INTEGRATION NEEDS AND CHALLENGES FOR GREEN AND SMART TRANSFORMATION OF PORT INDUSTRY BASED ON MULTI-SOURCE DATA

Authors

  • PENG WANG College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China Author
  • QIN ZHANG College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China Author
  • JIE DAI Institute for Advanced Studies, University of Malaya, Kuala Lumpur 50603, Malaysia Author
  • SIJA WANG School of Finance and Trade, Wenzhou Business College, Wenzhou 325000, China Author
  • HELEN HUIFEI CAI Business School, Middlesex University, London, United Kingdom Author

DOI:

https://doi.org/10.59277/RRST-EE.2024.1.13

Keywords:

Port transformation, Sustainable development, Geographical analysis, Jiangsu province

Abstract

This research explores the integration needs and challenges for achieving green and smart transformation in the port industry, leveraging multi-source data and geographic information technology. The study utilizes comprehensive data, including information from the National Enterprise Credit Information Publicity System, the National Catalogue Service for Geographic Information, and road network maps of Jiangsu Province in China. Geographical analysis methods, such as weighted kernel density estimation and standard deviation ellipse analysis, are employed to identify spatial distribution patterns and changes in the port and shipping service industry. The results indicate a spatial distribution pattern with weak expansion from the center, along the "northwest-southeast" direction. Challenges such as decentralized management and competition for interests hinder port integration for sustainable development. By understanding the spatial dynamics, policymakers can make informed decisions for a greener, smarter, and more efficient port sector.

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Published

01.04.2024

Issue

Section

Automatique et ordinateurs | Automation and Computer Sciences

How to Cite

INTEGRATION NEEDS AND CHALLENGES FOR GREEN AND SMART TRANSFORMATION OF PORT INDUSTRY BASED ON MULTI-SOURCE DATA. (2024). REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE, 69(1), 73-78. https://doi.org/10.59277/RRST-EE.2024.1.13