Two-Stage Interval Best-Worst Method for Weighting: Prioritization of Influential Factors of Airport Competitiveness

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)


There are various factors influencing airport competitiveness, but it is usually difficult for the decision-makers to clearly understand the roles of these influential factors of airport competitiveness. In order to address this, this study aims at developing a two-stage interval best-worst method for determining the relative importance based on the multiplicative constraint. A total of twenty influential factors in five dimensions including airport capacity, network connectivity, service quality, operations and management, and external environment were summarized, then, the developed weighting method was employed to prioritize these influential factors, and they were categorized into three level, namely, significantly group, moderately important group, and less important group. Some policy implications were also proposed for building competitive airports and for improving the competitiveness of airports.



This study was financially supported by The Start-up Grant of The Hong Kong Polytechnic University for New Employees (Project title: Multi-criteria Decision Making for More Sustainable Transportation, grant number: 1-ZE8W).


  1. G. Alefeld, J. Herzberger, Introduction to Interval Computation (Academic Press, 2015)Google Scholar
  2. D. An, B. Xi, J. Ren, Y. Wang, X. Jia, C. He, Z. Li, Sustainability assessment of groundwater remediation technologies based on multi-criteria decision making method. Resour. Conserv. Recy 119, 36–46 (2017)CrossRefGoogle Scholar
  3. C.P. Barros, P. Wanke, An analysis of African airlines efficiency with two-stage TOPSIS and neural networks. J. Air Transp. Manag. 44, 90–102 (2015)CrossRefGoogle Scholar
  4. G.C.L. Bezerra, C.F. Gomes, Measuring airport service quality: a multidimensional approach. J. Air Transp. Manag. 53, 85–93 (2016)CrossRefGoogle Scholar
  5. C.C. Chao, P.C. Yu, Quantitative evaluation model of air cargo competitiveness and comparative analysis of major Asia-Pacific airports. Transp. Policy 30, 318–326 (2013)CrossRefGoogle Scholar
  6. I.S. Chen, A combined MCDM model based on DEMATEL and ANP for the selection of airline service quality improvement criteria: a study based on the Taiwanese airline industry. J. Air Transp. Manag. 57, 7–18 (2016)CrossRefGoogle Scholar
  7. Y. Chen, J.L. Peng, Research on competitiveness evaluation of the airport logistics based on AHP, in 2010 2nd International Conference on Information Science and Engineering (ICISE) (IEEE, 2010), pp. 483–486Google Scholar
  8. T.W. Chung, J.K. Han, Evaluating competitiveness of transshipment Cargo in major airports in Northeast Asia: airport branding. Asian J. Shipp. Logist. 29(3), 377–394 (2013)CrossRefGoogle Scholar
  9. A.R. Correia, S.C. Wirasinghe, A.G. de Barros, A global index for level of service evaluation at airport passenger terminals. Transp. Res. E-Log 44(4), 607–620 (2008)CrossRefGoogle Scholar
  10. Q. Cui, C. Wu, H. Kuang, Influencing factors research of airports competitiveness based BP-DEMATEL model. Syst. Eng.-Theor. Pract. 33(6), 1471–1478 (2013a). (in Chinese)Google Scholar
  11. Q. Cui, H.B. Kuang, C.Y. Wu, Y. Li, Dynamic formation mechanism of airport competitiveness: the case of China. Transp. Res. Part A Policy Pract 47, 10–18 (2013b)CrossRefGoogle Scholar
  12. Q. Cui, Y.M. Wei, Y. Li, W.X. Li, Exploring the differences in the airport competitiveness formation mechanism: evidence from 45 Chinese airports during 2010–2014. Transportmetrica B 5(3), 330–346 (2017)Google Scholar
  13. Z. Dong, Y. Peng, T. Cui, An analysis of the characters of Chinese Midwest airports and the evaluation of airport’s competence. J. Beijing Inst. Technol. (Soc. Sci. Edn.) 19(3), 82–87 (2007). (in Chinese)Google Scholar
  14. C.P. Garg, A robust hybrid decision model for evaluation and selection of the strategic alliance partner in the airline industry. J. Air Transp. Manag. 52, 55–66 (2016)CrossRefGoogle Scholar
  15. C.C. Hsu, J.J. Liou, An outsourcing provider decision model for the airline industry. J. Air Transp. Manag. 28, 40–46 (2013)CrossRefGoogle Scholar
  16. X. Liang, J. Li, J. Liu, H. Qiao, H. Yin, Study on the multilayer airport system in China based on evaluation of airport competitiveness, 28(12), 116–126 (2016) (in Chinese)Google Scholar
  17. T. Lupo, Fuzzy ServPerf model combined with ELECTRE III to comparatively evaluate service quality of international airports in Sicily. J. Air Transp. Manag. 42, 249–259 (2015)CrossRefGoogle Scholar
  18. M.M. Pandey, Evaluating the service quality of airports in Thailand using fuzzy multi-criteria decision making method. J. Air Transp. Manag. 57, 241–249 (2016)CrossRefGoogle Scholar
  19. Y. Park, Application of a fuzzy linguistic approach to analyse Asian airports’ competitiveness. Transp. Plan Technol. 20(4), 291–309 (1997)CrossRefGoogle Scholar
  20. Y. Park, An analysis for the competitive strength of Asian major airports. J. Air Transp. Manag. 9(6), 353–360 (2003)CrossRefGoogle Scholar
  21. Y. Peng, Y. Li, Evaluation of Hub Airports’ competence. Technoecon. Manag. Res. 9, 11–15 (2011). (in Chinese)Google Scholar
  22. J. Rezaei, Best-worst multi-criteria decision-making method. Omega 53, 49–57 (2015)CrossRefGoogle Scholar
  23. J. Rezaei, Best-worst multi-criteria decision-making method: some properties and a linear model. Omega 64, 126–130 (2016)CrossRefGoogle Scholar
  24. T.L. Saaty, Exploring the interface between hierarchies, multiple objectives and fuzzy sets. Fuzzy Sets Syst. 1(1), 57–68 (1978)CrossRefGoogle Scholar
  25. D. Shen, C. Yu, Research on the logistics competitiveness evaluation of airport based on FCE-AHP. Mod. Manag. (Chinese) 2, 51–57 (2012)Google Scholar
  26. D. Su, Construction of the airport competitiveness evaluation index system. J. Civil Aviat. Flight Univ. China 22(1), 18–22 (2011). (in Chinese)Google Scholar
  27. D. Su, M. Wang, G. Zhou, The construction of evaluation index system and the competitiveness of airports. J. Hunan Finan. Econ. Coll. 26(123), 98–100 (2010). (in Chinese)Google Scholar
  28. Y.M. Wang, J.B. Yang, D.L. Xu, A two-stage logarithmic goal programming method for generating weights from interval comparison matrices. Fuzzy Sets Syst. 152(3), 475–498 (2005)CrossRefGoogle Scholar
  29. F. Xie, H. Xia, M. Wang, M. Wu, The evaluation model of airport competitiveness based on the perceptions and satisfactions of the consumers. Transp. Inf. Saf. 33(3), 40–46 (2015). (in Chinese)Google Scholar
  30. Z. Xu, Dependent uncertain ordered weighted aggregation operators. Inf. Fus. 9(2), 310–316 (2008)CrossRefGoogle Scholar
  31. Z. Xu, Q. Da, A possibility-based method for priorities of interval judgment matrices. Chin. J. Manage. Sci. 11(1), 63–65 (2003). (in Chinese)Google Scholar
  32. C.H. Yeh, Y.L. Kuo, Y.H. Chang, Fuzzy multiattribute evaluation of airport performance, in 2011 IEEE International Conference on Fuzzy Systems (FUZZ) (IEEE, 2011), pp. 2630–2637Google Scholar
  33. G.T. Yeo, Y. Wang, C.C. Chou, Evaluating the competitiveness of the aerotropolises in East Asia. J. Air Trans. Manag. 32, 24–31 (2013)CrossRefGoogle Scholar
  34. D. Zietsman, M. Vanderschuren, Analytic Hierarchy process assessment for potential multi-airport systems–the case of Cape Town. J. Air Transp. Manag. 36, 41–49 (2014)CrossRefGoogle Scholar
  35. W. Zhao, The competitiveness of global airports and analysis of the development of China’s hub airports. Airport Transp. Bus. 374(7), 24–31 (2016). (in Chinese)Google Scholar
  36. L.G. Zhou, H.Y. Chen, J.M. Merigó, A.M. Gil-Lafuente, Uncertain generalized aggregation operators. Expert Syst. Appl. 39(1), 1105–1117 (2012)CrossRefGoogle Scholar

Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Industrial and Systems EngineeringHong Kong Polytechnic UniversityHong Kong SARChina

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