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 encompasses a variety of data collected by the acquisition system for connected parking lots, including their characteristic information (name, location, latitude and longitude coordinates, parking lot type, parking lot images), vehicle entry time data, parking duration data, parking space utilization rate, real-time available parking spaces, and the traffic proportion of new energy vehicles and fuel vehicles, among other types of data. The total number of data records exceeds 10 million. This product can be utilized to more accurately analyze parking behavior patterns, predict parking demand, enhance the accuracy of personalized recommendations, and provide reference bases for the site selection of small and medium-sized enterprises, such as site selection for automotive after-sales services and new energy charging stations.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于西安市智慧停车领域，包含超过千万条数据，涵盖停车场特征信息、车辆进出时间、停车时长、车位使用率、实时空闲车位以及新能源车与油车通行占比等多维度指标。这些数据能够用于深入分析停车行为模式、预测区域停车需求，并为中小企业选址决策（如汽车售后服务中心或新能源充电站）提供科学依据，具有较高的商业应用价值。