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Logistics Policy Analysis and Network Model Simulation for Cross-Border Transport in the Trans-Caspian Transport Corridor: Global Intermodal Logistics Network Simulation (GLINS) Model

Author

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  • Watanabe, Daisuke

    (Asian Development Bank Institute)

  • Shibasaki, Ryuichi

    (Asian Development Bank Institute)

  • Arai, Hirofumi

    (Asian Development Bank Institute)

Abstract

The countries in Central Asia are landlocked and without coastlines. Therefore, the Trans-Caspian Transport Corridor (TCTC) will play an important role in facilitating cross-border logistics in Central Asia, particularly with land transport. To promote interregional collaborations between Central Asian countries for managing these handicaps, the Central Asia Regional Economic Cooperation Program was established through the leadership of the Asian Development Bank. We study the effectiveness of logistics policy and infrastructure development for cross-border transport along the TCTC using a simulation analysis based on a network equilibrium assignment model. The global logistics intermodal network simulation model, which we developed to cover intermodal freight transport networks (including roads, railways, ferries, and maritime shipping across the Eurasian continent) is used for policy simulation in Central Asia. In particular, the simulation incorporates the impact of the logistics policies related to cross-border transport in the TCTC, including the improvement of ferry services and rail networks along the corridor. The simulation results support the Kazakhstani approach, which emphasizes transit time reduction and transport tariffs while simultaneously enhancing cooperation within the Trans-Caspian International Transport Route Association.

Suggested Citation

  • Watanabe, Daisuke & Shibasaki, Ryuichi & Arai, Hirofumi, 2021. "Logistics Policy Analysis and Network Model Simulation for Cross-Border Transport in the Trans-Caspian Transport Corridor: Global Intermodal Logistics Network Simulation (GLINS) Model," ADBI Working Papers 1269, Asian Development Bank Institute.
  • Handle: RePEc:ris:adbiwp:1269
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    References listed on IDEAS

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    1. Ying Wang & Gi-Tae Yeo, 2018. "Intermodal route selection for cargo transportation from Korea to Central Asia by adopting Fuzzy Delphi and Fuzzy ELECTRE I methods," Maritime Policy & Management, Taylor & Francis Journals, vol. 45(1), pages 3-18, January.
    2. Ryuichi Shibasaki & Takayuki Iijima & Taiji Kawakami & Takashi Kadono & Tatsuyuki Shishido, 2017. "Network assignment model of integrating maritime and hinterland container shipping: application to Central America," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(2), pages 234-273, June.
    3. Lobyrev, Vitaly & Tikhomirov, Andrey & Tsukarev, Taras & Vinokurov, Evgeny, 2018. "Belt and Road Transport Corridors: Barriers and Investments," MPRA Paper 86705, University Library of Munich, Germany.
    4. Vinokurov, Evgeny & Lobyrev, Vitaly & Tikhomirov, Andrey & Tsukarev, Taras, 2018. "Silk Road Transport Corridors: Assessment of Trans-EAEU Freight Traffic Growth Potential," MPRA Paper 86184, University Library of Munich, Germany.
    5. H. Kato & R. Shibasaki & César Ducruet, 2020. "Global Logistics Network Modelling and Policy. Quantification and Analysis for International Freight," Post-Print hal-03246516, HAL.
    6. Cordula Rastogi & Jean-Francois Arvis, 2014. "The Eurasian Connection : Supply-Chain Efficiency along the Modern Silk Route through Central Asia," World Bank Publications - Books, The World Bank Group, number 18779, December.
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    Cited by:

    1. Kumagai, Satoru & Gokan, Toshitaka & Tsubota, Kenmei, 2021. "Corridor Developments for Transforming Central Asia," ADBI Working Papers 1270, Asian Development Bank Institute.

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    More about this item

    Keywords

    logistics; network equilibrium model; Eurasian landbridge; Central Asia;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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