A comprehensive assessment of the importance of the "Maritime Silk Road" route based on multi-dimensional data-driven approaches
文献类型：期刊论文
| 作者 | Wang, Peng1,2; Hu, Qinyou2; Bai, Lu3; Xue, Tong4; Hu, Wenlong5; Mei, Qiang2,6 |
| 刊名 | OCEAN & COASTAL MANAGEMENT
 |
| 出版日期 | 2024-10-01 |
| 卷号 | 256页码:15 |
| 关键词 | Shipping network Route evaluation Maritime Silk Road Heterogeneous data |
| ISSN号 | 0964-5691 |
| DOI | 10.1016/j.ocecoaman.2024.107297 |
| 英文摘要 | Worldwide straits are crucial pathways for global trade and energy transportation, occupying key strategic positions. Therefore, this study utilizes automatic identification system (AIS) data and the structure of the maritime transportation network formed by ship navigation, combined with geospatial big data analysis, to fully consider factors including the natural navigational conditions of routes, the support capabilities of surrounding ports, the geographic advantages of neighboring countries, and the distribution of the shipping network importance in the CCAS evaluation model. To assess the navigability of maritime routes, a data-driven model was constructed using three layers of this model. Empirical analyses were conducted on 22 major routes along China's coast and the "Maritime Silk Road". This method has significantly enhanced the accuracy and reliability of route assessments, and the improved assessment model demonstrated better navigational conditions in the South China Sea routes, identifying internal factors hindering the development of these critical maritime routes. The findings of this study provide a comprehensive assessment and analysis framework for global maritime transportation, offering crucial reference information for key stakeholders, including policy makers, port and berth infrastructure investors, maritime economists, and large shipping companies. Additionally, the study's results can be practically applied in the actual shipping trade, emphasizing the role of our framework in facilitating effective decision-making and strategic planning within the maritime industry. |
| 资助项目 | National Natural Science Foundation of China[52372316] ; Natural Science Foundation of Fujian Province[2021J01821] ; Natural Science Foundation of Fujian Province[2023J01804] ; Shanghai Science and Technology Committee Foundation[18DZ1206300] |
| WOS研究方向 | Oceanography ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001278622900001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/39685]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Bai, Lu; Mei, Qiang |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Shanghai Maritime Univ, Merchant Marine Acad, Shanghai 200210, Peoples R China 3.Shanxi Univ, Taiyuan 030006, Peoples R China 4.Beijing Univ Technol, Faulty Informat Technol, Beijing 100124, Peoples R China 5.Univ Auckland, Sch Comp Sci, Auckland 6000, New Zealand 6.Jimei Univ, Nav Coll, Xiamen 361021, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Peng,Hu, Qinyou,Bai, Lu,et al. A comprehensive assessment of the importance of the "Maritime Silk Road" route based on multi-dimensional data-driven approaches[J]. OCEAN & COASTAL MANAGEMENT,2024,256:15. |
| APA | Wang, Peng,Hu, Qinyou,Bai, Lu,Xue, Tong,Hu, Wenlong,&Mei, Qiang.(2024).A comprehensive assessment of the importance of the "Maritime Silk Road" route based on multi-dimensional data-driven approaches.OCEAN & COASTAL MANAGEMENT,256,15. |
| MLA | Wang, Peng,et al."A comprehensive assessment of the importance of the "Maritime Silk Road" route based on multi-dimensional data-driven approaches".OCEAN & COASTAL MANAGEMENT 256(2024):15. |
入库方式： OAI收割
来源：计算技术研究所
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