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基于收入最大的市郊铁路组合票价制定方法
引用本文:黄文成,帅斌,张勤宇,李婷,何晓峰.基于收入最大的市郊铁路组合票价制定方法[J].交通运输系统工程与信息,2017,17(5):9-15.
作者姓名:黄文成  帅斌  张勤宇  李婷  何晓峰
作者单位:西南交通大学交通运输与物流学院,成都610031
基金项目:国家自然科学基金/ National Natural Science Foundation of China(71173177);国家铁路局科技计划项目/ State Railway Administration Science and Technology Project (KF2013-020)
摘    要:为获得最佳市郊铁路组合票价制定策略,利用SPSS软件拟合市郊铁路票价与客流量的关系式,通过不同票价折扣获得对应的客流量值,建立基于收入最大的组合票价方案比选模型.以成灌市郊铁路为例进行模型验证,分工作日和节假日、按不同时间段和年龄段分别进行票价组合设定,结果表明:工作日低峰期适当票价折扣、高峰期保持票价不变或小幅度提高票价是最佳组合票价形式;节假日低峰期小范围票价折扣或保持票价不变、高峰期适当提高票价或保持票价不变,是最佳组合票价形式;18岁以下未成年人和56岁及以上老年人适度票价折扣、提高18,56)岁旅客的票价,是最佳的分年龄段组合票价形式.

关 键 词:铁路运输  组合票价  定价策略  收入最大  
收稿时间:2016-11-15

Suburban Railway Combination Pricing Method under Maximizing Revenue
HUANGWen-cheng,SHUAI Bin,ZHANG Qin-yu,LI Ting,HE Xiao-feng.Suburban Railway Combination Pricing Method under Maximizing Revenue[J].Transportation Systems Engineering and Information,2017,17(5):9-15.
Authors:HUANGWen-cheng  SHUAI Bin  ZHANG Qin-yu  LI Ting  HE Xiao-feng
Institution:School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
Abstract:To obtain the best suburban railway combination pricing method, we use SPSS to fit the function between the passenger fares and passenger number. We control the tickets discount to get the corresponding passenger number, and establish a suburban railway combination pricing comparison model based on maximizing revenue. The historical data of Chengdu-Dujiangyan suburban railway line is applied to test the established model. The pricing combination conditions including: during working days and holidays, under different time period and passengers' age. The results show: appropriate fare discounts during low peak hours, no discount or a higher tickets charging during peak hours is the best combination pricing method for working days; appropriate fare discounts or no discounts during low peak hours, no discount or a higher tickets charging during peak hours is the best combination pricing method for working days; and discounts for the passengers who are under the age of 18 and 56 years of age or older, increasing passenger fares for 18,56) years old passengers, is the best combination pricing when considering the passengers’age.
Keywords:railway transportation  combination fares  pricing methods  maximizing revenue  
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