Output Targeting and Runway Utilization of Major International Airports: A Comparative Analysis Using DEA
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 contin...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/4/551 |
| _version_ | 1797478348050399232 |
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| author | Chia-Nan Wang Kristofer Neal Castro Imperial Ching-Chien Huang Thanh-Tuan Dang |
| author_facet | Chia-Nan Wang Kristofer Neal Castro Imperial Ching-Chien Huang Thanh-Tuan Dang |
| author_sort | Chia-Nan Wang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T21:30:39Z |
| format | Article |
| id | doaj.art-90581c9474bd4603873b2ac07643b62b |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T21:30:39Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-90581c9474bd4603873b2ac07643b62b2023-11-23T20:56:29ZengMDPI AGMathematics2227-73902022-02-0110455110.3390/math10040551Output Targeting and Runway Utilization of Major International Airports: A Comparative Analysis Using DEAChia-Nan Wang0Kristofer Neal Castro Imperial1Ching-Chien Huang2Thanh-Tuan Dang3Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, TaiwanDepartment of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, TaiwanDepartment of Mechanical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, TaiwanDepartment of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, TaiwanThe 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.https://www.mdpi.com/2227-7390/10/4/551airport industryefficiencyperformanceCharnes, Cooper, and Rhodes (CCR)Banker, Charnes, and Cooper (BCC)Slacks-Based Measure (SBM) |
| spellingShingle | Chia-Nan Wang Kristofer Neal Castro Imperial Ching-Chien Huang Thanh-Tuan Dang Output Targeting and Runway Utilization of Major International Airports: A Comparative Analysis Using DEA Mathematics airport industry efficiency performance Charnes, Cooper, and Rhodes (CCR) Banker, Charnes, and Cooper (BCC) Slacks-Based Measure (SBM) |
| title | Output Targeting and Runway Utilization of Major International Airports: A Comparative Analysis Using DEA |
| title_full | Output Targeting and Runway Utilization of Major International Airports: A Comparative Analysis Using DEA |
| title_fullStr | Output Targeting and Runway Utilization of Major International Airports: A Comparative Analysis Using DEA |
| title_full_unstemmed | Output Targeting and Runway Utilization of Major International Airports: A Comparative Analysis Using DEA |
| title_short | Output Targeting and Runway Utilization of Major International Airports: A Comparative Analysis Using DEA |
| title_sort | output targeting and runway utilization of major international airports a comparative analysis using dea |
| topic | airport industry efficiency performance Charnes, Cooper, and Rhodes (CCR) Banker, Charnes, and Cooper (BCC) Slacks-Based Measure (SBM) |
| url | https://www.mdpi.com/2227-7390/10/4/551 |
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