A novel model for the quantitative evaluation of green port development - A case study of major ports in China

Wan, Chengpeng, Zhang, Di, Yan, Xinping and Yang, Zaili
(2018) 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, 61. pp. 431-443.

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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.

Item Type: Article
Uncontrolled Keywords: Green port development, DPSIR framework, Evidential reasoning, Maritime transport
Depositing User: Symplectic Admin
Date Deposited: 03 Dec 2019 14:20
Last Modified: 19 Jan 2023 00:17
DOI: 10.1016/j.trd.2017.06.021
Open Access URL: http://researchonline.ljmu.ac.uk/id/eprint/6877/3/...
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3064631