EFFICIENCY ANALYSIS OF AIRPORTS IN TURKEY CONSIDERING ENVIRONMENTAL EFFECTS
DOI:
https://doi.org/10.29015/cerem.583Słowa kluczowe:
airport efficiency, data envelopment analysis, undesired outputs, environmental factors, noise level, handicap friendly airport, green airportAbstrakt
Aim: This paper aims to attract attention to the “green airport” term that is basically related with environmental legislations.
Design / Research methods: A Data Envelopment Analysis (DEA) model is introduced to assess the efficiency of 22 airports in Turkey with the definition of undesirable output as emission values.
Conclusions / findings: Results illustrate that only two airports are efficient based on the considered outputs and undesirable output.
Originality / value of the article: Up-to-best knowledge, green gas emission data of airports in Turkey are considered in a DEA model for the first time. To minimize the undesirable output, it is considered as a desirable input in the model. Results are expected to support official authorities during decision making.
Limitations of the study: Data for noise levels and the exposed area and/or number of exposed people and buildings were not available for the airports in concern.Bibliografia
Single European Sky ATM Research (SESAR) (2017), www.sesarju.eu (accessed Septembler 2017).
Air Transport Acion Group (ATAG) (2017), www.atag.org (accessed September 2017).
Banker R.D. (1992), Estimation of Returns to Scale Using Data Envelopment Analysis, European Journal of Operations Research, 62, 74-84.
Banker RD, Charnes A, Cooper WW, Swarts J, Thomas D. (1989), An introduction to data envelopment analysis with some of its models and their uses. Res Gov Nonprofit Account, 5:125-163.
Cavaignac L., Petiot R. (2017), A quarter century of Data Envelopment Analysis applied to the transport sector: A bibliometric analysis, Socio-Economic Planning Sciences, 57, 84-96.
Charnes, A., Cooper, W.W., Rhodes, E. (1978), Measuring the efficiency of decision making units, European Journal of Operational Research 2, 429–444.
Cooper W.W., Seiford M.L., Tone K. (2000), Data Envelopment Analysis, 318p., Kluwer Academic Publishers.
Emrouznejad A., Yang G. (2017), A survey and analysis of the first 40 years of scholarly literature in DEA: 1978-2016, Socio-Economic Planning Sciences, in press, 1-5.
Fernandes E., Pacheco R.R. (2002), Efficient use of airport capacity,Transportation Research Part A: Policy and Practice, 36, 3, 225-238.
Forsyth P. (2007), Models of Airport Performance, in David A. Hensher, Kenneth J. Button (ed.) Handbook of Transport Modelling (Handbooks in Transport, Volume 1), 715-727.
Fujiwara D., Lawton R.N., MacKerron G. (2017), Experience sampling in and around airports. Momentary subjective wellbeing, airports, and aviation noise in England, Transportation Research Part D, 56, 43–54.
Gasco L., Asensio C., de Arcas G. (2017), Communicating airport noise emission data to the general public, Science of the Total Environment, 586, 836–848.
Gillen D., Lall A. (1997), Developing measures of airport productivity and performance: an application of data envelopment analysis, Transportation Research Part E: Logistics and Transportation Review, 33, 4, 261-273.
Golany B., Roll Y. (1989), An application procedure for DEA. Omega;17(3): 237-250.
Grampella M., Martini G., Scotti D., Tassan F., Zambon G. (2017), Determinants of airports’ environmental effects, Transportation Research Part D, 50, 327–344.
Hamamci S.F., Dogru A.O., Sari D., Ozkurt N., Seker D.Z. (2017), Determining characteristics of lands affected by noise pollution of airports, Fresenius Environmental Bulletin, 26, 1, 69-74.
Holvad T., Graham A. (2004), Efficiency Measurement for UK Airports: An Application of Data Envelopment Analysis, The Empirical Economics Letter, 3, 1.
Lawton R.N., Fujiwara D. (2016), Living with aircraft noise: Airport proximity, aviation noise and subjective wellbeing in England, Transportation Research Part D, 42, 104–118.
Mahashabde A., Wolfe P., Ashok A., Dorbian C., He Q., Fan A., Lukachko S., Mozdzanowska A., Wollersheim C., Barrett S.R.H., Locke M., Waitz I.A. (2011), Assessing the environmental impacts of aircraft noise and emissions, Progress in Aerospace Sciences, 47, 15-52.
Martín C.J., Román C., 2001, An application of DEA to measure the efficiency of Spanish airports prior to privatization, Journal of Air Transport Management, 7, 3, 149-157.
Oum T.H., Yu C., Fu X. (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, 9, 5, 285-297.
Ozkurt N. (2014), Current assessment and future projections of noise pollution at Ankara Esenboga Airport, Turkey, Transportation Research Part D, 32, 120-128.
Ozkurt N., Hamamci S.F., Sari D. (2015), Estimation of airport noise impacts on public health. A case study of Izmir Adnan Menderes Airport, Transportation Research Part D, 36, 152-159.
Ozkurt N., Sari D. , Akdag A., Kutukoglu M., Gurarslan A. (2014), Modeling of noise pollution and estimated human exposure around İstanbul Atatürk Airport in Turkey, Science of the Total Environment, 482,483, 486-492.
Pacheco R. R, Fernandes E. (2003), Managerial efficiency of Brazilian airports, Transportation Research Part A: Policy and Practice, 37, 8, 667-680.
Pels E., Nijkamp P., Rietveld P. (2003), Inefficiencies and scale economies of European airport operations, Transportation Research Part E: Logistics and Transportation Review, 39, 5, 341-361.
Püschel R., Evangelinos C. (2012), Evaluating noise annoyance cost recovery at Düsseldorf International Airport, Transportation Research Part D, 17, 598-604.
Republic of Turkey General Directorate of State Airports Authority (Devlet Hava Meydanları İşletmesi, DHMI) http://www.dhmi.gov.tr (accessed: October 2017).
Rodríguez-Díaz A., Adenso-Díaz B., González-Torre P.L. (2017), A review of the impact of noise restrictions at airports, Transportation Research Part D, 50, 144-153.
Sari D., Hamamci S.F., Akdag A., Kutukoglu M., Ozkurt N. (2013), Havalimanlarında gürültü haritalama çalışmaları, Türkiye’den örnekler, 10. Ulusal Akustik Kongresi Yıldız Teknik Üniversitesi Oditoryumu, İstanbul, 16-17 Aralık 2013.
Sarkis J., Talluri S. (2004), Performance based clustering for benchmarking of US airports, Transportation Research Part A: Policy and Practice, 38, 5,329-346.
Sarkis J. (2000), An analysis of the operational efficiency of major airports in the United States Journal of Operations Management, 18, 3, 335-351.
Seiford L.M. (1997), A bibliography for data envelopment analysis (1978-1996), Annals of Operations Research, 73, 393-438.
Ulutas B.B. (2008), Türkiye’deki Havalimanı Etkinliklerinin Veri Zarflama Analizi ile Değerlendirilmesi, Yüksek lisans Tezi, ESOGÜ Fen Bilimleri Enstitüsü, Endüstri Müh. Anabilim Dalı.
Ulutas, B.B., Ulutas, B. (2009), An analytic network process combined data envelopment analysis methodology to evaluate the performance of airports in Turkey.in: 10th International Symposium on the Analytic Hierarchy/Network Process, July 29-August 1. University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Wang T.R., Ho T.C., Feng M.C., Yang K.Y. (2004), A comparative analysis of the operational performance of Taiwan's major airports, Journal of Air Transport Management, 10, 5, 353-360.
Wolfe P.J., Yim S.H.L., Lee G., Ashok A., Barrett S.R.H., Waitz I.A. (2014), Near-airport distribution of the environmental costs of aviation, Transport Policy, 34, 102-108.
Yoshida Y., Fujimoto H. (2004), 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, 40, 6, 533-546.
Yu M.M. (2004), Measuring physical efficiency of domestic airports in Taiwan with undesirable outputs and environmental factors, Journal of Air Transport Management, 10, 5, 295-303.
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Autor przenosi nieodpłatnie na Wyższą Szkołę Bankową we Wrocławiu , bez ograniczeń terytorialnych, majątkowe prawa autorskie do tego utworu w rozumieniu ustawy z dnia 4 lutego 1994 roku o prawie autorskim i prawach pokrewnych ( Dz.U. 1994, Nr 24, poz. 83 ze zm. )na zasadzie wyłączności, tj. prawo do:
a) wyłącznego używania i wykorzystania utworu w dowolnej działalności przez Wyższą Szkołę Bankową we Wrocławiu, w szczególności w działalność Biblioteki Cyfrowej uruchomionej przez Wyższą Szkołę Bankową we Wrocławiu
b) wytwarzania, utrwalania i zwielokrotniania egzemplarzy utworów wszelkimi technikami, w tym techniką drukarską, reprograficzną, zapisu magnetycznego oraz techniką cyfrową, w szczególności ich zwielokrotniania poprzez dokonywanie zapisów na płytach typu CD,
c) zamieszczenia wybranych fragmentów utworu w celach promocyjnych w publikacjach, materiałach promocyjnych, w sieci Internet oraz sieciach wewnętrznych typu Intranet Wyższej Szkoły Bankowej we Wrocławiu,
d) wprowadzania utworu do pamięci komputera Wyższej Szkoły Bankowej we Wrocławiu,
e) kopiowania i powielania utworu w technologiach fotomechanicznych lub innych znanych w dniu zawarcia umowy (fotokopie, kserokopie itp.),
f) przetworzenia dzieła na formę elektroniczną i nieograniczonego rozpowszechniania w sieci Internet.