鹿城区智慧停车车辆停车时长分类分析数据

通过对车辆停车时长进行分类分析，可以了解不同时长停车的分布情况，从而优化停车场的管理和收费策略、从而更好地规划道路和停车设施，更好地满足停车需求，提高停车场的效益。1.数据采集：设定停车时长的分类：小于30分钟为免费停车、大于30分钟小于120分钟为短时停车，大于120分钟小于240分钟为中时停车，大于240分钟为长时停车，为每条停车数据打上标签。2、数据处理：按停车场ID和时长分类标签进行分组聚合，计算出免费停车比例=免费停车数/总停车数，短时停车比例=短时停车数/总停车数，中时停车比例=中时停车数/总停车数，长时停车比例=长时停车数/总停车数。

By performing categorized analysis of vehicle parking duration, we can obtain the distribution characteristics of parking events with different durations, which helps optimize parking lot management and pricing strategies, better plan road and parking facility layouts, more effectively meet parking demands, and improve the operational efficiency of parking lots. 1. Data Collection: Establish the classification criteria for parking duration: free parking for sessions lasting less than 30 minutes, short-term parking for sessions with duration greater than 30 minutes and less than 120 minutes, medium-term parking for sessions with duration greater than 120 minutes and less than 240 minutes, and long-term parking for sessions lasting more than 240 minutes. Tag each individual parking record with the corresponding category label. 2. Data Processing: Conduct grouped aggregation based on parking lot ID and duration category labels, and calculate the following proportions: proportion of free parking = number of free parking sessions / total number of parking sessions, proportion of short-term parking = number of short-term parking sessions / total number of parking sessions, proportion of medium-term parking = number of medium-term parking sessions / total number of parking sessions, and proportion of long-term parking = number of long-term parking sessions / total number of parking sessions.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于鹿城区智慧停车车辆的停车时长分类分析，通过将停车时长划分为免费、短时、中时和长时四个类别，并为每条数据打上相应标签。基于停车场ID和时长标签进行分组聚合，计算各类停车比例，如免费停车比例和短时停车比例，旨在揭示不同时长停车的分布规律。这有助于优化停车场的管理策略、收费机制和设施规划，从而提高停车场的运营效益并更好地满足区域停车需求。