基于货物时间价值的空铁联运转运枢纽选址优化

doi:10.16097/j.cnki.1009-6744.2023.01.006

交通运输系统工程与信息 ›› 2023, Vol. 23 ›› Issue (1): 48-57.DOI: 10.16097/j.cnki.1009-6744.2023.01.006

• 综合交通运输体系论坛 • 上一篇下一篇

基于货物时间价值的空铁联运转运枢纽选址优化

申皓¹，张锦^1,2,3，孙文杰¹，洪治潮¹，李国旗^*1,2,3

1. 西南交通大学，交通运输与物流学院，成都 611576；2. 综合交通运输智能化国家地方联合工程实验室，成都 611576； 3. 综合交通大数据应用技术国家工程实验室，成都 611576

收稿日期:2022-11-26 修回日期:2022-12-08 接受日期:2022-12-19 出版日期:2023-02-25 发布日期:2023-02-16
作者简介:申皓(1996- )，男，山西长治人，博士生。
基金资助:
国家自然科学基金(42271195, 72173101)

Optimization of Air-rail Transshipment Hub Location Based on Time Value of Goods

SHEN Hao¹, ZHANG Jin^1,2,3, SUN Wen-jie¹, HONG Zhi-chao¹, LI Guo-qi^*1,2,3

1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611576, China; 2. National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu 611576, China; 3. National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Chengdu 611576, China

Received:2022-11-26 Revised:2022-12-08 Accepted:2022-12-19 Online:2023-02-25 Published:2023-02-16
Supported by:
National Natural Science Foundation of China (42271195, 72173101)

摘要/Abstract

摘要： 高效合理的联运网络是空铁联运快递服务产品创新的重要支撑。本文在考虑货物时间价值的基础上，以空铁联运转运枢纽的位置以及运输方式选择为决策变量，构建以综合成本最低为目标的空铁联运转运枢纽选址模型，并设计变邻域遗传算法进行模型求解。以截至2019年开通高铁并设有机场的200个地级城市为例，采用复杂网络和优劣解距离法结合的方法选取空铁联运转运枢纽的备选城市，验证模型和算法的实用性及有效性。结果表明，运输时间限制和折扣系数是影响空铁联运网络综合成本的重要因素。随着运输时间限制的增加以及折扣系数的降低，空铁联运网络综合成本分别降低了15%和11%。空铁联运转运枢纽的空间布局主要受运输时间限制的影响。运输时间限制较低时，空铁联运转运枢纽布局以东北地区和西部地区为主，以提高快递运输的时效性。运输时间限制较高时，空铁联运转运枢纽布局向中东部地区转移，为经济服务趋势明显。空铁联运网络最优枢纽数量则受运输时间限制和折扣系数的综合影响，但运输时间限制对于最优枢纽数量的影响更为显著。合理布局空铁联运转运枢纽和提升空铁联运规模效益是提高空铁联运服务时效性和竞争力的重要途径。

关键词: 综合运输, 转运枢纽选址, 变邻域遗传算法, 空铁联运, 时效性

Abstract: An efficient and reasonable intermodal transport network is an important support for the innovation of air-rail intermodal express service products. In this paper, considering the time value of goods, an air-rail intermodal transfer hub location model is constructed, which takes the location of the air-rail intermodal transfer hub and the choice of transportation mode as decision variables with the objective of the lowest comprehensive cost. A variable neighborhood genetic algorithm is designed to solve the model. Using 200 prefecture-level cities with high-speed rail and airports as of 2019, alternative cities for air-rail transit hubs were selected using a combination of complex networks and superiordisadvantage solution distance methods. The practicality and effectiveness of the model and algorithm are verified. The results show that the transportation time limit and discount factor are important factors affecting the comprehensive cost of the air-rail intermodal transportation network. With the increase in transportation time limit and the decrease in the discount factor, the integrated cost of the air-rail intermodal transportation network is reduced by 15% and 11% respectively. The spatial layout of air- rail intermodal transfer hubs is mainly influenced by transport time constraints. When the transportation time limit is low, the layout of air-rail intermodal transfer hubs is mainly in the northeast and western regions to improve the timeliness of express transportation. When the transport time limit is high, the layout of air-rail transit hubs shifts to the central and eastern regions to serve the economy. The optimal number of hubs in the airrail intermodal transport network is influenced by the combination of the transport time limit and discount factor, but the transport time limit has a more significant impact on the optimal number of hubs. It is an important way to improve the timeliness and competitiveness of air-rail intermodal transport services to reasonably arrange air-rail intermodal transport hubs and improve the scale efficiency of air-rail intermodal transport.

Key words: integrated transportation, transport hub location, variable neighborhood genetic algorithm, air- rail intermodal transportation, timeliness

中图分类号:

申皓, 张锦, 孙文杰, 洪治潮, 李国旗. 基于货物时间价值的空铁联运转运枢纽选址优化[J]. 交通运输系统工程与信息, 2023, 23(1): 48-57.

SHEN Hao, ZHANG Jin, SUN Wen-jie, HONG Zhi-chao, LI Guo-qi. Optimization of Air-rail Transshipment Hub Location Based on Time Value of Goods[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(1): 48-57.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.tseit.org.cn/CN/10.16097/j.cnki.1009-6744.2023.01.006

http://www.tseit.org.cn/CN/Y2023/V23/I1/48

参考文献

[1] 李国旗, 申皓, 焦敬娟. 依托高速铁路网络的快递转运枢纽选址研究[J]. 铁道学报, 2021, 43(4): 9-14. [LI G Q, SHEN H, JIAO J J. Study on location of express transshipment hubs based on high-speed railway network [J]. Journal of the China Railway Society, 2021, 43(4): 9- 14.]

[2] BASALLO-TRIANA M J, VIDAL-HOLGUíN C J, BRAVO-BASTIDAS J J. Planning and design of intermodal hub networks: A literature review[J]. Computers & Operations Research, 2021, 136: 105469.

[3] DUKKANCI O, KARA B Y. Routing and scheduling decisions in the hierarchical hub location problem[J]. Computers & Operations Research, 2017, 85: 45-57.

[4] 张新放, 吕靖, 彭琰. 集装箱陆海联运枢纽辐射范围模型研究[J]. 铁道学报, 2021, 43(6): 8-16. [ZHANG X F, LV J, PENG Y. Radiation range model of container landsea intermodal hub[J]. Journal of the China Railway Society, 2021, 43(6): 8-16.]

[5] 冯芬玲, 孙楠佳. 考虑时间价值的中非多式联运路径与出海港选择[J]. 交通运输系统工程与信息, 2022, 22 (2): 45-53. [FENG F L, SUN N J. Time value based route and port selection for China and Africa multimodal transportation[J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(2): 45-53.]

[6] 欧阳杰, 尚芮, 梁旭. 快件空铁联运组织模式及联运站场布局研究[J]. 铁道运输与经济, 2021, 43(9): 108- 115. [OUYANG J, SHANG R, LIANG X. Research on organization mode and station yard layout of air-rail express transportation[J]. Railway Transport and Economy, 2021, 43(9): 108-115.]

[7] 王铭飞. 高铁快运背景下空铁联运枢纽网络优化设计 [D]. 成都: 西南交通大学, 2019. [WANG M F. Research on optimum design of air-rail intermodal transport hub network under the background of CRH express[D]. Chengdu: Southwest Jiaotong University, 2019.]

[8] YU S, JIANG Y. Network design and delivery scheme optimisation under integrated air-rail freight transportation[J/OL]. International Journal of Logistics Research and Applications. (2021-05-17) [2022-12- 17]. https: //www. tandfonline. com/ doi/ full/ 10.1080/ 13675567.2021.1928032.

[9] YAO Z, GAN M, LI X, et al. Strategic plan for China's air high-speed rail express freight network and its carbon reduction potential[J/OL]. Environ Sci Pollut Res Int. (2022-11-21) [2022-12-17]. https://link.springer.com/ article/10.1007/s11356-022-24244-6.

[10] 韩珣, 张锦, 曾倩. 考虑合作覆盖的多级自提点选址问题[J]. 交通运输系统工程与信息, 2019, 19(1): 165- 171. [HAN X, ZHANG J, ZENG Q. Multi-level pickup point layout under cooperative coverage[J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(1): 165-171.]

[11] 温馨, 殷艳娜, 徐剑. 基于改进引力模型的区域物流辐射能力测度与评估[J]. 统计与决策, 2021, 37(6): 90- 94. [WEN X, YAN Y N, XU J. Measurement and evaluation of regional logistics radiation capacity based on improved gravity model[J]. Statistics & Decision, 2021, 37 (6): 90-94.]

[12] 张程. 中国快递运输量与货品价值测算[J]. 长安大学学报(社会科学版), 2015, 17(3): 20-23. [ZHANG C. Estimation of industry transportation volume and value of national ourier industry[J]. Journal of Chang'an University (Social Science Edition), 2015, 17(3): 20-23.]

[13] 冯芬玲, 梁俊凯, 刘承光, 等.“一带一路”背景下中欧班列竞争力分析: 基于货物细分和Logit模型[J]. 技术经济, 2020, 39(3): 119-128. [FENG F L, LIANG J K, LIU C G, et al. Analysis of competitiveness of China and europe in the context of "One Belt and One Road" based on goods segmentation and Logit model[J]. Journal of Technology Economics, 2020, 39 (3): 119-128.]

[1]	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.
[2]	刘松, 舒文, 彭勇, 邵毅明, 乐美龙. 双重不确定下应急物资多式联运可靠路径优化[J]. 交通运输系统工程与信息, 2023, 23(1): 58-66.
[3]	郭姝娟, 魏梓峰, 孙正宇, 李一义, 李纲. 疫情不同阶段西部陆海新通道市场分担率变化研究[J]. 交通运输系统工程与信息, 2023, 23(1): 305-313.
[4]	曾玮, 贾晋中. 新形势下中欧班列的市场空间及其改善策略[J]. 交通运输系统工程与信息, 2022, 22(6): 60-67.
[5]	关雎文, 周琪, 毛保华. 碳排放控制的国际比较及经验借鉴[J]. 交通运输系统工程与信息, 2022, 22(6): 281-290.
[6]	马奇飞, 贾鹏, 匡海波. 中国综合交通运输绿色效率的空间特征研究[J]. 交通运输系统工程与信息, 2022, 22(6): 300-308.
[7]	王佳彬, 孙启鹏, 吴群琪, 杨涵晞, 马飞, 郑颖颖, 任玮. 基于位移剩余的最优货物运输服务分析[J]. 交通运输系统工程与信息, 2022, 22(5): 47-54.
[8]	季金华, 刘亚君, 别一鸣, 王琳虹. 基于无人机与卡车协作的封控社区生活物资配送方法[J]. 交通运输系统工程与信息, 2022, 22(5): 264-272.
[9]	片峰, 陈阳, 庞世花, 苏敏. 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.
[10]	邓桂花, 钟鸣, RAZA Asif, HUNT John-douglas, 周勇. 基于整体规划框架的区域综合货运规划建模方法研究[J]. 交通运输系统工程与信息, 2022, 22(4): 30-42.
[11]	张峻屹, 李双金, 马爽. 基于市民生活行为学的交通行为研究综述[J]. 交通运输系统工程与信息, 2022, 22(2): 1-16.
[12]	李杰梅, 高丽, 祁婧洁, 尹琪. 腹地-口岸可达性格局演化及其空间溢出效应分析[J]. 交通运输系统工程与信息, 2022, 22(2): 29-36.
[13]	冯芬玲, 孙楠佳. 考虑时间价值的中非多式联运路径与出海港选择[J]. 交通运输系统工程与信息, 2022, 22(2): 45-53.
[14]	刘忠波, 王淇娴, 郑红星. 海空协同的远海岛礁战储物资供给优化模型与算法[J]. 交通运输系统工程与信息, 2022, 22(2): 268-279.
[15]	张英贵, 肖杨, 雷定猷, 陆强. 长大货物多式联运网络风险传播动力学仿真[J]. 交通运输系统工程与信息, 2022, 22(1): 14-23.

基于货物时间价值的空铁联运转运枢纽选址优化

Optimization of Air-rail Transshipment Hub Location Based on Time Value of Goods

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