基于相关性分析的旅客列车客票收入测算方法研究

基金项目:

中国铁道科学研究院科研专项（J2016X005）；中国铁道科学研究院基金课题（2016YJ100）

Passenger train ticket revenue measurement method based onrelevance analysis

1. Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China;
2. Finance Department, China Railway, Beijing 100844, China

摘要: 列车客票收入是旅客列车的一个运输指标，通过应用相关性分析方法，研究旅客列车的客座率、里程与列车客票收入的影响规律，在客座率与客票收入之间线性相关的基础上，提出了一种新开行旅客列车客票收入估算算法，并基于历史数据测算出不同类型列车各客座率情况下单位里程收入测算表。经过与实际数据比对，基于测算表的列车收入测算操作简便，准确性高。
- 客票收入 /
- 相关性 /
- 离散化 /
- 客座率
Abstract: Train ticket revenue is a transport index of passenger trains. By using the method of relevance analysis, thisarticle studied the influence rule of passenger train's passenger occupancy rate, mileage and ticket revenue. On thebasis of the linear relevance between train's passenger occupancy rate and ticket revenue, a new passenger train ticketrevenue estimation algorithm was proposed. Based on historical data, the unit mileage revenue measurement tables fordifferent types of trains with different train's passenger occupancy rate were calculated. Compared with the actual data,the calculation of train revenue based on the measurement tables was simple and accurate.
- ticket revenue /
- relevance /
- discretization /
- train's passenger occupancy rate

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