集装箱海铁联运补贴优化研究

doi:10.16097/j.cnki.1009-6744.2024.01.004

交通运输系统工程与信息 ›› 2024, Vol. 24 ›› Issue (1): 35-45.DOI: 10.16097/j.cnki.1009-6744.2024.01.004

• 综合交通运输体系论坛 • 上一篇下一篇

集装箱海铁联运补贴优化研究

吴云强^a，解乔雅^a，张戎^{*a, b}

同济大学，a. 城市交通研究院；b. 道路与交通工程教育部重点实验室，上海 201804

收稿日期:2023-09-12 修回日期:2023-10-19 接受日期:2023-11-01 出版日期:2024-02-25 发布日期:2024-02-10
作者简介:吴云强(1994- )，男，辽宁庄河人，博士生
基金资助:
高端外国专家引进计划(G2022133042L)

Optimization of Subsidies for Container Sea-rail Intermodal Transportation

WU Yunqiang^a, XIE Qiaoya^a, ZHANG Rong^{*a, b}

a. Urban Mobility Institute; b. Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, China

Received:2023-09-12 Revised:2023-10-19 Accepted:2023-11-01 Online:2024-02-25 Published:2024-02-10
Supported by:
High-end Foreign Experts Project (G2022133042L)

摘要/Abstract

摘要： 补贴是一种被政府广泛采用且能够有效促进海铁联运发展的措施。本文研究包括3种运输方式和两个起运港的集装箱运输系统中的海铁联运协同补贴优化问题。首先，构建双层规划模型描述政府与托运人之间的博弈关系，上层模型从政府角度出发，以海铁联运运量最大为目标，确定海铁联运班列单个重箱补贴金额；下层模型基于熵最大化理论，构建能力约束型巢式 Logit模型描述托运人对起运港和运输方式的选择行为。其次，通过Karush-Kuhn-Tucker条件将双层模型转化为单层模型，并利用松弛迭代算法求解。结果表明：补贴会促进海铁联运运量的增长，其增量主要来自公海联运转移的货运量，少部分来自水水联运转移；相比于不协同补贴，协同补贴不仅显著降低单箱补贴金额，还能提高海铁联运运量；货物时间价值对补贴效果产生影响，补贴具有中等时间价值货物的托运人将会获得最佳结果。

关键词: 综合运输, 补贴, 双层规划模型, 海铁联运, 能力约束型巢式Logit模型

Abstract: Providing subsidy is a widely-used method by the government to promote the development of sea-rail intermodal transportation. This paper investigates the optimization of coordinated subsidies for sea-rail intermodal transportation in a container freight system including three modes and two departure ports. A bi-level programming model is developed to describe the game relationship between the government and shippers. The upper-level model determines the subsidy amount per heavy container for each train from the government's perspective to maximize the volume of sea-rail intermodal transportation. The lower-level model represents shippers' choice behavior for departure ports and modes under subsidies using the capability constrained nested Logit model based on the entropy maximization theory. The bi-level model is then transformed into a single-level model by the Karush-Kuhn-Tucker condition which is solved by the relaxation iterative algorithm. The results show that subsidies can promote the growth of sea-rail intermodal transportation volume, mainly from the volume transferred through road-sea intermodal transportation, with a small amount from water-water intermodal transportation. Compared to the uncoordinated subsidy, the coordinated subsidy significantly reduces the subsidy amount per container and increases the volume. Moreover, time value affects the effectiveness of subsidies, and the best results can be obtained by providing subsidies to shippers with medium-time value goods.

Key words: integrated transportation, subsidies, bi-level programming model, sea-rail intermodal transportation; capability constrained nested Logit model

中图分类号:

U169.6

吴云强, 解乔雅, 张戎. 集装箱海铁联运补贴优化研究[J]. 交通运输系统工程与信息, 2024, 24(1): 35-45.

WU Yunqiang, XIE Qiaoya, ZHANG Rong. Optimization of Subsidies for Container Sea-rail Intermodal Transportation[J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(1): 35-45.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.tseit.org.cn/CN/10.16097/j.cnki.1009-6744.2024.01.004

http://www.tseit.org.cn/CN/Y2024/V24/I1/35

参考文献

[1] 唐继孟, 李建, 阳波. 补贴政策对集装箱公铁联运竞争力的影响分析[J]. 交通运输系统工程与信息, 2018, 18 (6): 201-208. [TANG J M, LI J, YANG B. Impact of subsidy policy on the competitiveness of container rail-road intermodal transport[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(6): 201-208.]

[2] ZHU L C. Effectiveness evaluation of freight subsidy policy from a broader clean production view: Case study of the Yiwu-Ningbo container freight corridor, China[J]. Journal of Cleaner Production, 2021, 313: 1-15.

[3] 宋达宽. 集装箱铁路运输定价与海铁联运补贴水平研究[D]. 大连: 大连海事大学, 2014. [SONG D K. The study of container freight rate pricing of railway and freight subsidy level of sea-rail intermodal transportation [D]. Dalian: Dalian Maritime University, 2014.]

[4] YANG J L, LUO M F, SHI M F. Optimal subsidies for rail containers: A bi-level programming solution[J]. Maritime Policy & Management, 2020, 47(2): 172-187.

[5] FENG F L, ZHANG T Z, LIU C G, et al. China railway express subsidy model based on game theory under "the Belt and Road" initiative[J]. Sustainability, 2020, 12, 5: 2083.

[6] 谢雨蓉, 高咏玲, 陈永东, 等. 市场竞争下考虑发车间隔的中欧班列定价与补贴决策研究[J]. 交通运输系统工程与信息, 2020, 20(4): 7-13, 20. [XIE Y R, GAO Y L, CHEN Y D, et al. Pricing and subsidy decisions of China Railway Express considering its departure interval under market competition[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(4): 7-13, 20.]

[7] YIN C Z, LU Y, XU X F, et al. Railway freight subsidy mechanism based on multimodal transportation[J]. Transportation Letters: The International Journal of Transportation Research, 2021, 13(10): 716-727.

[8] HU Q L, GU W H, WANG S A. Optimal subsidy scheme design for promoting intermodal freight transport[J]. Transportation Research Part E: Logistics and Transportation Review, 2022, 157: 102561.

[9] 徐菱, 徐瞳, 江文辉, 等. 基于货主偏好的中欧班列定价与补贴机制研究[J]. 交通运输系统工程与信息, 2023, 23(1): 2- 9. [XU L, XU T, JIANG W H, et al. Research on the pricing and subsidizing mechanism of China Railway Express based on the preference of shippers[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(1): 2-9.]

[10] ESPINOSA-ARANDA J L, CARCIA-RODENAS R, LUZ LOPEZ-CARCIA M L, et al. Constrained nested Logit model: Formulation and estimation[J]. Transportation, 2018, 45(5): 1523-1557.

[11] WU Y Q, ZHANG R. Evaluation model for port-hinterland intermodal freight network considering environmental impacts and capacity constraints[J]. Transportation Research Record, 2023, 2677(2): 462-478.

[12] 徐广岩. 内陆集装箱多式联运经济运距研究[J]. 铁道运输与经济, 2019, 41(12): 39- 44, 76. [XU G Y. A study on economic transport distance of inland container multi-modal transport[J]. Railway Transport and Economy, 2019, 41(12): 39-44, 76.]

[13] 张戎, 诸立超, 耿一飞. 融合感知差异的货代和货主选择行为异质性揭示[J]. 铁道学报, 2018, 40(5): 11-19. [ZHANG R, ZHU L C, GENG Y F. Revelation of choice behavior heterogeneity of freight forwarder and shipper incorporating perception difference[J]. Journal of the China Railway Society, 2018, 40(5): 11-19.]

[1]	杨东, 李艳红, 田春林. 交通运输行业碳排放自然达峰特征与峰值预测研究[J]. 交通运输系统工程与信息, 2024, 24(2): 34-44.
[2]	孙宗胜, 帅斌, 杨俊杰, 许旻昊. 客观赋权对快捷货运各方式间临界运距影响分析[J]. 交通运输系统工程与信息, 2024, 24(2): 45-52.
[3]	王爽, 孙翔. 基于车船直取模式的集装箱海铁联运衔接优化[J]. 交通运输系统工程与信息, 2024, 24(2): 53-62.
[4]	李宁海, 陈硕, 梁肖, 田佩宁. 我国交通运输业碳达峰时间预测[J]. 交通运输系统工程与信息, 2024, 24(1): 2-13.
[5]	汪玲, 王琪, 唐磊. 中国交通枢纽城市生态交通效率时空特征分析[J]. 交通运输系统工程与信息, 2024, 24(1): 14-23.
[6]	李琦, 魏玉光. 带时间窗的中心站多车程集卡调度优化研究[J]. 交通运输系统工程与信息, 2024, 24(1): 272-281.
[7]	孙宗胜, 帅斌, 许旻昊. 低碳背景下快捷货物各运输方式间临界运距研究[J]. 交通运输系统工程与信息, 2023, 23(6): 11-21.
[8]	曾玮, 贾晋中. 重载线路低负荷方向运力利用率提升策略与效益评估[J]. 交通运输系统工程与信息, 2023, 23(5): 130-135.
[9]	陈丹, 于慧, 汤程, 陈志雄, 汤淼. 城市公共客运交通碳排放及其大气环境影响的实证研究[J]. 交通运输系统工程与信息, 2023, 23(4): 1-10.
[10]	王超, 怀旭, 伍佳妮. 公铁联运下我国中西部地区低碳运输实证研究[J]. 交通运输系统工程与信息, 2023, 23(4): 24-33.
[11]	方涵潇, 刘灿, 蒋康, 肖怀宪, 唐运. 湖南省交通运输领域碳排放达峰路径研究[J]. 交通运输系统工程与信息, 2023, 23(4): 61-69.
[12]	吴维, 林芷伊, 陈旭梅. 基于双层博弈模型的机场间航线网络协同演化研究[J]. 交通运输系统工程与信息, 2023, 23(4): 237-250.
[13]	吴鹏, 李泽, 季海涛. 考虑排放控制区的绿色多式联运路径和速度优化[J]. 交通运输系统工程与信息, 2023, 23(3): 20-29.
[14]	许波桅, 唐灿璇, 李军军. 级联失效下海港一陆港集装箱运输网络鲁棒性分析[J]. 交通运输系统工程与信息, 2023, 23(3): 265-279.
[15]	黄爱玲, 刘梦寒, 李颖. 考虑网约车竞争的机场出租车供需均衡博弈模型[J]. 交通运输系统工程与信息, 2023, 23(2): 176-186.

集装箱海铁联运补贴优化研究

Optimization of Subsidies for Container Sea-rail Intermodal Transportation

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