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Smart port: A bibliometric review and future research directions

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  • Li, Kevin X.
  • Li, Mengchi
  • Zhu, Yuhan
  • Yuen, Kum Fai
  • Tong, Hao
  • Zhou, Haoqing

Abstract

Smart ports can be regarded as the solution that addresses the new challenges faced by international trade and logistics systems. By deeply integrating digital technologies, such as the Internet of Things, big data, cloud computing, and artificial intelligence, smart ports can greatly increase their capacity for intelligent operation and optimal allocation of resources in port operation, which will enable continuous improvement in the competitiveness of ports as they meet the various challenges ahead. In this paper a systematic bibliometric review of smart ports is conducted by analyzing the existing publications related to smart ports. The development status of studies on smart ports is discussed, and both existing problems and key research gaps in this field are identified. In addition, performance indicators and future development trends are discussed. The purpose of this work is to lay a solid academic foundation in the field of smart ports, and to propose open research directions that will stimulate interest in this area. Furthermore, through an in-depth analysis of the existing studies on smart ports, the problems existing in current smart port studies are revealed, and targeted suggestions are put forward, which will have a positive impact on smart port studies in the future.

Suggested Citation

  • Li, Kevin X. & Li, Mengchi & Zhu, Yuhan & Yuen, Kum Fai & Tong, Hao & Zhou, Haoqing, 2023. "Smart port: A bibliometric review and future research directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
    • Handle: RePEc:eee:transe:v:174:y:2023:i:c:s1366554523000868
    DOI: 10.1016/j.tre.2023.103098
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    1. Kuo, Hsin-Tsz & Choi, Tsan-Ming, 2024. "Metaverse in transportation and logistics operations: An AI-supported digital technological framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    2. Xu, Yang & Peng, Peng & Claramunt, Christophe & Lu, Feng & Yan, Ran, 2024. "Cascading failure modelling in global container shipping network using mass vessel trajectory data," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    3. Lin, Bo & Tang, Jie & Dai, Chang & Lu, Bo, 2024. "Spatial effect of digital economy on the coordinated development of Port cities," Research in Transportation Economics, Elsevier, vol. 103(C).
    4. Yang, Dong & Liao, Shiguan & Venus Lun, Y.H & Bai, Xiwen, 2023. "Towards sustainable port management: Data-driven global container ports turnover rate assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    5. Ogawa, Akinobu & Tsuchiya, Takahiro, 2024. "China’s Smart Port Initiative in the Guangdong–Hong Kong–Macao Greater Bay Area," MPRA Paper 121687, University Library of Munich, Germany.

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