Wang, Peng and Zhang, Qin and Dai, Jie and Wang, Sija and Cai, Helen Huifei (2024) Integration needs and challenges for green and smart transformation of port industry based on multi-source data. Revue Roumaine des Sciences Techniques Serie Electrotechnique et Energetique, 69 (1). ISSN 0035-4066, DOI https://doi.org/10.59277/RRST-EE.2024.1.13.
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Funders: | None |
| Uncontrolled Keywords: | Port transformation; Sustainable development; Geographical analysis; Jiangsu province |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Institute of Advanced Studies |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 14 Nov 2024 04:32 |
| Last Modified: | 28 Nov 2024 06:52 |
| URI: | http://eprints.um.edu.my/id/eprint/45900 |
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