基于货运方式选择模型的铁路白货运输定价方法

doi:10.16097/j.cnki.1009-6744.2024.04.003

交通运输系统工程与信息 ›› 2024, Vol. 24 ›› Issue (4): 23-30.DOI: 10.16097/j.cnki.1009-6744.2024.04.003

• 综合交通运输体系论坛 • 上一篇下一篇

基于货运方式选择模型的铁路白货运输定价方法

刘峻麟^1a,1b，张戎^*1a,1b，孟祥涛^1a,1b，王玉光² ，李子睿^1a,1b

1. 同济大学，a.道路与交通工程教育部重点实验室，b.上海市轨道交通结构耐久与系统安全重点实验室，上海201804； 2. 中国铁路上海局集团有限公司，货运部，上海200071

收稿日期:2024-06-03 修回日期:2024-06-29 接受日期:2024-07-01 出版日期:2024-08-25 发布日期:2024-08-20
作者简介:刘峻麟(2001- )，男，辽宁凌源人，博士生。
基金资助:
中国铁路上海局集团有限公司管理创新课题立项计划(2023R03)。

Railway Freight Transportation Pricing of White Goods Based on Freight Mode Choice Model

LIU Junlin^1a,1b,ZHANG Rong^*1a,1b,MENG Xiangtao^1a,1b,WANG Yuguang²,LI Zirui^1a,1b

1a. Key Laboratory of Road and Traffic Engineering, Ministry of Education, 1b. Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, Shanghai 201804, China; 2. Freight Department, China Railway Shanghai Group Co Ltd, Shanghai 200071, China

Received:2024-06-03 Revised:2024-06-29 Accepted:2024-07-01 Online:2024-08-25 Published:2024-08-20
Supported by:
ManagementInnovationProjectInitiationProgramofChina Railway Shanghai Bureau Group Co. Ltd. (2023R03)。

摘要/Abstract

摘要： ：铁路货运价格市场化改革是推进多式联运及快捷物流发展的有效措施。本文考虑托运人选择行为及承运企业不同的货运经营目标，提出铁路“白货”运输市场化定价方法。首先，构建货运方式选择行为模型揭示托运人对运输方式的选择行为。其次，结合承运清算办法构建不同货运经营目标下的定价决策模型，建立铁路全程运输价格、全程运输时间等运输服务属性值与铁路运量、承运盈余、清算收入等指标间的量化关系，并计算“白货”货运清算单价下浮后各指标变化情况，基于此分析铁路货运定价策略。案例结果表明：当前光伏货物运价水平下铁路获得较高的运量，但承运盈余为负，不可长期维持现状运价水平；铁路全程运输中两端短驳运输费用占比过大，削弱了铁路运价下浮对托运人选择铁路货运的影响力；降低“白货”货运清算单价给予铁路运输更具有竞争力的运价下浮空间，可提高铁路分担率、承运盈余和清算收入，调动铁路承运企业开拓铁路“白货”运输市场的积极性。

关键词: 铁路运输, 市场化定价, 货运方式选择, 白货运输, 承运清算办法

Abstract: The market-oriented price reform of railway freight transportation is an effective measure to promote the development of multimodal transportation and express logistics. Considering the shipper's selection behavior and the carrier's different freight business objectives, this paper proposed a framework and method for market-oriented pricing of railway "white goods" transportation. First, a freight mode selection behavior model is constructed to describe the shipper's mode selection behavior. Second, the pricing decision model is constructed under different freight business objectives in combination with clearing measures for rail freight receipts. The quantitative relationship between the attribute values of transportation services, such as railway freight price and total transportation time, and the indexes, such as railway freight volume, surplus and clearing income, is established. And the changes of various indicators are calculated after the unit price of "white goods" freight settlement has decreased. Then the pricing strategy of railway freight transportation is analyzed. The results show that at the current level of photovoltaic freight rates, the railways have achieved higher transportation volume, but the transportation surplus is negative and cannot maintain the current level of freight rates in the long term. The excessive proportion of transportation costs at two terminals of the railway transportation chain will weaken the impact of railway freight rate fluctuations on the choice of shippers. Reducing the clearing unit price of "white goods" provides more space for railway transportation to lower freight rates, which can increase the railway's share, surplus and clearing income, and stimulate the enthusiasm of railway carrier enterprises to explore the railway "white goods" transportation market.

Key words: railway transportation, market-oriented pricing, freight mode choice, white goods transportation, clearing measures for railway freight transport receipts

中图分类号:

U2-9

刘峻麟, 张戎, 孟祥涛, 王玉光, 李子睿. 基于货运方式选择模型的铁路白货运输定价方法[J]. 交通运输系统工程与信息, 2024, 24(4): 23-30.

LIU Junlin, ZHANG Rong, MENG Xiangtao, WANG Yuguang, LI Zirui. Railway Freight Transportation Pricing of White Goods Based on Freight Mode Choice Model[J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(4): 23-30.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.tseit.org.cn/CN/10.16097/j.cnki.1009-6744.2024.04.003

http://www.tseit.org.cn/CN/Y2024/V24/I4/23

参考文献

[1]刘浩,申嘉琪,张戎.“公转铁”背景下铁路货运市场化定价策略[J]. 铁道货运, 2022, 40(10): 54-60. [LIU H, SHEN J Q, ZHANG R. Market-oriented pricing strategy of railway freight under the background of modal shift from road to rail[J]. Railway Freight Transport, 2022, 40 (10): 54-60.]

[2]史德耀.铁路货运承运清算模式下市场化定价研究[J]. 铁道货运, 2019, 37(10): 21-25. [SHI D Y. A study on the strategies to implement the market-pricing policy with railway freight carrier liquidation system[J]. Railway Freight Transport, 2019, 37(10): 21-25.]

[3]冯芬玲,李杰潞.基于Hoteling模型的公路和铁路货运价格与服务竞争[J]. 铁道科学与工程学报,2017,14 (2): 388-394. [FENG F L, LI J L. Price and service competition between rail and road freight transportation based on Hoteling model[J]. Journal of Railway Science and Engineering, 2017, 14(2): 388-394.]

[4]张桐,毛保华,曾玮,等.集装箱公铁联运定价策略的博弈分析[J]. 交通运输系统工程与信息,2018,18(6): 209-214, 256. [ZHANG T, MAO B H, ZENG W, et al. Pricing strategy of container rail-road intermodal transport based on game theory[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(6): 209-214, 256.]

[5] LABBÉ M, VIOLIN A. Bilevel programming and price setting problems[J]. Annals of Operations Research, 2016, 240(1): 141-169.

[6]片峰,陈阳,庞世花,等.考虑铁路折扣的集装箱公路与多式联运博弈定价[J].交通运输系统工程与信息, 2022, 22(4): 1-10. [PIAN F, CHEN Y, PANG S H, et al. Game pricing of container road and multimodal transport considering railway discount[J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(4): 1-10.]

[7] CREVIER B, CORDEAU J F, SAVARD G. Integrated operations planning and revenue management for rail freight transportation[J]. Transportation Research Part B: Methodological, 2012, 46(1): 100-119.

[8] 刘浩,申嘉琪,张戎,等.货运价格转换及基于揭示偏好数据的公铁竞争模型[J].交通运输系统工程与信息, 2023, 23(3): 85-93. [LIU H, SHEN J Q, ZHANG R, et al. Freight price conversion and road/rail competition model based on revealed preference data[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(3): 85-93.]

[9] 刘浩,张戎,诸立超.考虑空间特征的货运方式选择行为模型[J]. 交通运输系统工程与信息,2021,21(1):30 35. [LIU H, ZHANG R, ZHU L C. Freight mode choice behavior model incorporating spatial characteristics[J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(1): 30-35.]

[10] DE JONG G, TAVASSZY L, BATES J, et al. The issues in modelling freight transport at the national level[J]. Case Studies on Transport Policy, 2016, 4(1): 13-21.

[1]	李海军, 张晓洋, 高如虎, 魏德华, 陈晓明. 融合麻雀搜索与长短时记忆的疆煤铁路外运量预测[J]. 交通运输系统工程与信息, 2024, 24(5): 14-23.
[2]	曹猛, 袁振洲, 杨洋, 聂英杰, 那艳玲, 孙云超, 陈进杰. 京雄城际铁路全生命周期能耗及碳排放研究[J]. 交通运输系统工程与信息, 2024, 24(5): 37-44.
[3]	周厚盛, 戚建国, 杨立兴, 石俊刚, 张慧敏. 虚拟编组条件下城轨列车单元灵活运用方法[J]. 交通运输系统工程与信息, 2024, 24(5): 140-147.
[4]	杜鹏, 张路瑶. 考虑运行图抽线调整的城际铁路动车周转计划编制[J]. 交通运输系统工程与信息, 2024, 24(5): 148-159.
[5]	许景, 邓连波, 刘华儒, 胡心磊. 高铁列车动态定价与预售时段划分综合优化方法[J]. 交通运输系统工程与信息, 2024, 24(5): 259-267.
[6]	帅斌, 罗佳楠, 冯心妍, 黄文成. 虚拟编组下基于跟驰模型的列车群运行控制方法研究[J]. 交通运输系统工程与信息, 2024, 24(3): 1-11.
[7]	余琼霞, 候怡腾, 孙俊杰, 侯忠生. 高速列车受限自适应有限次迭代学习容错控制[J]. 交通运输系统工程与信息, 2024, 24(3): 140-150.
[8]	周文梁, 蒋志刚, 柴乃杰, 徐光明. 高速铁路列车开行方案与票价票额综合优化[J]. 交通运输系统工程与信息, 2024, 24(3): 151-163.
[9]	罗钦, 黄杉, 宋剑伟, 曾翠峰, 陈菁菁, 李伟. 基于资源约束的地铁运营施工任务调度研究[J]. 交通运输系统工程与信息, 2024, 24(2): 188-198.
[10]	孙国锋, 景云, 李和壁, 田志强, 田小鹏. 基于可解释机器学习框架的列车乘车区段客流分布预测方法[J]. 交通运输系统工程与信息, 2024, 24(2): 249-262.
[11]	苏鹏飞, 王果, 闵永智, 陶金豆, 李旭东, 刘昕玥. 高速铁路信号系统碳排放边界划分及分析[J]. 交通运输系统工程与信息, 2024, 24(2): 293-303.
[12]	常祎妹, 汪洋, 朱晓宁. 基于运载能力的铁路集装箱中心站轨道吊与集卡协同优化[J]. 交通运输系统工程与信息, 2024, 24(1): 188-198.
[13]	吴艺迪, 何世伟, 周汉. 重载铁路智慧港口站作业计划综合优化模型及算法研究[J]. 交通运输系统工程与信息, 2023, 23(6): 215-226.
[14]	张正坤, 朱昌锋, 景云, 邢进. 基于候车时间和效益损失的城轨列车运行计划优化[J]. 交通运输系统工程与信息, 2023, 23(5): 215-226.
[15]	庞子帅, 王丽雯, 彭其渊. 基于强化学习的干扰条件下高速铁路时刻表调整研究[J]. 交通运输系统工程与信息, 2023, 23(5): 279-289.

基于货运方式选择模型的铁路白货运输定价方法

Railway Freight Transportation Pricing of White Goods Based on Freight Mode Choice Model

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics