Traditional and Network DEA for Judgment of Relatively Ineffective Airports Based on Meta-analysis
CSTR:
Author:
Affiliation:

Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Shanghai 201804, China

Clc Number:

U8

  • Article
  • | |
  • Metrics
  • |
  • Reference [16]
  • |
  • Related [20]
  • | | |
  • Comments
    Abstract:

    To analyze the difference between traditional and network data envelopment analysis (DEA) in judging whether the airport operation is relatively inefficient, this paper made literature selection and data extraction on DEA and airport operation efficiency by formulating literature standards. Publication bias of selected studies is conducted, and heterogeneity and overall effect of extracted data is tested based on meta-analysis. The results show that the selected research and data have statistical significance, and the ratio of the number of relatively ineffective airports to the number of relatively effective airports obtained by the traditional DEA method is 0.17 times that of the network DEA method. Using network DEA method to judge whether the airport operation is relatively inefficient is truer and more accurate than traditional DEA method.

    Reference
    [1] 朱新华.DEA方法在我国民用机场评价中的应用研究[D].天津:中国民航大学,2007.
    [2] 李琦.机场运营效率评价方法研究[D].南京:南京航空航天大学,2008.
    [3] GILLEN David, LALL Ashish. Developing measures of airport productivity and performance: an application of data envelopment analysis[J]. Transportation Research Part E: Logistics and Transportation Review, 1997, 33(4): 261.
    [4] 褚衍昌.机场运营效率评价与改善研究[D].天津:天津大学,2009.
    [5] 孙婷.基于数据包络分析的城市土地利用效率评价研究[D].成都:西南大学,2007.
    [6] FARE R, GROSSKOPF S. Network DEA[J]. Socio-Economic Planning Sciences,2000,34(1):35.
    [7] Chiang KAO , HWANG Shiuhnan. Efficiency measurement for network systems: IT impact on firm performance[J]. Decision Support Systems,2010,48(3):437.
    [8] ZUO Kairui, Guan Jiancheng. Measuring the R&D Efficiency of Regions by a Parallel DEA Game Model[J]. Scientometrics, 2017,112(2):1.
    [9] 夏琼,杨锋,梁樑,等.多阶段混联生产系统的DEA效率评价[J].系统工程理论与实践,2011,31(2):291.
    [10] DAVID Moher, ALESSANDRO Liberati, JENNIFEI Tetzlaff, et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement[J]. Physical Therapy, 2009, 89(9):873.
    [11] 徐爱庆,陈欣,朱金福.基于网络DEA改进模型的长三角机场效率研究[J].交通运输系统工程与信息,2014,14(1):88.
    [12] 徐爱庆,陈欣,朱金福.基于动态网络DEA模型的机场绩效研究[J].数学的实践与认识,2015,45(22):65.
    [13] CORRADO L S. The analysis of the cost-revenue production cycle efficiency of the Italian airports: a NSBM DEA approach[J]. Journal of Air Transport Management,2018,72:77.
    [14] 钟昊,王玲,马万经.基于荟萃分析的智能网联车技术避碰效益分析[C]//中国智能交通协会.第十四届中国智能交通年会论文集.北京:电子工业出版社,2019:584-599.
    [15] 孙长鲛,吴厦,杜瑞勇,等.氨甲环酸口服和静脉给药在全髋关节置换术中疗效对比的Meta分析[J].中国骨与关节杂志,2020,9(5):394.
    [16] 樊辉,初睿.网络DEA模型应用综述[J].价值工程,2018,37(5):77.
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

YUAN Jie, LI Yifan, ZHANG Jiake, LING Jianming. Traditional and Network DEA for Judgment of Relatively Ineffective Airports Based on Meta-analysis[J].同济大学学报(自然科学版),2021,49(9):1295~1300

Copy
Share
Article Metrics
  • Abstract:221
  • PDF: 744
  • HTML: 126
  • Cited by: 0
History
  • Received:December 15,2020
  • Online: September 27,2021
Article QR Code