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Evaluation Method for Green Ecological Airports in China Based on Combination Weighting
Author(s) -
Danwen Bao,
Xiaoling Zhang,
Jiayu Gu
Publication year - 2018
Publication title -
promet
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.315
H-Index - 19
eISSN - 1848-4069
pISSN - 0353-5320
DOI - 10.7307/ptt.v30i4.2531
Subject(s) - weighting , china , resource (disambiguation) , index (typography) , service (business) , evaluation methods , transport engineering , environmental resource management , scale (ratio) , interval (graph theory) , international airport , rank correlation , operations research , computer science , environmental economics , business , geography , environmental science , engineering , mathematics , economics , marketing , reliability engineering , medicine , computer network , cartography , archaeology , combinatorics , world wide web , radiology , machine learning
To scientifically and accurately evaluate the status of the development of green airports in China, evaluation methods of green, ecological airports are established in this paper. To address the shortcomings in subjective and objective weighting methods, we propose a combination weighting method based on Spearman’s rank correlation coefficient and evaluation grades based on interval approximation. At the same time, by taking into account resource conservation, environmental friendliness, operation efficiency, and people-oriented service, we propose an evaluation index system and an interval number for each index. Lastly, the theory is applied to five large airports in different regions of China. Analysis of the evaluation results shows that Shanghai Pudong International Airport (PVG) and Guangzhou Baiyun International Airport (CAN) have the highest scores for the resource conservation and environmental friendliness indexes, thus indicating that the development of a green ecological airport is closely related to its passenger transportation scale and economic strength. All considered airports showed the need for upgrading public  service facilities and constructing intelligent equipment. The method proposed in this paper is reasonable  and reliable; therefore, it can provide guidance for the evaluation and construction of green, ecological  airports.

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