长沙区域共享单车用户分级数据

通过数据的处理计算，可以对该地区用户实行分级管理，帮助企业动态调整运营策略，提升企业服务水平，优化资源分配。本行业均可采用该方法对用户进行分级管理，提高用户忠诚度和满意度，有助于推行绿色低碳出行，助力中国早日实现“碳中和”“碳达峰”。1、数据采集：用户ID，用户消费、使用等信息。 2、数据处理：对采集到的原始数据进行处理，去除缺失和异常数据。3、数据分析：基于熵权法的AHP模型，目标层为用户价值，指标层将用户价值指标体系分为以下四大价值维度。1）最近使用时间T={≤3天：10分，≤7天：8分，≤15天：6分，≤30天：4分，≤60天：2分，其余：0分}；2）使用频次P={≥60次/月：10分，≥45次/月：8分，≥30次/月：6分，≥20次/月：4分，≥10次/月：2分，其余：0分}；3）使用忠诚度D={≥12个月：10分，≥10个月：8分，≥8个月：6分，≥6个月：4分，≥2个月：2分，其余：0分}；4）消费等级K={≥1000元:10分，≥800元:8分，≥500元:6分，≥300元:4分，≥100元:2分，其余：0分}。Q=T+P+D+K，用户类型=IFS（Q≥36，“4星用户”，36＞Q≥30，“3星用户”，30＞Q≥20，“2星用户”，20＞Q＞10，“1星用户”，Q≤10，“新用户”）。

Through data processing and calculation, hierarchical management can be implemented for users in this region, assisting enterprises in dynamically adjusting operational strategies, enhancing service quality, and optimizing resource allocation. This method is applicable to user hierarchical management across the entire industry, which helps improve user loyalty and satisfaction, promotes green and low-carbon travel, and supports China in achieving the goals of "peak carbon dioxide emissions" and "carbon neutrality" at an early date.
1. Data Collection: Collect user ID, user consumption and usage-related information.
2. Data Processing: Process the collected raw data by eliminating missing and abnormal data entries.
3. Data Analysis: Adopt the AHP (Analytic Hierarchy Process) model based on the entropy weight method. The target layer is user value, and the indicator layer divides the user value index system into the following four value dimensions:
1) Recency of Usage (T): {≤3 days: 10 points, ≤7 days: 8 points, ≤15 days: 6 points, ≤30 days: 4 points, ≤60 days: 2 points, others: 0 points}
2) Frequency of Usage (P): {≥60 times/month: 10 points, ≥45 times/month: 8 points, ≥30 times/month: 6 points, ≥20 times/month: 4 points, ≥10 times/month: 2 points, others: 0 points}
3) Usage Loyalty (D): {≥12 months: 10 points, ≥10 months: 8 points, ≥8 months: 6 points, ≥6 months: 4 points, ≥2 months: 2 points, others: 0 points}
4) Consumption Level (K): {≥1000 yuan: 10 points, ≥800 yuan: 8 points, ≥500 yuan: 6 points, ≥300 yuan: 4 points, ≥100 yuan: 2 points, others: 0 points}
Q = T + P + D + K, and user type is determined using the IFS function as follows: IFS(Q≥36, "4-star user", 36>Q≥30, "3-star user", 30>Q≥20, "2-star user", 20>Q>10, "1-star user", Q≤10, "new user")

搜集汇总

数据集介绍

特点

长沙区域共享单车用户分级数据集包含2310条记录，涵盖用户ID、使用时间、消费金额等关键字段，用于通过AHP模型对用户进行分级管理，助力企业优化运营策略和资源分配。