Research on the Pattern and Evolution Characteristics of Global Dry Bulk Shipping Network Driven by Big Data
The dry bulk shipping network is an important carrier of global bulk commodity flow. To better understand the structural characteristics and future development trends of the global dry bulk shipping network (GDBSN), this study proposes a framework for characteristics analysis and link prediction bas...
Saved in:
Main Authors: | Haijiang Li, Xin Zhang, Peng Jia, Qianqi Ma |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Journal of Marine Science and Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-1312/13/1/147 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of the Impact of the Russia–Ukraine Conflict on Global Liquefied Natural Gas Shipping Network
by: Ranxuan Ke, et al.
Published: (2024-12-01) -
Collision Avoidance for Maritime Autonomous Surface Ships Based on Model Predictive Control Using Intention Data and Quaternion Ship Domain
by: Hanxuan Zhang, et al.
Published: (2025-01-01) -
REDUCTION OF SHIP UNDERWATER NOISE BY LIMITING SPEED: IS IT RELEVANT IN THE BALTIC SEA?
by: Donatas Bagočius, et al.
Published: (2019-12-01) -
Task-Driven Computing Offloading and Resource Allocation Scheme for Maritime Autonomous Surface Ships Under Cloud–Shore–Ship Collaboration Framework
by: Supu Xiu, et al.
Published: (2024-12-01) -
Analysis of the Characteristics of Ship Collision-Avoidance Behavior Based on Apriori and Complex Network
by: Shipeng Wang, et al.
Published: (2024-12-01)