基于相关性分析的旅客列车客票收入测算方法研究  

Passenger train ticket revenue measurement method based on relevance analysis

作　　者：贾新茹 闫立斌 张永 李永 冯焱 JIA Xinru;YAN Libin;ZHANG Yong;LI Yong;FENG Yan(Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China;Finance Department, China Railway, Beijing 100844, China)

机构地区：[1]中国铁道科学研究院集团有限公司电子计算技术研究所,北京100081 [2]中国铁路总公司财务部,北京100844

出　　处：《铁路计算机应用》2019年第4期18-21,27,共5页Railway Computer Application

基　　金：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)

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。Train ticket revenue is a transport index of passenger trains. By using the method of relevance analysis, this article studied the influence rule of passenger train’s passenger occupancy rate, mileage and ticket revenue. On the basis of the linear relevance between train’s passenger occupancy rate and ticket revenue, a new passenger train ticket revenue estimation algorithm was proposed. Based on historical data, the unit mileage revenue measurement tables for different 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.

关 键 词：客票收入 相关性 离散化 客座率 

分 类 号：U293.22[交通运输工程—交通运输规划与管理] F530.5[交通运输工程—道路与铁道工程]