Suburban Railway Combination Pricing Method under Maximizing Revenue

Abstract

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.

Key words: railway transportation, combination fares, pricing methods, maximizing revenue

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

CLC Number:

U293.4

HUANGWen-cheng, SHUAI Bin,ZHANG Qin-yu, LI Ting, HE Xiao-feng. Suburban Railway Combination Pricing Method under Maximizing Revenue[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(5): 9-15.

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.

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URL: http://www.tseit.org.cn/EN/abstract/abstract19478.shtml

http://www.tseit.org.cn/EN/Y2017/V17/I5/9

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