Wan, C, Zhang, D, Yan, X and Yang, Z (2017) A novel model for the quantitative evaluation of green port development - A case study of major ports in China. Transportation Research Part D: Transport and Environment. ISSN 1361-9209
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Abstract
Environmental problems that seriously affect both natural systems and social development of human beings have drawn extensive attention from governing authorities all around the world, and become an urgent issue to be addressed. Ports play a significant role in the international shipping which inevitably influence the global environment. Thus, the concept of green port is developed to mitigate the negative impacts of inappropriate port operations on environment. This paper analyzes the current status of green port development worldwide. An evaluation model for quantitative measurement of green port development is established based on the Drivers, Pressures, States, Impacts and Responses (DPSIR) framework. The weight of each index composing the evaluation model is calculated through an analytical hierarchy process method, and the evaluation results of the investigated ports with respect to each index are aggregated using an evidential reasoning approach. The evaluation model is further demonstrated through a comparative analysis of five major ports in China. The novel model developed along with the methods applied in this paper can provide significant insights for the comparative evaluation on the development of green ports in other countries and/or regions, as well as a powerful tool to conduct self-assessment of green port development. © 2017 Elsevier Ltd.
Item Type: | Article |
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Uncontrolled Keywords: | 1205 Urban And Regional Planning, 1507 Transportation And Freight Services, 0502 Environmental Science And Management |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TD Environmental technology. Sanitary engineering |
Divisions: | Maritime & Mechanical Engineering (merged with Engineering 10 Aug 20) |
Publisher: | Elsevier |
Date Deposited: | 10 Oct 2017 11:03 |
Last Modified: | 04 Sep 2021 11:19 |
DOI or ID number: | 10.1016/j.trd.2017.06.021 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/6877 |
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