停车场周转率数据

停车周转率是指在一定时间内每个停车泊位平均停放的车辆次数，常用在一定时间内的累计停放车辆数与停车设施容量的比值来表示，它反映的是停车设施泊位的空间利用效率。停放周转率越高，车辆的停放和驶离就越频繁，泊位的空间利用效率也就越高。 停车场周转率数据对停车场管理者来说有多个重要的应用场景和价值，高周转率意味着停车位需求高，可能需要增加停车位或优化停车流程以减少拥堵，相反，低周转率可能表明停车位过剩或使用不充分，管理者可以考虑将这些资源重新分配到更需要的地方，或者调整定价策略以提高使用率。 对于交通管理者来说，高周转率可能意味着停车场出入口的车辆流量大，这会对周边交通造成影响。通过分析周转率，可以优化交通流向，比如设置专用车道或调整信号灯时序，以减少对周围交通的影响，或者是可能需要考虑增加停车设施或改善公共交通接驳。 对于共享停车模式来说，周转率数据可以帮助识别哪些停车场在特定时间段内使用率低，这些信息可以用来推动共享停车模式，提高停车资源的整体利用效率。1、数据采集：通过智能停车的道闸系统采集车辆进出停车场的数据，包括停车场id，日期，日入场数，总泊位数等；2、数据处理：对停车场进行编码，用id码指向唯一停车场，对数据进行清洗、去噪、补全；3、数据加工：停车场id指向告警的具体停车场，日期代表数据记录的时间，日入场数代表该停车场当天进入停车场的车辆次数合计，总泊位数代表该停车场总共的泊位数合计，场库周转率是指在一天内每个停车泊位平均停放的车辆次数，场库周转率的算法为场库周转率=日入场数/总泊位数。

Parking turnover rate refers to the average number of vehicle parking cycles per parking bay within a specified period, typically calculated as the ratio of the total accumulated number of parked vehicles during the period to the parking facility's total capacity. It reflects the spatial utilization efficiency of parking bays. A higher parking turnover rate indicates more frequent vehicle parking and departure, leading to higher spatial utilization efficiency of the bays.

Parking turnover data has multiple critical application scenarios and values for parking facility managers. A high turnover rate signals strong demand for parking spaces, which may require increasing parking capacity or optimizing parking operations to reduce congestion. Conversely, a low turnover rate may indicate oversupply or underutilization of parking spaces, allowing managers to consider reallocating these resources to areas with greater demand, or adjusting pricing strategies to boost utilization rates.

For traffic administrators, a high turnover rate implies large vehicle volumes at parking entrances and exits, which may exert impacts on surrounding traffic. By analyzing turnover rates, traffic flow can be optimized—for example, by setting up dedicated lanes or adjusting signal timing to mitigate impacts on surrounding traffic, or considering the addition of parking facilities or improving public transit connections.

For shared parking models, turnover data can help identify parking facilities with low utilization during specific time periods. This information can be used to promote shared parking schemes and improve the overall utilization efficiency of parking resources.

1. Data Collection: Collect vehicle entry and exit data from parking facilities via intelligent parking barrier systems, including parking lot ID, date, daily entry count, total parking bays, and other relevant information.
2. Data Processing: Encode parking facilities, use unique ID codes to identify individual parking lots, and perform data cleaning, denoising, and completion operations.
3. Data Enrichment: The parking lot ID points to the specific parking facility being recorded; the date represents the time when the data was logged; the daily entry count refers to the total number of vehicles that entered the parking lot on that day; the total parking bays refer to the total number of parking spaces available at the facility. The parking facility turnover rate refers to the average number of vehicle parking cycles per parking bay within one day, and its calculation formula is: Parking Facility Turnover Rate = Daily Entry Count / Total Parking Bays.

搜集汇总

数据集介绍

特点

停车场周转率数据集包含532条记录，每日更新，数据格式为xlsx，适用于停车场管理、交通管理和共享停车模式等多个应用场景。数据集通过智能停车道闸系统采集，包含停车场id、日期、日入场数、总泊位数和场库周转率等字段。