IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i4p551-d746569.html
   My bibliography  Save this article

Output Targeting and Runway Utilization of Major International Airports: A Comparative Analysis Using DEA

Author

Listed:
  • Chia-Nan Wang

    (Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan)

  • Kristofer Neal Castro Imperial

    (Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan)

  • Ching-Chien Huang

    (Department of Mechanical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan)

  • Thanh-Tuan Dang

    (Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan)

Abstract

The aviation industry is a prominent contributor to economic development. The existence of an airport hub that provides a worldwide transportation network generates economic growth, creates jobs, and facilitates international trade and tourism. This industry also helps in connecting different continents, countries, and cultures. This study utilizes the Data Envelopment Analysis models Charnes, Cooper, and Rhodes (CCR), Banker, Charnes, and Cooper (BCC), Slacks-Based Measure (SBM), and Epsilon Based Measure (EBM) in analyzing and evaluating the operational performance of the 21 major airports runway design during the years of 2016–2019 using the data of the International Civil Aviation Organization (ICAO) air transport statistics. The objective of this paper is to assess the efficiency of various airport runway configurations based on input factors such as number of runways, dimension of runways, airport area, and output factors such as annual number of flights and annual number of passengers. In the four applied models, the results indicated London Heathrow Airport (LHR) and Munich International Airport (MUC) are efficient in utilizing the runway during the considered periods. Surprisingly, airports in the Asian continent with a parallel runway design are more efficient than in North America and Europe. This study can be a valuable reference for operation managers in evaluating and benchmarking the performance of an airport with different types of runway configurations. Moreover, it can be used by decision-makers, investors, stakeholders, policymakers, private companies, and government agencies as a guideline suitable for an airport.

Suggested Citation

  • Chia-Nan Wang & Kristofer Neal Castro Imperial & Ching-Chien Huang & Thanh-Tuan Dang, 2022. "Output Targeting and Runway Utilization of Major International Airports: A Comparative Analysis Using DEA," Mathematics, MDPI, vol. 10(4), pages 1-23, February.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:4:p:551-:d:746569
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/4/551/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/4/551/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wu, Peng & Wang, Yiqing & Chiu, Yung-ho & Li, Ying & Lin, Tai-Yu, 2019. "Production efficiency and geographical location of Chinese coal enterprises - undesirable EBM DEA," Resources Policy, Elsevier, vol. 64(C).
    2. Burak Keskin & Can Deniz Köksal, 2019. "A hybrid AHP/DEA-AR model for measuring and comparing the efficiency of airports," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 68(3), pages 524-541, January.
    3. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Chia-Nan Wang & Hector Tibo & Hong Anh Nguyen, 2020. "Malmquist Productivity Analysis of Top Global Automobile Manufacturers," Mathematics, MDPI, vol. 8(4), pages 1-21, April.
    6. Oum, Tae Hoon & Yu, Chunyan & Fu, Xiaowen, 2003. "A comparative analysis of productivity performance of the world's major airports: summary report of the ATRS global airport benchmarking research report—2002," Journal of Air Transport Management, Elsevier, vol. 9(5), pages 285-297.
    7. Huynh, Triet Minh & Kim, Gyuseung & Ha, Hun-Koo, 2020. "Comparative analysis of efficiency for major Southeast Asia airports: A two-stage approach," Journal of Air Transport Management, Elsevier, vol. 89(C).
    8. Örkcü, H. Hasan & Balıkçı, Cemal & Dogan, Mustafa Isa & Genç, Aşır, 2016. "An evaluation of the operational efficiency of turkish airports using data envelopment analysis and the Malmquist productivity index: 2009–2014 case," Transport Policy, Elsevier, vol. 48(C), pages 92-104.
    9. Varabyova, Yauheniya & Schreyögg, Jonas, 2013. "International comparisons of the technical efficiency of the hospital sector: Panel data analysis of OECD countries using parametric and non-parametric approaches," Health Policy, Elsevier, vol. 112(1), pages 70-79.
    10. Rico Merkert & James Odeck & Svein Brathen & Romano Pagliari, 2012. "A Review of Different Benchmarking Methods in the Context of Regional Airports," Transport Reviews, Taylor & Francis Journals, vol. 32(3), pages 379-395, January.
    11. Mingli Song & Guangshe Jia & Puwei Zhang, 2020. "An Evaluation of Air Transport Sector Operational Efficiency in China based on a Three-Stage DEA Analysis," Sustainability, MDPI, vol. 12(10), pages 1-16, May.
    12. Tsui, Wai Hong Kan & Gilbey, Andrew & Balli, Hatice Ozer, 2014. "Estimating airport efficiency of New Zealand airports," Journal of Air Transport Management, Elsevier, vol. 35(C), pages 78-86.
    13. Dimitris Bertsimas & Michael Frankovich & Amedeo Odoni, 2011. "Optimal Selection of Airport Runway Configurations," Operations Research, INFORMS, vol. 59(6), pages 1407-1419, December.
    14. Pestana Barros, Carlos & Dieke, Peter U.C., 2007. "Performance evaluation of Italian airports: A data envelopment analysis," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 184-191.
    15. Bazargan, Massoud & Vasigh, Bijan, 2003. "Size versus efficiency: a case study of US commercial airports," Journal of Air Transport Management, Elsevier, vol. 9(3), pages 187-193.
    16. Kaoru Tone & Miki Tsutsui, 2010. "An epsilon-based measure of efficiency in DEA revisited -A third pole of technical efficiency," GRIPS Discussion Papers 09-21, National Graduate Institute for Policy Studies.
    17. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    18. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    19. Pacagnella, Antônio Carlos & Hollaender, Paulo Sodre & Mazzanati, Giovanni Vitale & Bortoletto, Wagner Wilson, 2021. "Efficiency drivers of international airports: A worldwide benchmarking study," Journal of Air Transport Management, Elsevier, vol. 90(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Monica Aureliana Petcu & Liliana Ionescu-Feleaga & Bogdan-Ștefan Ionescu & Dumitru-Florin Moise, 2023. "A Decade for the Mathematics : Bibliometric Analysis of Mathematical Modeling in Economics, Ecology, and Environment," Mathematics, MDPI, vol. 11(2), pages 1-30, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mahmoudi, Reza & Emrouznejad, Ali & Shetab-Boushehri, Seyyed-Nader & Hejazi, Seyed Reza, 2020. "The origins, development and future directions of data envelopment analysis approach in transportation systems," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    2. Ahn, Young-Hyo & Min, Hokey, 2014. "Evaluating the multi-period operating efficiency of international airports using data envelopment analysis and the Malmquist productivity index," Journal of Air Transport Management, Elsevier, vol. 39(C), pages 12-22.
    3. Fragoudaki, Alexandra & Giokas, Dimitrios, 2020. "Airport efficiency in the dawn of privatization: The case of Greece," Journal of Air Transport Management, Elsevier, vol. 86(C).
    4. Fernández, Xose Luis & Gundelfinger, Javier & Coto-Millán, Pablo, 2022. "The impact of logistics and intermodality on airport efficiency," Transport Policy, Elsevier, vol. 124(C), pages 233-239.
    5. Thomas, Nivea & Jha, Kumar Neeraj, 2022. "Structural efficiency assessment of regional airports: Lessons from India," Utilities Policy, Elsevier, vol. 79(C).
    6. Chaouk, Mohammed & Pagliari, Dr Romano & Moxon, Richard, 2020. "The impact of national macro-environment exogenous variables on airport efficiency," Journal of Air Transport Management, Elsevier, vol. 82(C).
    7. Zhao, Pengjun & Zeng, Liangen & Li, Peilin & Lu, Haiyan & Hu, Haoyu & Li, Chengming & Zheng, Mengyuan & Li, Haitao & Yu, Zhao & Yuan, Dandan & Xie, Jinxin & Huang, Qi & Qi, Yuting, 2022. "China's transportation sector carbon dioxide emissions efficiency and its influencing factors based on the EBM DEA model with undesirable outputs and spatial Durbin model," Energy, Elsevier, vol. 238(PC).
    8. Ze Tian & Fang-Rong Ren & Qin-Wen Xiao & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Cross-Regional Comparative Study on Carbon Emission Efficiency of China’s Yangtze River Economic Belt Based on the Meta-Frontier," IJERPH, MDPI, vol. 16(4), pages 1-19, February.
    9. Zhou, Anhua & Li, Jun, 2021. "Investigate the impact of market reforms on the improvement of manufacturing energy efficiency under China’s provincial-level data," Energy, Elsevier, vol. 228(C).
    10. Huynh, Triet Minh & Kim, Gyuseung & Ha, Hun-Koo, 2020. "Comparative analysis of efficiency for major Southeast Asia airports: A two-stage approach," Journal of Air Transport Management, Elsevier, vol. 89(C).
    11. Kan Tsui, Wai Hong & Balli, Hatice Ozer & Gilbey, Andrew & Gow, Hamish, 2014. "Operational efficiency of Asia–Pacific airports," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 16-24.
    12. Cifuentes-Faura, Javier & Faura-Martínez, Ursula, 2023. "Measuring Spanish airport performance: A bootstrap data envelopment analysis of efficiency," Utilities Policy, Elsevier, vol. 80(C).
    13. An, Qingxian & Tao, Xiangyang & Xiong, Beibei & Chen, Xiaohong, 2022. "Frontier-based incentive mechanisms for allocating common revenues or fixed costs," European Journal of Operational Research, Elsevier, vol. 302(1), pages 294-308.
    14. Ren, Fang-rong & Tian, Ze & Liu, Jingjing & Shen, Yu-ting, 2020. "Analysis of CO2 emission reduction contribution and efficiency of China’s solar photovoltaic industry: Based on Input-output perspective," Energy, Elsevier, vol. 199(C).
    15. Örkcü, H. Hasan & Balıkçı, Cemal & Dogan, Mustafa Isa & Genç, Aşır, 2016. "An evaluation of the operational efficiency of turkish airports using data envelopment analysis and the Malmquist productivity index: 2009–2014 case," Transport Policy, Elsevier, vol. 48(C), pages 92-104.
    16. Liangen Zeng, 2021. "China’s Eco-Efficiency: Regional Differences and Influencing Factors Based on a Spatial Panel Data Approach," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    17. Zhou, Anhua & Xin, Ling & Li, Jun, 2022. "Assessing the impact of the carbon market on the improvement of China's energy and carbon emission performance," Energy, Elsevier, vol. 258(C).
    18. June Raymond Leonen Mariano & Mingyu Liao & Herchang Ay, 2021. "Performance Evaluation of Solar PV Power Plants in Taiwan Using Data Envelopment Analysis," Energies, MDPI, vol. 14(15), pages 1-14, July.
    19. Güner, Samet & İbrahim Cebeci, Halil, 2021. "Multi-period efficiency analysis of major European and Asian airports under fixed proportion technologies," Transport Policy, Elsevier, vol. 107(C), pages 24-42.
    20. Weekx, Simon & Buyle, Sven, 2023. "The effect of airline dominance on airport performance: Empirical evidence from medium-sized European airports," Journal of Air Transport Management, Elsevier, vol. 107(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:10:y:2022:i:4:p:551-:d:746569. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.