Volume 22 Issue 2
Apr.  2022
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2022  >  22(2): 277-286
LIAN Feng, DU Yi-ying, YANG Zhong-zhen. Operation optimization of container train liner based on railway freight capacity[J]. Journal of Traffic and Transportation Engineering, 2022, 22(2): 277-286. doi: 10.19818/j.cnki.1671-1637.2022.02.022
Citation: LIAN Feng, DU Yi-ying, YANG Zhong-zhen. Operation optimization of container train liner based on railway freight capacity[J]. Journal of Traffic and Transportation Engineering, 2022, 22(2): 277-286. doi: 10.19818/j.cnki.1671-1637.2022.02.022
shu

Operation optimization of container train liner based on railway freight capacity

doi: 10.19818/j.cnki.1671-1637.2022.02.022

  • Collage of Maritime and Transportation, Ningbo University, Ningbo 315211, Zhejiang, China

Funds:

National Natural Science Foundation of China 72072097

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    Abstract
  • The OD passenger flows between railway stations were estimated by the big data mining method, and the choice preferences of railway passengers for high-speed and non-high-speed railways were analyzed by investigation, and thus the supply-demand relationship and equilibirum of passenger transportation on non-high-speed railways after the opening of high-speed railways were determined. The passenger flows of non-high-speed railways were converted into the corresponding number of passenger trains, and the carrying capacity of non-high-speed railways occupied by passenger transportation was estimated. The total carrying capacity of non-high-speed railway links was measured, the remaining freight capacity of non-high-speed railway links was calculated based on the deduction coefficient method, and the alternatives of railway container liner terminals were given based on the container's arrival volumes. The train departure frequency of the alternatives was taken as a discrete endogenous variable, the optimization model of terminal locations and the departure frequency was built based on the trunk highway network and non-high-speed railway network in the reality, and the economic and technical indexes of container railway service network were determined by solving the model. The Shanghai Port, Ningbo Port, and their hinterlands were taken as examples to carry out a numerical analysis. Calculation results show that in terms of the non-high-speed railway links within the hinterlands of the two ports, the minimum average daily carrying capacity is 79 trains while the maximum is 137 trains. Based on the remaining freight capacity of non-high-speed railway links, the calculation result shows that the minimum average daily departure frequency of container trains of liner terminals is 6 trains while the maximum is 19 trains. From the calculated flows of the non-high-speed railway links, the average daily containers transported by the railway to Shanghai Port and Ningbo Port are 13 677 and 12 094 TEUs, respectively, accounting for 25% and 33% of their total daily arrivals, respectively, which is a significant increase compared with the current 5%-7%. 9 tabs, 2 figs, 27 refs.

     

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    • References(27)
  • [1]
    BI M K, HE S W, XU W T. Express delivery with high-speed railway: definitely feasible or just a publicity stunt[J]. Transportation Research Part A: Policy and Practice, 2019, 120: 165-187. doi: 10.1016/j.tra.2018.12.011
    [2]
    ABRIL M, BARBER F, INGOLOTTI L, et al. An assessment of railway capacity[J]. Transportation Research Part E: Logistics and Transportation Review, 2008, 44(5): 774-806. doi: 10.1016/j.tre.2007.04.001
    [3]
    黄超, 王红林. 客运专线通过能力计算探讨[J]. 铁道运输与经济, 2008(5): 24-26. doi: 10.3969/j.issn.1003-1421.2008.05.009

    HUANG Chao, WANG Hong-lin. Discussion on the calculation of passing capacity of passenger dedicated lines[J]. Railway Transport and Economy, 2008, 30(5): 24-26. (in Chinese) doi: 10.3969/j.issn.1003-1421.2008.05.009
    [4]
    GIBSON S. Allocation of capacity in the rail industry[J]. Utilities Policy, 2003, 11(1): 39-42. doi: 10.1016/S0957-1787(02)00055-3
    [5]
    ORTEGA RIEJOS F A, BARRENA E, CANCA ORTIZ J D, et al. Analyzing the theoretical capacity of railway networks with a radial-backbone topology[J]. Transportation Research Part A: Policy and Practice, 2016, 84: 83-92. doi: 10.1016/j.tra.2015.03.018
    [6]
    BUTKO T, PROKHOROV V, KALASHNIKOVA T, et al. Organization of railway freight short-haul transportation on the basis of logistic approaches[J]. Procedia Computer Science, 2019, 149: 102-109. doi: 10.1016/j.procs.2019.01.113
    [7]
    PAZOUR J A, MELLER R D, POHL L M. A model to design a national high-speed rail network for freight distribution[J]. Transportation Research Part A: Policy and Practice, 2010, 44(3): 119-135. doi: 10.1016/j.tra.2009.11.006
    [8]
    贾永刚, 徐利民. 高速铁路对既有线区间通过能力的影响研究[J]. 铁道运输与经济, 2013, 35(12): 14-18. doi: 10.3969/j.issn.1003-1421.2013.12.004

    JIA Yong-gang, XU Li-min. Study on influence of high-speed railway on section carrying capacity of existing line[J]. Railway Transport and Economy, 2013, 35(12): 14-18. (in Chinese) doi: 10.3969/j.issn.1003-1421.2013.12.004
    [9]
    郭玉华. 高速铁路发展与中国铁路货运[J]. 铁道经济研究, 2010(6): 27-31. doi: 10.3969/j.issn.1004-9746.2010.06.009

    GUO Yu-hua. High-speed railway development and China's railway freight[J]. Railway Economics Research, 2010(6): 27-31. (in Chinese) doi: 10.3969/j.issn.1004-9746.2010.06.009
    [10]
    ZEYBEK H. Customer segmentation strategy for rail freight market: the case of Turkish State Railways[J]. Research in Transportation Business and Management, 2018, 28: 45-53. doi: 10.1016/j.rtbm.2018.10.003
    [11]
    JEONG S J, LEE C G, BOOKBINDER J H. The European freight railway system as a hub-and-spoke network[J]. Transportation Research Part A: Policy and Practice, 2007, 41(6): 523-536. doi: 10.1016/j.tra.2006.11.005
    [12]
    ZILIASKOPOULOS A, WARDELL W. An intermodal optimum path algorithm for multimodal networks with dynamic arc travel times and switching delays[J]. European Journal of Operational Research, 2000, 125(3): 486-502. doi: 10.1016/S0377-2217(99)00388-4
    [13]
    KIM H J, CHANG Y T, LEE P T W, et al. Optimizing the transportation of international container cargoes in Korea[J]. Maritime Policy and Management, 2008, 35(1): 103-122. doi: 10.1080/03088830701849084
    [14]
    母柏松. 单OD对间集装箱多式联运最优路径选择研究[J]. 铁道运输与经济, 2019, 41(7): 99-105. https://www.cnki.com.cn/Article/CJFDTOTAL-TDYS201907023.htm

    MU Bai-song. A research on the optimal path selection between single OD pairs for multi-modal container transportation[J]. Railway Transport and Economy, 2019, 41(7): 99-105. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TDYS201907023.htm
    [15]
    JIANG X D, FAN H M, LUO M F, et al. Strategic port competition in multimodal network development considering shippers' choice[J]. Transport Policy, 2020, 90: 68-89. doi: 10.1016/j.tranpol.2020.02.002
    [16]
    常征, 齐壮, 吕靖. 带有多重能力等级选择的内陆港选址问题研究[J]. 交通运输系统工程与信息, 2017, 17(3): 184-191. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201703028.htm

    CHANG Zheng, QI Zhuang, LYU Jing. Inland port location problem with multiple capacity level choices[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(3): 184-191. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201703028.htm
    [17]
    武兵. 铁路集装箱运输组织方式客运化的研究[J]. 铁道经济研究, 2009(5): 39-40, 43. doi: 10.3969/j.issn.1004-9746.2009.05.009

    WU Bing. Research on passenger transport mode of container service of railways[J]. Railway Economics Research, 2009(5): 39-40, 43. (in Chinese) doi: 10.3969/j.issn.1004-9746.2009.05.009
    [18]
    JANIC M. Modelling the full costs of an intermodal and road freight transport network[J]. Transportation Research Part D: Transport and Environment, 2007, 12(1): 33-44. doi: 10.1016/j.trd.2006.10.004
    [19]
    ARNONE M, MANCINI S, ROSA A. Formulating a mathematical model for container assignment optimization on an intermodal network[J]. Procedia—Social and Behavioral Sciences, 2014, 111: 1063-1072. doi: 10.1016/j.sbspro.2014.01.141
    [20]
    NOSSACK J, PESCH E. A truck scheduling problem arising in intermodal container transportation[J]. European Journal of Operational Research, 2013, 230(3): 666-680. doi: 10.1016/j.ejor.2013.04.042
    [21]
    王爽, 赵鹏. 基于Logit模型的客运专线旅客选择行为分析[J]. 铁道学报, 2009, 31(3): 6-10. doi: 10.3969/j.issn.1001-8360.2009.03.002

    WANG Shuang, ZHAO Peng. Analysis of passengers' choice behavior for dedicated passenger railway lines based on Logit model[J]. Journal of the China Railway Society, 2009, 31(3): 6-10. (in Chinese) doi: 10.3969/j.issn.1001-8360.2009.03.002
    [22]
    李海军, 朱昌锋, 冯健容. 宝兰运输通道内客流分担率及运营组织研究[J]. 兰州交通大学学报, 2015, 34(6): 60-64. doi: 10.3969/j.issn.1001-4373.2015.06.012

    LI Hai-jun, ZHU Chang-feng, FENG Jian-rong. Research ontravel mode share and operation strategy in Baoji-Lanzhou[J]. Journal of Lanzhou Jiaotong University, 2015, 34(6): 60-64. (in Chinese) doi: 10.3969/j.issn.1001-4373.2015.06.012
    [23]
    何宇强, 毛保华, 陈团生, 等. 高速客运专线客流分担率模型及其应用研究[J]. 铁道学报, 2006, 28(3): 18-21. doi: 10.3321/j.issn:1001-8360.2006.03.004

    HE Yu-qiang, MAO Bao-hua, CHEN Tuan-sheng, et al. The mode share model of the high-speed passenger railway line and its application[J]. Journal of the China Railway Society, 2006, 28(3): 18-21. (in Chinese) doi: 10.3321/j.issn:1001-8360.2006.03.004
    [24]
    翟筱松, 郭晓黎, 李红昌, 等. 基于交通运输方式选择的旅客出行时间价值研究[J]. 河北工业科技, 2020, 37(2): 83-89. https://www.cnki.com.cn/Article/CJFDTOTAL-HBGY202002004.htm

    ZHAI Xiao-song, GUO Xiao-li, LI Hong-chang, et al. Study on the value of travel time under the selection of transportation modes[J]. Hebei Journal of Industrial Science and Technology, 2020, 37(2): 83-89. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HBGY202002004.htm
    [25]
    朱家荷, 时颢. 双线铁路旅客快车扣除系数的计算方法及其取值[J]. 铁道学报, 1990, 12(2): 38-47. doi: 10.3321/j.issn:1001-8360.1990.02.006

    ZHU Jia-he, SHI Hao. Calculating method and value-setting of detection coefficient for passenger express train on double-track line[J]. Journal of the China Railway Society, 1990, 12(2): 38-47. (in Chinese) doi: 10.3321/j.issn:1001-8360.1990.02.006
    [26]
    张戎, 简文良, 诸立超. 铁路集装箱运输时间可靠性分析[J]. 铁道学报, 2015, 37(11): 10-15. doi: 10.3969/j.issn.1001-8360.2015.11.002

    ZHANG Rong, JIAN Wen-liang, ZHU Li-chao. Reliability analysis of railway container transport time[J]. Journal of the China Railway Society, 2015, 37(11): 10-15. (in Chinese) doi: 10.3969/j.issn.1001-8360.2015.11.002
    [27]
    徐猛, 屈云超, 高自友. Frank-Wolfe算法求解交通分配问题: 比较不同流量更新策略和线搜索技术[J]. 交通运输系统工程与信息, 2008, 8(3): 14-22. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT200803004.htm

    XU Meng, QU Yun-chao, GAO Zi-you. Implementing Frank-Wolfe algorithm for traffic assignment problem under different flow update strategies and line search technologies[J]. Journal of Transportation Systems Engineering and Information Technology, 2008, 8(3): 14-22. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT200803004.htm
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