Research Article
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Year 2023, Volume: 7 Issue: 3, 438 - 447, 15.11.2023

Hüseyin Önder Aldemir Cem Ersöz

https://doi.org/10.30518/jav.1350271

Abstract

References

  • Airline News (2022). Cargo flights were stopped at Atatürk Airport. Retrieved from https://www.airlinehaber.com/ataturk-havalimaninda-kargo-ucaklari-durduruldu/
  • Akinyemi, Y.C. (2023). Air cargo demand in Africa: Application of cointegration and error correction modelling techniques. Journal of Air Transport Management, 109, 102399.
  • Allroggen, F., & Malina, R. (2014). Do the regional growth effects of air transport differ among airports? Journal of Air Transport Management, 37, 1-4.
  • Alıcı, A., & Akar, A. S. (2020). Macroeconomic determinants of air cargo demand: a panel data analysis. Transport & Logistics: The International Journal, 20(48), 11-23.
  • Anguita, J.G.M., & Olariaga, O.D. (2023). Air cargo transport demand forecasting using ConvLSTM2D, an artificial neural network architecture approach. Case Studies on Transport Policy, 12, 101009.
  • Aydın, U., & Ülengin, B. (2022). Analyzing air cargo flows of Turkish domestic routes: A comparative analysis of gravity models. Journal of Air Transport Management, 102, 102217.
  • Bagler, G. (2008). Analysis of the airport network of India as a complex weighted network. Physica A: Statistica Mechanics and its Applications, 387(12), 2972–2980.
  • Bombelli, A., Santos, B.F., & Tavasszy, L. (2020). Analysis of the air cargo transport network using a complex network theory perspective. Transportation Research Part E: Logistics and Transportation Review, 138, 101959.
  • Brett, D. (2022). Turkish Cargo moves freighter flights to Istanbul Airport. Air Cargo News. Retrieved from https://www.aircargonews.net/cargo-airport/turkish-cargo-moves-freighter-flights-to-istanbul-airport/
  • Brugnoli, A., Bianco A.D, Martini, G., & Scotti, D. (2018). The impact of air transportation on trade flows: A natural experiment on causality applied to Italy. Transportation Research Part A: Policy and Practice, 112, 95-107.
  • Chou, T., Liang, G., & Han, T. (2011). Application of fuzzy regression on air cargo volume forecast. Quality and Quantity, 45, 1539–1550.
  • Dewulf, W. (2014). The strategy of Air Cargo Operators: About Carpet Sellers and Cargo Stars. Published PhD thesis, Universiteit Antwerpen.
  • Ersoz, C., Kilic, S., & Aldemir, H.O. (2022). Analysis of Turkey’s airport network structure and centrality in the opening-out period after the first wave of COVID-19: A complex network approach. Case Studies on Transport Policy, 10(4), 2506-2518.
  • FlyKargo (2022). The last cargo flight was carried out to Ataturk Airport. Retrieved from https://www.flykargo.com.tr/Haberler/Ataturk-Havalimanina -Son-Kargo-ucusu-yapildi.html
  • Guida, M., & Maria, F. (2007). Topology of the Italian airport network: A scale-free small-world network with a fractal structure? Chaos, Solitons & Fractals, 31(3), 527-536.
  • Guillaumet, M.P. (2018). A complex network approach to the Argentinian Airport Network.
  • Guimera, R., & Amaral, L.A.N. (2004). Modeling the world-wide airport network. European Physical Journal B, 38, 381–385.
  • Hong, S., Kim, W., & Niranjan, S. (2023). Challenges to the air cargo business of combination carriers: Analysis of two major Korean Airlines. Journal of Air Transport Management, 108, 102360.
  • Hossain, M. M., & Alam S. (2017). A complex network approach towards modeling and analysis of the Australian Airport Network. Journal of Air Transport Management, 60, 1–9.
  • Hwang, C.C., & Shiao, G.C. (2011). Analyzing air cargo flows of international routes: an empirical study of Taiwan Taoyuan International Airport. Journal of Transport Geography, 19(4),738-744.
  • IGA İstanbul Airport (2023). Cargo Hub and Logistic Center. Retrieved from https://www.igairport.aero/en/our- collaborations/office-and-commercial-areas/cargo-hub-and-logistics-center/
  • Karunathilake, A.N., & Fernando, A. (2023). Identifying the key influencing factors for the growth of air cargo demand. Journal of Global Operations and Strategic Sourcing.
  • Kasarda, J.D., & Green, J.D (2005). Air cargo as an economic development engine: A note on opportunities and constraints. Journal of Air Transport Management, 11(6), 459–462.
  • Kasceev, A., Endrizalova, E., & Vittek, P. (2022). Air Cargo Demand Prediction on Selected Routes by Holt-Winter Algorithm. Proceedings of the 23 International Conference on New Trends in Civil Aviation 2022 (NTCA), Prague, Czech Republic, 2022, 87-91.
  • Lakew, P.A., & Tok, Y.C.A. (2015). Determinants of air cargo traffic in California. Transportation Research Part A: Policy and Practice, 80, 134-150.
  • Liege Airport Press Release (2014). Istanbul Sabiha Gokcen International Airport (Turkey) and Liege Airport (Belgium) sign an agreement to develop more business together. Retrieved from https://www.liegeairport.com/corporate/wp/wp-content/uploads/sites/5/2018/04/14-10-15-Friendship- Agreement-between-Liege-Airport-en-Istanbul-International-Airport.pdf
  • Liu, J., Ding, L., Guan, X., Gui, J., & Xu, J. (2020). Comparative analysis of forecasting for air cargo volume: Statistical techniques vs. machine learning. Journal of Data, Information and Management, 2, 243–255.
  • Loaiza, M. F., Solano, R. P., Simancas, R., & Ojito, V. H. (2017). Modeling demand for air cargo in the Colombian context. Proceedings of the 2017 International Conference on Advanced Materials Science and Civil Engineering (AMSCE 2017). Atlantis Press, 132–137.
  • Oesingmann, K. (2022). The determinants of air cargo flows and the role of multinational agreements: An empirical comparison with trade and air passenger flows. The World Economy, Wiley Blackwell, 45(8), 2370-2393.
  • Profillidis V.A., & Botzoris, G.N. (2019). Chapter 6 - Trend Projection and Time Series Methods. In V.A. Profillidis, G.N. Botzoris (Eds.) Modeling of Transport Demand (225-270). Elsevier.
  • Suryani, E., Chou, S.Y., & Chen, C.H. (2012). Dynamic simulation model of air cargo demand forecast and terminal capacity planning. Simulation Modelling Practice and Theory, 28, 27-41.
  • Totamane, R., Dasgupta, A., & Rao, S. (2014). Air cargo demand modeling and prediction. IEEE Systems Journal, 8(1), 52–62.
  • Trobajo, M. T., & Carriegos M. V. (2022). Spanish Airport Network Structure: Topological Characterization. Computational and Mathematical Methods, 4952613.
  • The World Bank (2022). Air Transport Freight. https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1
  • Xu, Z., Harriss, R., 2008. Exploring the structure of the U.S. intercity passenger air transportation network: a weighted complex network approach. GeoJournal, 73, 87–102.
  • Walcott, S.M., Fan, Z., 2017. Comparison of major air freight network hubs in the U.S. and China. Journal of Air Transport Management, 61, 64-72.
  • Wang, J., Mo, H., Wang F., Jin, F., 2011. Exploring the network structure and nodal centrality of China’s air transport network: A complex network approach. Journal of Transport Geography, 19(4), 712-721.
  • Wang, N., Gao, Y., He, J., Yang, J., 2022. Robustness evaluation of the air cargo network considering node importance and attack cost. Reliability Engineering & System Safety, 217.
  • Zhao, L., 2020. Research on Multi-user Air Cargo Route Selection Based on Improved Genetic Algorithm. Journal of Intelligent & Fuzzy Systems, 38(1), 39–46.
  • Zhou J., Leng, L., Shi, X., 2022. The Impact of Air Cargo on Regional Economic Development: Evidence from Chinese Cities. Sustainability, 14(16), 10336.
  • Zhou, Y., Wang, J., Huang, G.Q., 2019. Efficiency and robustness of weighted air transport networks. Transportation Research Part E: Logistics and Transportation Review, 122, 14-26.

Strategic Decisions and Policies on Türkiye-Europe Air Cargo Transport

Year 2023, Volume: 7 Issue: 3, 438 - 447, 15.11.2023

Hüseyin Önder Aldemir Cem Ersöz

https://doi.org/10.30518/jav.1350271

Abstract

This study examines the air cargo traffic in terms of transported cargo weights between Europe and Türkiye in the 10-year period between 2012 and 2021. Annual data was obtained from EUROSTAT and then this data was processed by using R language and Minitab. Freight tonne kilometers (FTKs) growth analyses for the World, Europe and Türkiye were done by fitting exponential curves to the data. Forecast for cargo traffic between Türkiye and Europe were done using exponential smoothing with trend adjustment method. The results reveal the strategic decisions for determining airport pairs in air cargo transport between Europe and Türkiye. It has been determined that there is air cargo transportation between 11 airports from Türkiye and 90 airports from 31 European countries. The most striking result of this study is that while Istanbul IGA airport serves as the main hub for air cargo transportation with other airports in Europe, Sabiha Gökçen airport has been on the way to become a secondary hub in recent years with the strategic agreements between airports. The transported air cargo weight between remaining 8 airports (since Atatürk airport closed to air cargo in 2022) in Türkiye and European airports is negligible. Determinants of choosing these airports might possibly be geographic locations, political relations with these countries, specific products of these locations, closeness to the industrial regions.

Keywords

air cargo transport aviation management strategic management airport Europe

References

  • Airline News (2022). Cargo flights were stopped at Atatürk Airport. Retrieved from https://www.airlinehaber.com/ataturk-havalimaninda-kargo-ucaklari-durduruldu/
  • Akinyemi, Y.C. (2023). Air cargo demand in Africa: Application of cointegration and error correction modelling techniques. Journal of Air Transport Management, 109, 102399.
  • Allroggen, F., & Malina, R. (2014). Do the regional growth effects of air transport differ among airports? Journal of Air Transport Management, 37, 1-4.
  • Alıcı, A., & Akar, A. S. (2020). Macroeconomic determinants of air cargo demand: a panel data analysis. Transport & Logistics: The International Journal, 20(48), 11-23.
  • Anguita, J.G.M., & Olariaga, O.D. (2023). Air cargo transport demand forecasting using ConvLSTM2D, an artificial neural network architecture approach. Case Studies on Transport Policy, 12, 101009.
  • Aydın, U., & Ülengin, B. (2022). Analyzing air cargo flows of Turkish domestic routes: A comparative analysis of gravity models. Journal of Air Transport Management, 102, 102217.
  • Bagler, G. (2008). Analysis of the airport network of India as a complex weighted network. Physica A: Statistica Mechanics and its Applications, 387(12), 2972–2980.
  • Bombelli, A., Santos, B.F., & Tavasszy, L. (2020). Analysis of the air cargo transport network using a complex network theory perspective. Transportation Research Part E: Logistics and Transportation Review, 138, 101959.
  • Brett, D. (2022). Turkish Cargo moves freighter flights to Istanbul Airport. Air Cargo News. Retrieved from https://www.aircargonews.net/cargo-airport/turkish-cargo-moves-freighter-flights-to-istanbul-airport/
  • Brugnoli, A., Bianco A.D, Martini, G., & Scotti, D. (2018). The impact of air transportation on trade flows: A natural experiment on causality applied to Italy. Transportation Research Part A: Policy and Practice, 112, 95-107.
  • Chou, T., Liang, G., & Han, T. (2011). Application of fuzzy regression on air cargo volume forecast. Quality and Quantity, 45, 1539–1550.
  • Dewulf, W. (2014). The strategy of Air Cargo Operators: About Carpet Sellers and Cargo Stars. Published PhD thesis, Universiteit Antwerpen.
  • Ersoz, C., Kilic, S., & Aldemir, H.O. (2022). Analysis of Turkey’s airport network structure and centrality in the opening-out period after the first wave of COVID-19: A complex network approach. Case Studies on Transport Policy, 10(4), 2506-2518.
  • FlyKargo (2022). The last cargo flight was carried out to Ataturk Airport. Retrieved from https://www.flykargo.com.tr/Haberler/Ataturk-Havalimanina -Son-Kargo-ucusu-yapildi.html
  • Guida, M., & Maria, F. (2007). Topology of the Italian airport network: A scale-free small-world network with a fractal structure? Chaos, Solitons & Fractals, 31(3), 527-536.
  • Guillaumet, M.P. (2018). A complex network approach to the Argentinian Airport Network.
  • Guimera, R., & Amaral, L.A.N. (2004). Modeling the world-wide airport network. European Physical Journal B, 38, 381–385.
  • Hong, S., Kim, W., & Niranjan, S. (2023). Challenges to the air cargo business of combination carriers: Analysis of two major Korean Airlines. Journal of Air Transport Management, 108, 102360.
  • Hossain, M. M., & Alam S. (2017). A complex network approach towards modeling and analysis of the Australian Airport Network. Journal of Air Transport Management, 60, 1–9.
  • Hwang, C.C., & Shiao, G.C. (2011). Analyzing air cargo flows of international routes: an empirical study of Taiwan Taoyuan International Airport. Journal of Transport Geography, 19(4),738-744.
  • IGA İstanbul Airport (2023). Cargo Hub and Logistic Center. Retrieved from https://www.igairport.aero/en/our- collaborations/office-and-commercial-areas/cargo-hub-and-logistics-center/
  • Karunathilake, A.N., & Fernando, A. (2023). Identifying the key influencing factors for the growth of air cargo demand. Journal of Global Operations and Strategic Sourcing.
  • Kasarda, J.D., & Green, J.D (2005). Air cargo as an economic development engine: A note on opportunities and constraints. Journal of Air Transport Management, 11(6), 459–462.
  • Kasceev, A., Endrizalova, E., & Vittek, P. (2022). Air Cargo Demand Prediction on Selected Routes by Holt-Winter Algorithm. Proceedings of the 23 International Conference on New Trends in Civil Aviation 2022 (NTCA), Prague, Czech Republic, 2022, 87-91.
  • Lakew, P.A., & Tok, Y.C.A. (2015). Determinants of air cargo traffic in California. Transportation Research Part A: Policy and Practice, 80, 134-150.
  • Liege Airport Press Release (2014). Istanbul Sabiha Gokcen International Airport (Turkey) and Liege Airport (Belgium) sign an agreement to develop more business together. Retrieved from https://www.liegeairport.com/corporate/wp/wp-content/uploads/sites/5/2018/04/14-10-15-Friendship- Agreement-between-Liege-Airport-en-Istanbul-International-Airport.pdf
  • Liu, J., Ding, L., Guan, X., Gui, J., & Xu, J. (2020). Comparative analysis of forecasting for air cargo volume: Statistical techniques vs. machine learning. Journal of Data, Information and Management, 2, 243–255.
  • Loaiza, M. F., Solano, R. P., Simancas, R., & Ojito, V. H. (2017). Modeling demand for air cargo in the Colombian context. Proceedings of the 2017 International Conference on Advanced Materials Science and Civil Engineering (AMSCE 2017). Atlantis Press, 132–137.
  • Oesingmann, K. (2022). The determinants of air cargo flows and the role of multinational agreements: An empirical comparison with trade and air passenger flows. The World Economy, Wiley Blackwell, 45(8), 2370-2393.
  • Profillidis V.A., & Botzoris, G.N. (2019). Chapter 6 - Trend Projection and Time Series Methods. In V.A. Profillidis, G.N. Botzoris (Eds.) Modeling of Transport Demand (225-270). Elsevier.
  • Suryani, E., Chou, S.Y., & Chen, C.H. (2012). Dynamic simulation model of air cargo demand forecast and terminal capacity planning. Simulation Modelling Practice and Theory, 28, 27-41.
  • Totamane, R., Dasgupta, A., & Rao, S. (2014). Air cargo demand modeling and prediction. IEEE Systems Journal, 8(1), 52–62.
  • Trobajo, M. T., & Carriegos M. V. (2022). Spanish Airport Network Structure: Topological Characterization. Computational and Mathematical Methods, 4952613.
  • The World Bank (2022). Air Transport Freight. https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1
  • Xu, Z., Harriss, R., 2008. Exploring the structure of the U.S. intercity passenger air transportation network: a weighted complex network approach. GeoJournal, 73, 87–102.
  • Walcott, S.M., Fan, Z., 2017. Comparison of major air freight network hubs in the U.S. and China. Journal of Air Transport Management, 61, 64-72.
  • Wang, J., Mo, H., Wang F., Jin, F., 2011. Exploring the network structure and nodal centrality of China’s air transport network: A complex network approach. Journal of Transport Geography, 19(4), 712-721.
  • Wang, N., Gao, Y., He, J., Yang, J., 2022. Robustness evaluation of the air cargo network considering node importance and attack cost. Reliability Engineering & System Safety, 217.
  • Zhao, L., 2020. Research on Multi-user Air Cargo Route Selection Based on Improved Genetic Algorithm. Journal of Intelligent & Fuzzy Systems, 38(1), 39–46.
  • Zhou J., Leng, L., Shi, X., 2022. The Impact of Air Cargo on Regional Economic Development: Evidence from Chinese Cities. Sustainability, 14(16), 10336.
  • Zhou, Y., Wang, J., Huang, G.Q., 2019. Efficiency and robustness of weighted air transport networks. Transportation Research Part E: Logistics and Transportation Review, 122, 14-26.
There are 41 citations in total.

Details

Primary Language English
Subjects Business Administration, Air Transportation and Freight Services
Journal Section Research Articles
Authors

Hüseyin Önder Aldemir 0000-0002-8083-0447

Cem Ersöz 0000-0001-8010-5205

Publication Date November 15, 2023
Submission Date August 26, 2023
Acceptance Date October 2, 2023
Published in Issue Year 2023 Volume: 7 Issue: 3

Cite

APA Aldemir, H. Ö., & Ersöz, C. (2023). Strategic Decisions and Policies on Türkiye-Europe Air Cargo Transport. Journal of Aviation, 7(3), 438-447. https://doi.org/10.30518/jav.1350271
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