

搜集汇总

背景与挑战

背景概述

该数据集由陕西坤翔静态交通科技有限公司提供，覆盖西安市全域，包含停车场特征、车辆进出时间、停车时长、车位使用率、实时空闲车位及新能源/油车通行占比等超千万条数据，可用于分析停车行为模式、预测停车需求，并为汽车售后或新能源充电站等中小企业选址提供参考依据。