金华客运站退票率分析数据

通过分析金华客运站的售票数据，了解车辆线路、售票日期、售票数量、退票数量等信息，掌握售票情况和退票情况，通过这些数据可以评估路线班次的售退票运营情况，为规划车辆售票时间区间提供数据支撑，从而为票务管理和运输服务提供保障。1、数据采集：通过金华客运站“巴巴驿站智慧站务”系统，实时采集售卖日期、售卖站名称、售卖站编号等相关数据，确保数据的准确性和实时性。 2、数据处理：对采集到的数据进行清理和整理，确保数据的完整性。基于加工后的数据统计总票数、正常票数、退票数等数据，计算全票数、半票数、军票数、废票数、退票数等票数统计信息。①票据计算：根据全票金额、半票金额、军票金额等票据信息，计算实际售票金额，并进行票据分类统计。②废票和退票处理：统计废票数、废票额、退票数等信息，统计其中免费退票额。③改换补票处理：统计改换补票的数量和金额，并进行分类汇总。④运费计算：根据承运单位和运费信息，计算实际的运费支出情况。通过这些算法规则，对售票数据进行全面分析，为汽车站的票务管理和运输服务提供数据支持，优化票务流程，提升服务质量。 3、数据应用：通过分析退票率，发现哪些班次的退票率较高，进而调整发车时间，班次频率或线路设置，优化资源配置By analyzing the ticket sales data of Jinhua Passenger Terminal, including information such as vehicle routes, ticket sale dates, ticket sales volume and refund volume, we can grasp the status of ticket sales and refunds. These data can be used to evaluate the operation of ticket sales and refunds for route schedules, provide data support for planning the ticket sale time intervals of vehicles, and thus guarantee ticketing management and transportation services. 1. Data Collection: Relevant data such as sale dates, sales station names and sales station IDs are collected in real-time through the "Baba Yizhi Intelligent Station Management" system of Jinhua Passenger Terminal, to ensure the accuracy and timeliness of the data. 2. Data Processing: Clean and organize the collected data to ensure data integrity. Based on the processed data, statistics such as total ticket count, normal ticket count and refund ticket count are conducted, and ticket statistics including full-price ticket count, half-price ticket count, military discount ticket count, void ticket count and refund ticket count are calculated. ① Ticket Calculation: Calculate the actual ticket sales amount based on ticket information such as full-price ticket amount, half-price ticket amount and military discount ticket amount, and conduct classified statistics of tickets. ② Void Ticket and Refund Processing: Count information such as void ticket count, void ticket amount and refund ticket count, including the free refund amount. ③ Ticket Change and Supplementary Ticket Processing: Count the quantity and amount of changed and supplementary tickets, and conduct classified summary. ④ Freight Calculation: Calculate the actual freight expenditure based on the carrier unit and freight information. Through these algorithm rules, comprehensive analysis of ticket sales data is carried out to provide data support for the ticketing management and transportation services of the passenger terminal, optimize the ticketing process and improve service quality. 3. Data Application: By analyzing the refund rate, identify which schedules have a relatively high refund rate, then adjust departure times, schedule frequencies or route settings to optimize resource allocation.

搜集汇总

数据集介绍

特点

金华客运站退票率分析数据集包含4965条记录，每日更新，记录了售票日期、售票站名称、售票数量、退票数量等信息，用于评估路线班次的售退票运营情况，优化票务管理和运输服务。