象山县智慧停车场使用率分析数据

通过分析结果，对智慧停车管辖范围内停车场的运行情况进行评价，对未来停车位和充电桩的扩建、缩减、改造提供数据支撑，能帮助泊车业务运营管理企业更好进行分析研判，对未来的规划有清晰明确的数据参考。1.数据采集：象山县大数据发展中心通过API接口获取智慧城管系统中停车场的信息和过车信息，把这些信息存储后用于计算 2.数据处理：通过停车场的基本信息确定相关车位总数，充电桩数，通过充电桩的使用情况计算出充电次数，通过闸机的过车信息计算出停车次数、总停车时长，对处理后的业务数据按停车场id进行分组聚合。3.算法加工：充电桩使用率=充电次数 /充电桩数;；车位使用率=停车次数/车位总数；平均停车时长=总停车时长/车位总数。Based on the analysis results, this dataset evaluates the operation status of parking lots under the jurisdiction of the smart parking system, provides data support for the expansion, reduction and renovation of future parking spaces and charging piles, helps parking business operation and management enterprises conduct better analysis and decision-making, and offers clear and definite data references for future planning. 1. Data Collection: The Big Data Development Center of Xiangshan County obtains parking lot information and vehicle passing information from the smart urban management system via API interfaces, and stores this information for subsequent calculation. 2. Data Processing: Determine the total number of parking spaces and charging piles based on the basic information of parking lots; calculate the number of charging times through the usage status of charging piles; calculate the number of parking times and total parking duration through the vehicle passing information of turnstiles; perform grouping and aggregation on the processed business data by parking lot ID. 3. Algorithm Processing: Charging pile utilization rate = number of charging times / number of charging piles; Parking space utilization rate = number of parking times / total number of parking spaces; Average parking duration = total parking duration / total number of parking spaces.

搜集汇总

数据集介绍

特点

该数据集包含象山县智慧停车场的详细使用数据，如停车次数、车位使用率和充电桩使用率等，用于评价停车场运行情况并为未来规划提供数据支持。数据集每月更新，包含853条记录，适用于泊车业务运营管理企业的分析研判。