东阳共享电动车停车点动态定价数据

通过实时分析各停车点订单密度（如早高峰写字楼区域、晚高峰居民区）与车辆分布数据，动态计算供需失衡指数。针对高峰期车辆供不应求的停车点自动提升单价，低峰期车辆闲置率高的停车点降低单价或推送折扣券，解决传统静态定价导致的资源错配问题，平衡用户用车需求与平台资产利用率，实现整体营收增长与用户满意度双提升。1、数据来源：从东阳创享汽车服务有限公司的创享出行共享电动车运营平台系统中，采集用户骑行订单数据、停车点实时数据。
2、数据处理：对采集的数据进行数据清洗，剔除异常用户订单数据（如停车点相关信息为空的订单数据等）。将订单数据按照1小时进行时段划分。
3、数据计算：根据当前时段的订单量计算当前供需比【当前供需比=(2*上一个时段的订单数)/当前可用车辆数】和历史供需比【历史供需比=(2*最近7天同时段订单数)/当前可用车辆数】，再根据需求溢价模型计算价格调整系数【价格调整系数=min(max(当前供需比*0.6+历史供需比*0.4),0.8),1.5)】（即计算结果中“当前供需比*0.6+历史供需比*0.4”最低不得低于0.8，最高不得高于2，计算结果若小于0.8则按0.8取值，若大于1.5则按1.5取值）
4、数据应用：结果数据接入平台，用于租用共享电动车的价格计算，同时对价格系数调整的停车点进行实时提醒。

By conducting real-time analysis of order density and vehicle distribution data at each parking spot (e.g., office areas during morning rush hours, residential areas during evening rush hours), the supply-demand imbalance index is dynamically calculated. For parking spots with vehicle supply shortages during peak hours, the unit price is automatically increased; for parking spots with high vehicle idle rates during off-peak hours, the unit price is reduced or discount coupons are issued. This solves the problem of resource misallocation caused by traditional static pricing, balances user demand for shared e-scooters and the platform's asset utilization rate, and achieves dual improvements in overall revenue growth and user satisfaction.
1. Data Source: User riding order data and real-time parking spot data are collected from the Chuangxiang Travel shared e-scooter operation platform system of Dongyang Chuangxiang Automobile Service Co., Ltd.
2. Data Processing: Perform data cleaning on the collected data to filter out abnormal user order data (e.g., order data with empty parking spot-related information). Divide the order data into 1-hour time slots.
3. Data Calculation: Calculate the current supply-demand ratio and historical supply-demand ratio based on the order volume of the current time slot:
- Current supply-demand ratio = (2 * order count of the previous time slot) / current number of available vehicles
- Historical supply-demand ratio = (2 * order count of the same time slot over the past 7 days) / current number of available vehicles
Then calculate the price adjustment coefficient based on the demand premium model: Price adjustment coefficient = min(max(0.8, current supply-demand ratio * 0.6 + historical supply-demand ratio * 0.4), 1.5). Specifically, the result of "current supply-demand ratio * 0.6 + historical supply-demand ratio * 0.4" shall not be lower than 0.8 or higher than 2; if the calculated result is less than 0.8, it is set to 0.8, and if it is greater than 1.5, it is set to 1.5.
4. Data Application: The calculated result data is integrated into the platform for pricing calculations of shared e-scooter rentals, and real-time reminders are sent to parking spots with adjusted price coefficients.

搜集汇总

背景与挑战

背景概述

该数据集包含东阳共享电动车停车点的动态定价数据，涵盖停车点ID、名称、日期、时段、订单数、可用车辆数、供需比等字段，共1705条记录，每小时更新一次。通过实时分析订单密度和车辆分布数据，动态调整价格以优化资源利用率和用户满意度。