Digital Twin-Enabled Collaborative Governance for Green Seaport–Dry Port Multimodal Corridors: A Maritime Silk Road Perspective

Received: 2026-05-25

Published: 2026-06-06

Abstract

The seaport-dry port multimodal logistics corridors have become significant tools for enhancing connectivity in the hinterland, improving transport efficiency, and promoting a low-carbon transition under the Maritime Silk Road. However, large gateway ports, railway terminals, inland dry ports, trucking operators, shipping companies, customs-related service providers, and logistics customers often operate through fragmented information systems and separate decision-making routines. This fragmentation weakens real-time visibility, rail-interface coordination, green performance monitoring, and risk response across the whole corridor. Taking Ningbo-Zhoushan Port and its hinterland sea-rail intermodal network as an illustrative public-data-based case, this paper develops a digital twin-enabled collaborative governance framework for green seaport-dry port multimodal logistics corridors. The study adopts a conceptual and case-informed research design by integrating literature on digital twins, smart ports, dry ports, port regionalization, carbon-aware multimodal routing, and risk-based route selection. The proposed framework consists of four layers: physical corridor layer, data and interface layer, digital twin analytics layer, and collaborative governance layer. It links operational visibility, rail-interface coordination, carbon-sensitive modal shift, one-bill/one-box service, risk early warning, and institutional coordination. The paper contributes a governance-oriented digital twin architecture and a practical indicator set for Maritime Silk Road logistics corridors.

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About the Authors

Zhendi Mu
""Silk Road" International University of Tourism and Cultural Heritage; Zhejiang Seaport Group"

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How to Cite

Digital Twin-Enabled Collaborative Governance for Green Seaport–Dry Port Multimodal Corridors: A Maritime Silk Road Perspective. (2026). MMIT Proceedings, 890-897. https://doi.org/10.61587/

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