杭州市萧山区停车场车位利用情况分析数据

本数据的面向用户及其应用场景描述如下：
1.面向停车场运营商：本数据可帮助停车场运营商通过分析停车时长的稳定性，识别停车资源管理和分配效率，优化停车策略，如动态调整停车费用、分区管理、共享停车位开发等，以鼓励车辆快速周转，提高车位利用率。
2.面向城市规划或交通管理部门：通过分析不同停车场的车位利用规律，有助于城市规划或交通管理部门了解区域内交通流量的分布和变化特征，进而优化道路设计、交通信号控制等交通管理措施，缓解交通拥堵问题。
3.面向停车场所在商圈的商户：本数据可在一定程度上反映停车场附近居民整体的出行特征，有助于辅助商家描绘客户画像，从而推出有针对性的营销策略。1.数据获取和预处理：（1）通过授权获得萧山区不同停车场每日的停车数据，具体数据字段包括停车场编号、停车场名称、统计日期、车牌号码、车辆入场时间、车辆离开时间、车位总数。（2）对获取的数据进行清洗，对“车牌号码”进行脱敏。
2.数据加工：（1）根据车辆离开和入场时间，计算每辆车的停车时长（单位为分钟）。（2）计算当日总停车时长（单位为分钟）：对统计日期内每辆车的停车时长进行累加。（3）计算当日总停车次数：对统计日期内的停车次数进行累加。（4）计算当日平均停车时长：当日总停车时长÷车位总数。（5）计算每辆车停车时长与当日平均停车时长差的平方D：（每辆车的停车时长-当日平均停车时长）²。（6）计算方差S和标准差σ：S=（当日D值的和）÷当日总停车次数；σ=SQRT（S）。（7）当日车位利用情况分析：σ＜100时，判定为当日停车时长稳定，停车场资源的管理和分配合理高效；100≤σ≤200时，判定为当日停车时长存在一定差异，停车资源的分配和管理上有优化空间；σ＞200时，判定为停车时长波动大，可能存在部分车辆长时间占用、部分车辆频繁进出的情况。

The target users and their application scenarios of this dataset are described as follows:
1. For parking lot operators: This dataset can help parking lot operators analyze the stability of parking duration, identify the efficiency of parking resource management and allocation, and optimize parking strategies such as dynamically adjusting parking fees, zoning management, and shared parking space development, so as to encourage rapid vehicle turnover and improve parking space utilization.
2. For urban planning or traffic management departments: By analyzing the parking space utilization rules of different parking lots, it helps urban planning or traffic management departments understand the distribution and changing characteristics of regional traffic flow, and then optimize traffic management measures such as road design and traffic signal control to alleviate traffic congestion.
3. For merchants in the business district where the parking lot is located: This dataset can reflect the overall travel characteristics of residents near the parking lot to a certain extent, helping merchants depict customer portraits and launch targeted marketing strategies.

1. Data acquisition and preprocessing:
(1) Obtain daily parking data of different parking lots in Xiaoshan District through authorization. The specific data fields include "parking lot number", "parking lot name", "statistical date", "license plate number", "vehicle entry time", "vehicle departure time", and "total number of parking spaces".
(2) Clean the acquired data and desensitize the "license plate number".

2. Data processing:
(1) Calculate the parking duration of each vehicle (unit: minute) based on the vehicle departure time and entry time.
(2) Calculate the total daily parking duration (unit: minute): sum up the parking duration of each vehicle within the statistical date.
(3) Calculate the total daily parking times: sum up the number of parking times within the statistical date.
(4) Calculate the average daily parking duration: total daily parking duration ÷ total number of parking spaces.
(5) Calculate the square D of the difference between the parking duration of each vehicle and the average daily parking duration: (parking duration of each vehicle - average daily parking duration)².
(6) Calculate the variance S and standard deviation σ: S = (sum of daily D values) ÷ total daily parking times; σ = SQRT(S).
(7) Analysis of daily parking space utilization: When σ < 100, it is determined that the daily parking duration is stable, and the management and allocation of parking lot resources are reasonable and efficient; When 100 ≤ σ ≤ 200, it is determined that there are certain differences in daily parking duration, and there is room for optimization in the allocation and management of parking resources; When σ > 200, it is determined that the parking duration fluctuates greatly, and there may be situations where some vehicles occupy parking spaces for a long time and some vehicles enter and exit frequently.

搜集汇总

数据集介绍

特点

该数据集记录了杭州市萧山区多个停车场的车位利用情况，包含停车场编号、名称、统计日期、停车时长等关键字段，数据规模为969条，每日更新。适用于停车场运营商优化停车策略、城市规划部门优化交通管理以及商户进行客户画像分析。