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Article: Evaluation method for green ecological airports in China based on combination weighting

TitleEvaluation method for green ecological airports in China based on combination weighting
Authors
KeywordsCombination weighting
Ecological airport
Evaluation index
Issue Date2018
Citation
Promet - Traffic - Traffico, 2018, v. 30, n. 4, p. 419-428 How to Cite?
AbstractTo 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.
Persistent Identifierhttp://hdl.handle.net/10722/333342
ISSN
2023 Impact Factor: 0.8
2023 SCImago Journal Rankings: 0.296
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorBao, Danwen-
dc.contributor.authorZhang, Xiaoling-
dc.contributor.authorGu, Jiayu-
dc.date.accessioned2023-10-06T05:18:37Z-
dc.date.available2023-10-06T05:18:37Z-
dc.date.issued2018-
dc.identifier.citationPromet - Traffic - Traffico, 2018, v. 30, n. 4, p. 419-428-
dc.identifier.issn0353-5320-
dc.identifier.urihttp://hdl.handle.net/10722/333342-
dc.description.abstractTo 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.-
dc.languageeng-
dc.relation.ispartofPromet - Traffic - Traffico-
dc.subjectCombination weighting-
dc.subjectEcological airport-
dc.subjectEvaluation index-
dc.titleEvaluation method for green ecological airports in China based on combination weighting-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.7307/ptt.v30i4.2531-
dc.identifier.scopuseid_2-s2.0-85053336759-
dc.identifier.volume30-
dc.identifier.issue4-
dc.identifier.spage419-
dc.identifier.epage428-
dc.identifier.isiWOS:000448814100005-

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