临平街道各路段停车区域收缴情况分析数据

收集临平街道各路段停车区域停车数据，观察不同路段泊位利用率、补缴占比、优惠力度等数据变化，帮助城市管理者了解各路段停车资源的供需情况，指导道路网络的设计以及公共交通的优化，从而科学调配停车资源，以减少交通拥堵，提升城市整体运行效率。1、数据采集：通过临平区智慧停车云平台收集临平街道各路段停车区域停车数据，包含：日期、所属街道、停车次数、泊位总数、免费次数、平均停车时长、泊位利用率、金额收缴率等字段；2、数据处理：对数据进行清洗、去除无效数据和极限数据等操作；3、算法加工：泊位利用率=停车次数/泊位数量；金额收缴率=停车应收金额/停车实时金额合计；补缴占比=补缴金额合计/（停车实时金额合计+补缴金额合计）；优惠力度=停车未收金额合计/（停车未收金额合计+停车实时金额合计+补缴金额合计）；4、数据应用：将泊位利用率、金额收缴率、补缴占比、优惠力度4个数据指标使用折线图绘制，观察个路段停车区域关键指标变化趋势。

This dataset collects parking data from parking areas along various road sections in Linping Subdistrict, aiming to observe changes in indicators such as parking bay utilization rate, supplementary payment ratio and preferential strength across different road sections. It assists urban managers in grasping the supply and demand status of parking resources in each road section, guiding road network design and public transportation optimization, so as to scientifically allocate parking resources, reduce traffic congestion and improve overall urban operational efficiency.

1. Data Collection: Parking data of parking areas along various road sections in Linping Subdistrict is collected through the Smart Parking Cloud Platform of Linping District. The dataset contains fields including date, affiliated subdistrict, number of parking occurrences, total number of parking bays, number of free parking instances, average parking duration, parking bay utilization rate and parking fee collection rate.

2. Data Processing: Clean the collected data by removing invalid data and outlier data, etc.

3. Algorithm Calculation: The following formulas are applied to calculate relevant indicators:
- Parking Bay Utilization Rate = Number of parking occurrences / Total number of parking bays
- Parking Fee Collection Rate = Total receivable parking fees / Total real-time collected parking fees
- Supplementary Payment Ratio = Total supplementary payment amount / (Total real-time collected parking fees + Total supplementary payment amount)
- Preferential Strength = Total uncollected parking fees / (Total uncollected parking fees + Total real-time collected parking fees + Total supplementary payment amount)

4. Data Application: Use line charts to visualize the four data indicators, namely parking bay utilization rate, parking fee collection rate, supplementary payment ratio and preferential strength, so as to observe the changing trends of key indicators in parking areas of each road section.

搜集汇总

数据集介绍

特点

该数据集记录了临平街道各路段停车区域的停车数据，包含901条记录，每月更新一次。数据涵盖了停车次数、泊位利用率、金额收缴率等关键指标，主要用于分析停车资源的供需情况，帮助城市管理者优化道路设计和公共交通，提升城市运行效率。