297 223
Full Length Article
Fusion: Practice and Applications
Volume 4 , Issue 2, PP: 72-85 , 2021 | Cite this article as | XML | Html |PDF


An innovative multi-criteria decision-making framework for assessing India's airport operating efficiency

Authors Names :   Surinder Kaur   1 *     Javalkar D. Kumar   2     Gopal Chaudhary   3  

1  Affiliation :  Lingaya’s Vidyapeeth, Haryana, India and Bharati Vidyapeeth’s College of Engineering, New Delhi, India

    Email :  kaur.surinder@bharatividyapeeth.edu

2  Affiliation :  Lingaya’s Vidyapeeth, Haryana, India

    Email :  dineshjavalkar@lingayasvidyapeeth.edu.in

3  Affiliation :  Bharati Vidyapeeth’s College of Engineering, Delhi, India

    Email :  gopal.bvcoe@bharatividyapeeth.edu

Doi   :   https://doi.org/10.54216/FPA.040204

Received: March 11, 2020 Accepted: July 03, 2021

Abstract :

Global air transport operations have risen dramatically, which has led to new airport developments, requiring an in-depth effectiveness study of these investment projects, as is the case here. 6 Indian civil airports' operating efficiency between 2015 and 2018 are examined in this research. These sources were evaluated and assessed using an integrated Shannon's entropy MCDM technique. Using Shannon's entropy approach and the fuzzy WSM method, the weights of decision criteria are determined, and airports are prioritized. As a result, it is capable of dealing with the trepidation and uncertainty that accompany the subjective appraisal of input and outcome components. The findings also show that airports in touristic locations are more efficient than those in less popular places. The more convenient the airport is to the city Centre, the more passengers arrive, and the more money the airport makes. As a result, efficiency ratings are influenced by both of these elements. Airport operators and policymakers will benefit from the study's innovative efficiency analysis approach.

Keywords :

Multi-Criteria Decision-Making; Evaluation criteria; MCDM; decision making; Shannon’s Entropy; Trapezoidal fuzzy; airports; WSM

References :

[1]        A. Graham, Managing airports: An international perspective. Routledge, 2018.

[2]        M. K. Akyüz, H. Kafalı, and Ö. Altuntaş, “An analysis on energy performance indicator and GWP at Airports; a case study,” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, vol. 43, no. 19, pp. 2402–2418, 2021.

[3]        T. Ülkü, “A comparative efficiency analysis of Spanish and Turkish airports,” Journal of Air Transport Management, vol. 46, pp. 56–68, 2015.

[4]        M. E. Dursun, J. F. O’Connell, Z. Lei, and D. Warnock-Smith, “The transformation of a legacy carrier–A case study of Turkish Airlines,” Journal of air transport management, vol. 40, pp. 106–118, 2014.

[5]        H. Dinçer, Ü. Hacıoğlu, and S. Yüksel, “Balanced scorecard based performance measurement of European airlines using a hybrid multicriteria decision making approach under the fuzzy environment,” Journal of Air Transport Management, vol. 63, pp. 17–33, 2017.

[6]        S.-J. Hong and M. Jeon, “The technical efficiency of French regional airports and low-cost carrier terminals,” Sustainability, vol. 11, no. 18, p. 5107, 2019.

[7]        M. Noruzoliaee and B. Zou, “Airfield infrastructure management using network-level optimization and stochastic duration modeling,” Infrastructures, vol. 4, no. 1, p. 2, 2019.

[8]        Á. Rodríguez-Sanz, F. Gómez Comendador, R. Arnaldo Valdés, J. M. Cordero García, and M. Bagamanova, “Uncertainty management at the airport transit view,” Aerospace, vol. 5, no. 2, p. 59, 2018.

[9]        Z. Turskis, J. Antuchevičienė, V. Keršulienė, and G. Gaidukas, “Hybrid group MCDM model to select the most effective alternative of the second runway of the airport,” Symmetry, vol. 11, no. 6, p. 792, 2019.

[10]      D. Wei and C. Liu, “Fuzzy model and optimization for airport gate assignment problem,” in 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, 2009, vol. 2, pp. 828–832.

[11]      E. Zu, S.-Y. Liu, B.-M. Hsu, Y.-C. Wang, and E. M Lau, “An Analysis of the Success Factors for Passenger Boarding Enthusiasm for Low-Cost Regional Airline Routes,” Sustainability, vol. 12, no. 16, p. 6600, 2020.

[12]      C. Zuniga and G. Boosten, “a practical approach to monitor capacity under the CDM approach,” Aerospace, vol. 7, no. 7, p. 101, 2020.

[13]      D. C. Ferreira, R. C. Marques, and M. I. Pedro, “Comparing efficiency of holding business model and individual management model of airports,” Journal of Air Transport Management, vol. 57, pp. 168–183, 2016.

[14]      V. Liebert and H.-M. Niemeier, “A survey of empirical research on the productivity and efficiency measurement of airports,” Journal of Transport Economics and Policy (JTEP), vol. 47, no. 2, pp. 157–189, 2013.

[15]      D. Parker, “The performance of BAA before and after privatisation: A DEA study,” Journal of Transport Economics and policy, pp. 133–145, 1999.

[16]      E. Pels, P. Nijkamp, and P. Rietveld, “Inefficiencies and scale economies of European airport operations,” Transportation Research Part E: Logistics and Transportation Review, vol. 39, no. 5, pp. 341–361, 2003.

[17]      A. Fragoudaki and D. Giokas, “Airport efficiency in the dawn of privatization: The case of Greece,” Journal of Air Transport Management, vol. 86, p. 101821, 2020.

[18]      T. Ngo and K. W. H. Tsui, “A data-driven approach for estimating airport efficiency under endogeneity: An application to New Zealand airports,” Research in Transportation Business & Management, vol. 34, p. 100412, 2020.

[19]      V. S. Özsoy and H. H. Örkcü, “Structural and operational management of Turkish airports: a bootstrap data envelopment analysis of efficiency,” Utilities Policy, vol. 69, p. 101180, 2021.

[20]      A. E. Ripoll-Zarraga and S. Huderek-Glapska, “Airports’ managerial human capital, ownership, and efficiency,” Journal of Air Transport Management, vol. 92, p. 102035, 2021.

[21]      X. L. Fernández, J. Gundelfinger, and P. Coto-Millán, “The impact of logistics and intermodality on airport efficiency,” Transport Policy, 2021.

[22]      S. Güner, H. İ. Cebeci, J. J. M. Antunes, and P. F. Wanke, “Sustainable efficiency drivers in Eurasian airports: Fuzzy NDEA approach based on Shannon’s entropy,” Journal of Air Transport Management, vol. 92, p. 102039, 2021.

[23]      T. M. Huynh, G. Kim, and H.-K. Ha, “Comparative analysis of efficiency for major Southeast Asia airports: A two-stage approach,” Journal of Air Transport Management, vol. 89, p. 101898, 2020.

[24]      M. F. Bongo and L. A. Ocampo, “A hybrid fuzzy MCDM approach for mitigating airport congestion: A case in Ninoy Aquino International Airport,” Journal of Air Transport Management, vol. 63, pp. 1–16, 2017.

[25]      Z. Wang and W.-K. Song, “Sustainable airport development with performance evaluation forecasts: A case study of 12 Asian airports,” Journal of Air Transport Management, vol. 89, p. 101925, 2020.

[26]      R. R. Martı́n-Cejas, “An approximation to the productive efficiency of the Spanish airports network through a deterministic cost frontier,” Journal of Air Transport Management, vol. 8, no. 4, pp. 233–238, 2002.

[27]      E. Fernandes and R. R. Pacheco, “Efficient use of airport capacity,” Transportation research part A: Policy and practice, vol. 36, no. 3, pp. 225–238, 2002.

[28]      Y. Yoshida and H. Fujimoto, “Japanese-airport benchmarking with the DEA and endogenous-weight TFP methods: testing the criticism of overinvestment in Japanese regional airports,” Transportation Research Part E: Logistics and Transportation Review, vol. 40, no. 6, pp. 533–546, 2004.

[29]      T. Tsekeris, “Greek airports: Efficiency measurement and analysis of determinants,” Journal of Air Transport Management, vol. 17, no. 2, pp. 140–142, 2011.

[30]      Y.-C. Chang, M.-M. Yu, and P.-C. Chen, “Evaluating the performance of Chinese airports,” Journal of Air Transport Management, vol. 31, pp. 19–21, 2013.

[31]      L. W. Fan, F. Wu, and P. Zhou, “Efficiency measurement of Chinese airports with flight delays by directional distance function,” Journal of Air Transport Management, vol. 34, pp. 140–145, 2014.

[32]      P. Lai, A. Potter, M. Beynon, and A. Beresford, “Evaluating the efficiency performance of airports using an integrated AHP/DEA-AR technique,” Transport Policy, vol. 42, pp. 75–85, 2015.

[33]      D. Ennen and I. Batool, “Airport efficiency in Pakistan-A Data Envelopment Analysis with weight restrictions,” Journal of Air Transport Management, vol. 69, pp. 205–212, 2018.

[34]      O. D. Olariaga and L. P. Moreno, “Measurement of airport efficiency. The case of Colombia,” Transport and Telecommunication, vol. 20, no. 1, pp. 40–51, 2019.

[35]      E. Stichhauerova and N. Pelloneova, “An efficiency assessment of selected German airports using the DEA model,” Journal of Competitiveness, vol. 11, no. 1, pp. 135–151, 2019.

[36]      R. D. Banker, A. Charnes, and W. W. Cooper, “Some models for estimating technical and scale inefficiencies in data envelopment analysis,” Management science, vol. 30, no. 9, pp. 1078–1092, 1984.

[37]      D. Liu, “Measuring aeronautical service efficiency and commercial service efficiency of East Asia airport companies: An application of Network Data Envelopment Analysis,” Journal of air transport management, vol. 52, pp. 11–22, 2016.

[38]      H.-C. Lee and C.-T. Chang, “Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan,” Renewable and Sustainable Energy Reviews, vol. 92, pp. 883–896, 2018.

[39]      M. R. Milošević, D. M. Milošević, A. D. Stanojević, D. M. Stević, and D. J. Simjanović, “Fuzzy and interval AHP approaches in sustainable management for the architectural heritage in smart cities,” Mathematics, vol. 9, no. 4, p. 304, 2021.


Cite this Article as :
Surinder Kaur , Javalkar D. Kumar , Gopal Chaudhary, An innovative multi-criteria decision-making framework for assessing India's airport operating efficiency, Fusion: Practice and Applications, Vol. 4 , No. 2 , (2021) : 72-85 (Doi   :  https://doi.org/10.54216/FPA.040204)