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Strategic investment in enhancing port–hinterland container transportation network resilience: A network game theory approach

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  • Chen, Hong
  • Lam, Jasmine Siu Lee
  • Liu, Nan

Abstract

China's “Belt and Road” strategy emphasizes the significance of maritime logistics. To ensure the efficiency and safety of landside maritime logistics, this study aims to investigate the strategic investment of players in a port–hinterland container transportation network to enhance network resilience to man-made unconventional emergency events by reducing vulnerability. Given the complexity of the involvement of multiple players and their interacting complementary and competitive business relationships, network game theory is adopted. Results show that the complementary influence Bonacich centrality of players plays a critical role in determining their investment decisions and serves as basis from which useful managerial insights can be derived.

Suggested Citation

  • Chen, Hong & Lam, Jasmine Siu Lee & Liu, Nan, 2018. "Strategic investment in enhancing port–hinterland container transportation network resilience: A network game theory approach," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 83-112.
  • Handle: RePEc:eee:transb:v:111:y:2018:i:c:p:83-112
    DOI: 10.1016/j.trb.2018.03.004
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    2. Kundu, Tanmoy & Sheu, Jiuh-Biing, 2019. "Analyzing the effect of government subsidy on shippers’ mode switching behavior in the Belt and Road strategic context," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 175-202.
    3. Gu, Bingmei & Liu, Jiaguo & Ye, Xiaoheng & Gong, Yu & Chen, Jihong, 2024. "Data-driven approach for port resilience evaluation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    4. Van Nguyen, Truong & Zhang, Jie & Zhou, Li & Meng, Meng & He, Yong, 2020. "A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    5. Mohammad Tamannaei & Hamid Zarei & Sajede Aminzadegan, 2021. "A Game-Theoretic Approach to the Freight Transportation Pricing Problem in the Presence of Intermodal Service Providers in a Competitive Market," Networks and Spatial Economics, Springer, vol. 21(1), pages 123-173, March.
    6. Papakonstantinou, Ilia & Lee, Jinwoo & Madanat, Samer Michel, 2019. "Game theoretic approaches for highway infrastructure protection against sea level rise: Co-opetition among multiple players," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 21-37.
    7. Song Gao & Nan Liu, 2021. "Improving the Resilience of Port–Hinterland Container Logistics Transportation Systems: A Bi-Level Programming Approach," Sustainability, MDPI, vol. 14(1), pages 1-33, December.
    8. Tianni Wang & Mark Ching-Pong Poo & Adolf K. Y. Ng & Zaili Yang, 2023. "Adapting to the Impacts Posed by Climate Change: Applying the Climate Change Risk Indicator (CCRI) Framework in a Multi-Modal Transport System," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    9. Talley, Wayne K. & Ng, ManWo, 2020. "Note: Determinants of cargo port, hinterland cargo transport and port hinterland cargo transport service chain choices by service providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).

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