黔西双桥客运站销售及退票率分析数据集

数据采集：定时获取各客运站的发车日期、班次、售票数量、退票数量、退票时间等数据。 数据处理加工：计算站点/线路退票率：退票率 = 退票张数 / 总售票张数 × 100%。按时间维度（日、周、月）进行趋势分析，并支持按退票原因（如旅客主动退票、站方原因退票）进行分类统计。 数据应用：设定退票率正常范围，对持续或突然超出范围的站点进行告警。结合售票数据，分析退票对营收的实际影响，并关联班次准点率等服务数据，深度诊断问题根源。Data Collection: Periodically collect data including departure dates, trip numbers, ticket sales volume, ticket refund volume, and refund timestamps from various passenger terminals. Data Processing and Refinement: Calculate the refund rate for terminals or routes, defined as (number of refunded tickets / total sold tickets) × 100%. Conduct trend analysis across time granularities (daily, weekly, monthly), and support categorized statistics based on refund reasons, e.g., passenger-initiated refunds and refunds due to terminal-side issues. Data Application: Set normal refund rate thresholds, and trigger alerts for terminals that continuously or suddenly exceed the thresholds. Combine with ticket sales data to analyze the actual impact of refunds on revenue, and correlate with service metrics such as trip on-time performance to conduct in-depth root cause analysis of issues.

搜集汇总

背景与挑战

背景概述

该数据集专注于黔西双桥客运站的销售与退票率分析，数据规模为10KB，每日更新，旨在通过监控退票率波动和对比不同站点、线路的销售趋势，评估客运站的经营稳定性和服务质量。具体应用包括识别异常退票原因、优化运营资源，并基于退票率计算和趋势分析算法，辅助改进班次安排和服务问题，提升整体运营效率。