Science Journal of Business and Management

| Peer-Reviewed |

Improvement of Rail-sea Multimodal Transport with Dry Port Construction: Case Study of Ningbo-Zhoushan Port

Received: 05 April 2017    Accepted:     Published: 06 April 2017
Views:       Downloads:

Share This Article

Abstract

For interaction between dry port and sea port, rail-sea multimodal transport is the main transportation and organization mode. The extended construction of corridors of rail-sea multimodal transport needed to be studied further. It will help to establish unified mechanism of transportation coordination, realize compatible standard transport rules, and promote the development of enterprises of sea and dry ports. Take Ningbo-Zhoushan sea port as an example, the options of multimodal transport corridors from Ningbo-Zhoushan to southwest areas are analyzed and optimized. In this paper, a TOPSIS decision model based on entropy weight is proposed, helping to effectively select the optimal multimodal transport plan. It is concluded that the best transport plan of 20 feet container from Ningbo-Zhoushan to Chengdu and Guiyang is the direct railway transport. The best transport plan of 20 feet container from Ningbo-Zhoushan to Kunming is the goods transported by rail from Ningbo-Zhoushan to Chongqing and then road from Chongqing to Kunming. Finally, it is suggested that promote the extension and radiation of port function and invest in the construction and operation of dry port.

DOI 10.11648/j.sjbm.20170502.16
Published in Science Journal of Business and Management (Volume 5, Issue 2, April 2017)
Page(s) 78-87
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Rail-sea Multimodal Transport, Dry Port, Sea Port, TOPSIS Decision Model, Optimization

References
[1] Y Li,Q Dong,S Sun. Dry Port Development in China: Current Status and Future Strategic Directions [J]. Journal of Coastal Research, 2005, 73: 641-646.
[2] Andrius Jarzemskis,Aidas Vasilis Vasiliauskas. Research on dry port concept as intermodal node [J]. Transport, 2007, 22(3): 207-213.
[3] Di Liu, Hualong Yang. Joint slot allocation and dynamic pricing of container sea–rail multimodal transportation [J]. Journal of Traffic and Transportation Engineering, 2015, 2(3): 198-208.
[4] Vasco Reis, J. Fabian Meier, Giuseppe Pace, Roberto Palacin. Rail and multi-modal transport [J]. Research in Transportation Economics, 2013, 41(1): 17-30.
[5] Jia-bin Li, Yong-sik Oh. A Research on Competition and Cooperation Between Shanghai Port and Ningbo-Zhoushan Port [J]. The Asian Journal of Shipping and Logistics, 2010, 26(1): 67-91.
[6] A Rom Kim. A Study on Competitiveness Analysis of Ports in Korea and China by Entropy Weight TOPSIS [J]. The Asian Journal of Shipping and Logistics, 2016, 32(4): 187-194.
[7] S Awadnunez,N Gonzálezcancelas,F Solerflores,A Camareroorive. How should the sustainability of the location of dry ports be measured? A proposed methodology using Bayesian networks and multi-criteria decision analysis [J]. Transport, 2015, 30(3): 312-319.
[8] Y Xie,X Liang,L Ma,H Yan. Empty Container Management and Coordination in Intermodal Transport [J]. European Journal of Operational Research, 2017, 257(1): 223-232.
[9] Wayne K. Talley,ManWo Ng. Hinterland transport chains: Determinant effects on chain choice [J]. International Journal of Production Economics, 2017, 185: 175-179.
[10] S Zhang,Y Gao,Wei,H Jia. Study on problems of dry ports planning based on supply chain management [J]. Lecture Notes in Computer Science, 2012, 2142: 1-4.
[11] S Hanaoka,MB Regmi. Promoting intermodal freight transport through the development of dry ports in Asia: An environmental perspective [J]. Iatss Research, 2011, 35(1): 16-23.
[12] Samir Awad-Nunez, Nicoletta Gonzalez-Cancelas, Francisco Soler-Flores, Alberto Camarero-Orive. A Methodology for Measuring Sustainability of Dry Ports Location Based on Bayesian Networks and Multi-criteria Decision Analysis [J]. Transportation Research Procedia, 2016, 13: 124-133.
[13] Teodor Gabriel Crainic, Paolo Dell'Olmo, Nicoletta Ricciardi, Antonino Sgalambro. Modeling dry-port-based freight distribution planning [J]. Transportation Research Part C: Emerging Technologies, 2015, 55(6): 518-534.
[14] Xuan Qiu, Jasmine Siu Lee Lam, George Q. Huang. A bilevel storage pricing model for outbound containers in a dry port system [J]. Transportation Research Part E: Logistics and Transportation Review, 2015, 73(1): 65-83.
[15] Jian Li, Bao Jiang. Cooperation Performance Evaluation between Seaport and Dry Port; Case of Qingdao Port and Xi'an Port [J]. International Journal of e-Navigation and Maritime Economy, 2014, 1(12): 99-109.
[16] Anu Bask, Violeta Roso, Dan Andersson, Erkki Hamalainen. Development of seaport–dry port dyads: two cases from Northern Europe [J]. Journal of Transport Geography, 2014, 39(6): 85-95.
[17] Daniela Ambrosino, Anna Sciomachen. Location of Mid-range Dry Ports in Multimodal Logistic Networks [J]. Procedia - Social and Behavioral Sciences, 2014, 108(1): 118-128.
[18] Shinya Hanaoka, Madan B. Regmi. Promoting intermodal freight transport through the development of dry ports in Asia: An environmental perspective [J]. IATSS Research, 2011, 35(1): 16-23.
[19] Allan Woodburn. An analysis of rail freight operational efficiency and mode share in the British port-hinterland container market [J]. Transportation Research Part D: Transport and Environment, 2017, 51(3): 190-202.
[20] Adel Hatami-Marbini, Fatemeh Kangi. An extension of fuzzy TOPSIS for a group decision making with an application to tehran stock exchange [J]. Applied Soft Computing, 2017, 52(3): 1084-1097.
[21] Katarzyna Rudnik, Dariusz Kacprzak. Fuzzy TOPSIS method with ordered fuzzy numbers for flow control in a manufacturing system [J]. Applied Soft Computing, 2017, 52(3): 1020-1041.
[22] Sonal Sindhu, Vijay Nehra, Sunil Luthra. Investigation of feasibility study of solar farms deployment using hybrid AHP-TOPSIS analysis: Case study of India [J]. Renewable and Sustainable Energy Reviews, 2017, 73(6): 496-511.
[23] Pascal U. Onu, Xie Quan, Ling Xu, Juliet Orji, Eugene Onu. Evaluation of sustainable acid rain control options utilizing a fuzzy TOPSIS multi-criteria decision analysis model frame work [J]. Journal of Cleaner Production, 2017, 141(10): 612-625.
[24] J Monios. A functional analysis of dry port systems: the case of Spain [J]. Journal of Solid State Chemistry, 2010, 115(1): 92-97.
[25] Di Liu, Hua-long Yang. Optimal Slot Control Model of Container Sea-Rail Intermodal Transport based on Revenue Management [J]. Procedia - Social and Behavioral Sciences, 2013, 96(6): 1250-1259.
[26] Adrian E. Coronado Mondragon, Chandra S. Lalwani, Etienne S. Coronado Mondragon, Christian E. Coronado Mondragon, Kulwant S. Pawar. Intelligent transport systems in multimodal logistics: A case of role and contribution through wireless vehicular networks in a sea port location [J]. International Journal of Production Economics, 2012, 137(1): 165-175.
[27] Anastasija Bolkovska, Julija Petuhova. Simulation-based Public Transport Multi-modal Hub Analysis and Planning [J]. Procedia Computer Science, 2017, 104: 530-538.
[28] Congli Hao, Yixiang Yue. Optimization on Combination of Transport Routes and Modes on Dynamic Programming for a Container Multimodal Transport System [J]. Procedia Engineering, 2016, 137: 382-390.
[29] Ling Zhu, M. Deniz Guner-Ozbek, Hong Yan. A study of liabilities of multimodal transport operators in China [J]. Research in Transportation Economics, 2012, 35(1): 58-65.
[30] Xavier Schepler, Stefan Balev, Sophie Michel, Eric Sanlaville. Global planning in a multi-terminal and multi-modal maritime container port [J]. Transportation Research Part E: Logistics and Transportation Review, 2017, 100(4): 38-62.
[31] P. Phani Kumar, Manoranjan Parida, Mansha Swami. Performance Evaluation of Multimodal Transportation Systems [J]. Procedia - Social and Behavioral Sciences, 2013, 104(2): 795-804.
[32] Tao Zeng, Dawei Hu, Guolang Huang. The Transportation Mode Distribution of Multimodal Transportation in Automotive Logistics [J]. Procedia - Social and Behavioral Sciences, 2013, 96(6): 405-417.
[33] G Georgoulas. Metaheuristic Approaches for Scheduling the Trieste-Fernetti Pickup and Delivery Service [J]. IFAC Proceedings Volumes, 2013, 46(13): 514-519.
[34] Lopez Charles. Sea–river shipping competitiveness and its geographical market area for the Rhone–Saone corridor [J]. Journal of Transport Geography, 2008, 16(2): 100-116.
[35] A. M. Arof, R. MD Hanafiah, I. U. J. Ooi. A Delphi Study on the Potential Benefits and Obstacles of Interstate Short Sea Shipping in Archipelagic Southeast Asia [J]. International Journal of e-Navigation and Maritime Economy, 2016, 5: 97-110.
[36] Benjamin Jansen, Pieter C. J. Swinkels, Geert J. A. Teeuwen, Babette van Antwerpen de Fluiter, Hein A. Fleuren. Operational planning of a large-scale multi-modal transportation system [J]. European Journal of Operational Research, 2004, 156(1): 41-53.
[37] Stefano Carrese, Luigi Tatarelli. Optimizing the stacking of the Intermodal Transport Units in an inland terminal: an heuristic procedure [J]. Procedia - Social and Behavioral Sciences, 2011, 20: 994-1003.
[38] Gordon Wilmsmeier, Jason Monios, Jean-Paul Rodrigue. Drivers for Outside-In port hinterland integration in Latin America: The case of Veracruz, Mexico [J]. Research in Transportation Business & Management, 2015, 14(3): 34-43.
[39] Stefan Schroeder, Michael Zilske, Gernot Liedtke, Kai Nagel. Towards a Multi-Agent Logistics and Commercial Transport Model: The Transport Service Provider's View [J]. Procedia - Social and Behavioral Sciences, 2012, 39: 649-663.
[40] M. SteadieSeifi, N. P. Dellaert, W. Nuijten, T. Van Woensel, R. Raoufi. Multimodal freight transportation planning: A literature review [J]. European Journal of Operational Research, 2014, 233(1): 1-15.
Author Information
  • Institute of Logistics Science & Engineering, Shanghai Maritime University, Shanghai, China

  • College of Transport & Communications, Shanghai Maritime University, Shanghai, China

  • Institute of Logistics Science & Engineering, Shanghai Maritime University, Shanghai, China

  • College of Transport & Communications, Shanghai Maritime University, Shanghai, China

Cite This Article
  • APA Style

    Feng Sun, Xuefeng Wang, Lin Jin, Yeru Shi. (2017). Improvement of Rail-sea Multimodal Transport with Dry Port Construction: Case Study of Ningbo-Zhoushan Port. Science Journal of Business and Management, 5(2), 78-87. https://doi.org/10.11648/j.sjbm.20170502.16

    Copy | Download

    ACS Style

    Feng Sun; Xuefeng Wang; Lin Jin; Yeru Shi. Improvement of Rail-sea Multimodal Transport with Dry Port Construction: Case Study of Ningbo-Zhoushan Port. Sci. J. Bus. Manag. 2017, 5(2), 78-87. doi: 10.11648/j.sjbm.20170502.16

    Copy | Download

    AMA Style

    Feng Sun, Xuefeng Wang, Lin Jin, Yeru Shi. Improvement of Rail-sea Multimodal Transport with Dry Port Construction: Case Study of Ningbo-Zhoushan Port. Sci J Bus Manag. 2017;5(2):78-87. doi: 10.11648/j.sjbm.20170502.16

    Copy | Download

  • @article{10.11648/j.sjbm.20170502.16,
      author = {Feng Sun and Xuefeng Wang and Lin Jin and Yeru Shi},
      title = {Improvement of Rail-sea Multimodal Transport with Dry Port Construction: Case Study of Ningbo-Zhoushan Port},
      journal = {Science Journal of Business and Management},
      volume = {5},
      number = {2},
      pages = {78-87},
      doi = {10.11648/j.sjbm.20170502.16},
      url = {https://doi.org/10.11648/j.sjbm.20170502.16},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.sjbm.20170502.16},
      abstract = {For interaction between dry port and sea port, rail-sea multimodal transport is the main transportation and organization mode. The extended construction of corridors of rail-sea multimodal transport needed to be studied further. It will help to establish unified mechanism of transportation coordination, realize compatible standard transport rules, and promote the development of enterprises of sea and dry ports. Take Ningbo-Zhoushan sea port as an example, the options of multimodal transport corridors from Ningbo-Zhoushan to southwest areas are analyzed and optimized. In this paper, a TOPSIS decision model based on entropy weight is proposed, helping to effectively select the optimal multimodal transport plan. It is concluded that the best transport plan of 20 feet container from Ningbo-Zhoushan to Chengdu and Guiyang is the direct railway transport. The best transport plan of 20 feet container from Ningbo-Zhoushan to Kunming is the goods transported by rail from Ningbo-Zhoushan to Chongqing and then road from Chongqing to Kunming. Finally, it is suggested that promote the extension and radiation of port function and invest in the construction and operation of dry port.},
     year = {2017}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Improvement of Rail-sea Multimodal Transport with Dry Port Construction: Case Study of Ningbo-Zhoushan Port
    AU  - Feng Sun
    AU  - Xuefeng Wang
    AU  - Lin Jin
    AU  - Yeru Shi
    Y1  - 2017/04/06
    PY  - 2017
    N1  - https://doi.org/10.11648/j.sjbm.20170502.16
    DO  - 10.11648/j.sjbm.20170502.16
    T2  - Science Journal of Business and Management
    JF  - Science Journal of Business and Management
    JO  - Science Journal of Business and Management
    SP  - 78
    EP  - 87
    PB  - Science Publishing Group
    SN  - 2331-0634
    UR  - https://doi.org/10.11648/j.sjbm.20170502.16
    AB  - For interaction between dry port and sea port, rail-sea multimodal transport is the main transportation and organization mode. The extended construction of corridors of rail-sea multimodal transport needed to be studied further. It will help to establish unified mechanism of transportation coordination, realize compatible standard transport rules, and promote the development of enterprises of sea and dry ports. Take Ningbo-Zhoushan sea port as an example, the options of multimodal transport corridors from Ningbo-Zhoushan to southwest areas are analyzed and optimized. In this paper, a TOPSIS decision model based on entropy weight is proposed, helping to effectively select the optimal multimodal transport plan. It is concluded that the best transport plan of 20 feet container from Ningbo-Zhoushan to Chengdu and Guiyang is the direct railway transport. The best transport plan of 20 feet container from Ningbo-Zhoushan to Kunming is the goods transported by rail from Ningbo-Zhoushan to Chongqing and then road from Chongqing to Kunming. Finally, it is suggested that promote the extension and radiation of port function and invest in the construction and operation of dry port.
    VL  - 5
    IS  - 2
    ER  - 

    Copy | Download

  • Sections