环城北路停车区域收缴情况分析数据
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收集金华市环城北路停车区域停车数据，观察环城北路泊位利用率、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：通过收集环城北路停车区域停车数据，包含：日期、路段名称、停车次数、泊位总数、平均停车时长、泊位利用率、实时金额收缴率等字段；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/泊位总数；实时金额收缴率=停车实时金额合计/停车应收金额；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、实时金额收缴率、补缴占比、优惠力度4个数据指标使用折线图绘制，观察环城北路停车区域关键指标变化趋势。
Collected parking data from parking areas along North Huancheng Road, Jinhua City, to monitor changes in key metrics including parking space utilization rate, proportion of supplementary payments, and discount intensity. This dataset aims to assist urban managers in grasping the supply and demand status of parking resources across various road sections, guide road network design and public transportation optimization, thereby enabling scientific allocation of parking resources, reducing traffic congestion, and improving overall urban operational efficiency. 1. Data Collection: Collect parking data from the aforementioned parking areas, which includes fields such as date, road section name, number of parking occurrences, total number of parking spaces, average parking duration, parking space utilization rate, and real-time payment collection rate. 2. Data Preprocessing: Clean the collected data, remove invalid data and outlier (extreme) data, etc. 3. Algorithm-Based Indicator Calculation: - Parking space utilization rate = Number of parking occurrences / Total number of parking spaces - Real-time payment collection rate = Total real-time parking collected amount / Total parking receivable amount - Proportion of supplementary payments = Total supplementary payment amount / (Total real-time parking collected amount + Total supplementary payment amount) - Discount intensity = Total unpaid parking amount / (Total unpaid parking amount + Total real-time parking collected amount + Total supplementary payment amount) 4. Data Application: Visualize the four key indicators (parking space utilization rate, real-time payment collection rate, proportion of supplementary payments, and discount intensity) using line charts to observe the changing trends of core indicators in the parking areas along North Huancheng Road.
