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An Inland Port Location-Allocation Model for a Regional Intermodal Goods Movement System

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  • Mansour Rahimi

    (Daniel J. Epstein Department of Industrial and Systems Engineering, University of Southern California, 3715 McClintock Avenue, GER202-B, Los Angeles, CA 90089-0193, USA)

  • Ardavan Asef-Vaziri

    (Department of Systems and Operations Management, College of Business and Economics, California State University, Northridge, CA 91330, USA)

  • Robert Harrison

    (Center for Transportation Research, University of Texas, Austin, 3208 Red River, Suite 200, Austin, TX 78705, USA)

Abstract

This research identified and analysed a number of inland port sites in the five counties surrounding Los Angeles, using a location-allocation methodology. It also considered the inland ports' potential for integration into a more efficient regional intermodal goods movement system served by the southern California ports of Los Angeles and Long Beach. GIS was used to map the sites where international cargo is processed in the five counties of Los Angeles, Orange, Riverside, San Bernardino, and Ventura. One hundred transportation zones were determined from a truck travel survey conducted by the ports. These zones represent density points for distribution/processing centres. First, a single facility location model was used to define the proximal location of an inland port that minimises the total truck-miles travelled. Then, we extended this model to a series of location-allocation models with up to six inland port locations included. With no inland port (current system), the total daily vehicle-miles travelled (VMT) is 220,100 miles, and the average trip length is 11.6 miles. As more inland ports are added to the location-allocation model, the total truck-miles travelled is reduced significantly. The new system follows the concept of a ‘satellite inland port’, which is based on a hub-and-spoke configuration. Also, with significant reductions in VMT, a proportional amount of congestion relief and air pollution reduction is expected from this new goods movement framework. The results show that the mathematical approach is a useful platform for initial investigations into inland port site selection. Maritime Economics & Logistics (2008) 10, 362–379. doi:10.1057/mel.2008.17

Suggested Citation

  • Mansour Rahimi & Ardavan Asef-Vaziri & Robert Harrison, 2008. "An Inland Port Location-Allocation Model for a Regional Intermodal Goods Movement System," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 10(4), pages 362-379, December.
  • Handle: RePEc:pal:marecl:v:10:y:2008:i:4:p:362-379
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    Citations

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    Cited by:

    1. Ghane-Ezabadi, Mohammad & Vergara, Hector A., 2016. "Decomposition approach for integrated intermodal logistics network design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 53-69.
    2. Furkan Oztanriseven & Heather Nachtmann, 2020. "Modeling dynamic behavior of navigable inland waterways," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(2), pages 173-195, June.
    3. Adolf K. Y. Ng & Tianni Wang & Zaili Yang & Kevin X. Li & Changmin Jiang, 2018. "How is Business Adapting to Climate Change Impacts Appropriately? Insight from the Commercial Port Sector," Journal of Business Ethics, Springer, vol. 150(4), pages 1029-1047, July.
    4. Behzad Behdani & Bart Wiegmans & Violeta Roso & Hercules Haralambides, 2020. "Port-hinterland transport and logistics: emerging trends and frontier research," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(1), pages 1-25, March.
    5. Monios, Jason & Wilmsmeier, Gordon, 2013. "The role of intermodal transport in port regionalisation," Transport Policy, Elsevier, vol. 30(C), pages 161-172.
    6. Wu, Zhen & Woo, Su-Han & Lai, Po-Lin & Chen, Xiaoyi, 2022. "The economic impact of inland ports on regional development: Evidence from the Yangtze River region," Transport Policy, Elsevier, vol. 127(C), pages 80-91.
    7. Wiegmans, Bart & Witte, Patrick & Spit, Tejo, 2015. "Characteristics of European inland ports: A statistical analysis of inland waterway port development in Dutch municipalities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 566-577.
    8. Ng, AdolfK.Y. & Gujar, Girish C., 2009. "Government policies, efficiency and competitiveness: The case of dry ports in India," Transport Policy, Elsevier, vol. 16(5), pages 232-239, September.
    9. de Almeida Rodrigues, Thiago & Maria de Miranda Mota, Caroline & Manuele dos Santos, Inez, 2021. "Determining dry port criteria that support decision making," Research in Transportation Economics, Elsevier, vol. 88(C).
    10. Egor PLOTNIKOV & Aleksandr RAKHMANGULOV, 2021. "Modeling China'S Dry Port Cooperation In Supply Chains," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 16(3), pages 89-103, September.
    11. Yiran Sun & Yuqian Wang & Jingci Xie, 2022. "The co-evolution of seaports and dry ports in Shandong province in China under the Belt and Road Initiative," Journal of Shipping and Trade, Springer, vol. 7(1), pages 1-27, December.
    12. Lättilä, Lauri & Henttu, Ville & Hilmola, Olli-Pekka, 2013. "Hinterland operations of sea ports do matter: Dry port usage effects on transportation costs and CO2 emissions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 55(C), pages 23-42.
    13. Teye, Collins & Bell, Michael G.H. & Bliemer, Michiel C.J., 2017. "Entropy maximising facility location model for port city intermodal terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 1-16.
    14. James R. Kroes & Yuwen Chen & Paul Mangiameli, 2013. "Estimating Demand for Container Freight Service at the Port of Davisville," Interfaces, INFORMS, vol. 43(2), pages 170-181, April.
    15. Henttu, Ville & Hilmola, Olli-Pekka, 2011. "Financial and environmental impacts of hypothetical Finnish dry port structure," Research in Transportation Economics, Elsevier, vol. 33(1), pages 35-41.
    16. Shashidharan. M & Yogesh Mahajan & Shameem Anwar, 2022. "Enhancement of Supply Chain Management through Educating Key Processes with the Hub and Spoke Model Based on Multi-Adaptive Spider Monkey Optimization Algorithm," World Journal of English Language, Sciedu Press, vol. 12(3), pages 263-263, April.
    17. Lam, Jasmine Siu Lee & Gu, Yimiao, 2016. "A market-oriented approach for intermodal network optimisation meeting cost, time and environmental requirements," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 266-274.
    18. Snežana Tadić & Mladen Krstić & Violeta Roso & Nikolina Brnjac, 2020. "Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
    19. Daniela Ambrosino & Anna Sciomachen, 2021. "Impact of Externalities on the Design and Management of Multimodal Logistic Networks," Sustainability, MDPI, vol. 13(9), pages 1-14, April.
    20. Chen, Kang & Xu, Shihe & Haralambides, Hercules, 2020. "Determining hub port locations and feeder network designs: The case of China-West Africa trade," Transport Policy, Elsevier, vol. 86(C), pages 9-22.
    21. Chakat Chueadee & Preecha Kriengkorakot & Nuchsara Kriengkorakot, 2022. "MDEALNS for Solving the Tapioca Starch Logistics Network Problem for the Land Port of Nakhon Ratchasima Province, Thailand," Logistics, MDPI, vol. 6(4), pages 1-24, October.
    22. Su-Han Woo & Stephen Pettit & Anthony Beresford & Dong-Wook Kwak, 2012. "Seaport Research: A Decadal Analysis of Trends and Themes Since the 1980s," Transport Reviews, Taylor & Francis Journals, vol. 32(3), pages 351-377, January.
    23. Bask, Anu & Roso, Violeta & Andersson, Dan & Hämäläinen, Erkki, 2014. "Development of seaport–dry port dyads: two cases from Northern Europe," Journal of Transport Geography, Elsevier, vol. 39(C), pages 85-95.
    24. Qiu, Xuan & Lam, Jasmine Siu Lee & Huang, George Q., 2015. "A bilevel storage pricing model for outbound containers in a dry port system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 65-83.
    25. Qiu, Xuan & Lee, Chung-Yee, 2019. "Quantity discount pricing for rail transport in a dry port system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 563-580.

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