Intermodal Taşımacılıkta Demiryolu Yolcu Taşımacılığının Havayolu Yolcu Taşımacılığına Etkisini Araştırılması: Samsun ve Trabzon Örneği

Year 2021, , 149 - 162, 31.10.2021

Süleyman Köse

https://doi.org/10.26650/JTL.2021.971797

Abstract

Yolcu taşıma talebi küreselleşme süreciyle birlikte hızla ivme kazanarak artmaktadır. Sürekli artış gösteren ulaştırma hizmetlerine olan talebi karşılamak için, tüm ulaştırma mod ve teknolojilerinin verimli bir şekilde birleştirildiği sürdürülebilir ulaştırma sistemlerinin geliştirilmesi ve teşvik edilmesi gerekmektedir Bu doğrultuda en hızlı taşıma modu olan havayolu taşımacılığı ile en güvenli taşıma modu olan demiryolu taşımacılığının entegrasyonu en ideal çözüm olarak karşımıza çıkmaktadır. Bu bağlamda Trabzon şehri seçilerek, bu şehirdeki havaalanı yolcu taşıma miktarının ilde demiryolu taşımacılığı mevcut olması halinde nasıl değişeceği araştırılmıştır. Çalışma kapsamında örnek olarak seçilen Samsun ili havayolu yolcu taşımacılığına, demiryolu yolcu taşımacılığının etkisini araştırmak için regresyon analizi yapılmıştır. Daha sonra Trabzon ili havayolu yolcu taşımacılığı için yapılan regresyon analizi sonuçlarına, Samsun ilinden elde edilen etki oranları dâhil edilerek, demiryolu taşımacılığı yapılması halinde Trabzon havayolu yolcu taşımacılığının nasıl değişeceği tahminlenmiştir. Yapılan analizler sonucunda Samsun havaalanı yolcu taşımacılığına demiryolu yolcu taşımacılığının etkisi 2019 yılında % 1.44 iken, bu etkinin düzenli artış göstererek 2040 yılında % 21.03’e çıkacağı belirlenmiştir. Ayrıca 2019 yılında Trabzon Havaalanında demiryolu yolcu taşımacılığı etkisi ile 65.142 yolcu artışı görüldüğü tahmin edilmiştir.

Keywords

Demiryolu Taşımacılığı, Havayolu Taşımacılığı, Hava-Demiryolu Entegrasyonu, Intermodal Taşımacılık, Yolcu Taşımacılığı

Investigation of the Effect of Rail Passenger Transport on Air Passenger Transport in Intermodal Transport: Samsun and Trabzon Example

Abstract

Passenger transport demand is increasing rapidly with the globalization process. In order to meet the continuous increasing demand for transport services, it is necessary to combine all transport modes and technologies efficiently. In this regard, the integration of air transport, which is the fastest mode of transport, and rail transport, which is the safest mode of transport, is seen as the most ideal way out. In this context, the city of Trabzon was selected and it how the amount of air passenger transport will change if there is rail transport has been investigated. Within the scope of the study, regression analysis was performed to investigate the effect of rail passenger transportation on the air passenger transportation of Samsun, which was selected as a sample. Afterwards, the impact rates obtained from Samsun were included in the regression analysis results for Trabzon air passenger transportation. As a result of the analysis, it was determined that the effect of rail passenger transportation on Samsun airport passenger transportation was 1.44% in 2019, this effect will increase regularly to 21.03% in 2040. Also, it is estimated that there will be an increase of 65,142 passengers at Trabzon Airport in 2019 with the effect of rail transportation.

Keywords

Rail Transportation, Air Transportation, Air-Rail Integration, Intermodal Transportation, Passenger Transportation

References

• Akmut, Ö., Aktaş, R., & Binay, H. S. (1999). Öngörü teknikleri ve finans uygulamaları: Ankara: Ankara Üniversitesi Siyasal Bilgiler Fakültesi. google scholar
• Albalate, D., Bel, G., & Fageda, X. (2015). Competition and cooperation between high-speed rail and air transportation services in Europe. Journal of Transport Geography, 42, 166-174. doi:https://doi. org/10.1016/j.jtrangeo.2014.07.003 google scholar
• Balabanova, A., & Keschyan, N. (2020). Quality of transport services for passenger transportation of a tourist city. Paper presented at the IOP Conference Series: Materials Science and Engineering. google scholar
• Baumol, W. J. (1975). Payment by performance in rail passenger transportation: An innovation in Amtrak’s operations. The Bell Journal of Economics, 281-298. google scholar
• Brook, R. J., & Arnold, G. C. (2018). Applied regression analysis and experimental design. CRC Press. google scholar
• Chatterjee, S., & Hadi, A. S. (2015). Regression analysis by example. John Wiley & Sons. google scholar
• Chen, Z. (2017). Impacts of high-speed rail on domestic air transportation in China. Journal of Transport Geography, 62, 184-196. doi:https://doi.org/10.1016/j.jtrangeo.2017.04.002 google scholar
• Clewlow, R. R. L. (2012). The climate impacts of high-speed rail and air transportation: a global comparative analysis. Massachusetts Institute of Technology. google scholar
• Crainic, T., & Kim, K. (2007). Intermodal Transportation, Handbooks in operations reserach and management, ed: Barnhart, C., Laporte, G: Elsevier, Amsterdam. google scholar
• Darmawan, V. E. B., & Chen, Y. W. (2020). Implementation of connection scan algorithm in tourism intermodal transportation journey planner: a case study. Jurnal Sistem dan Manajemen Industri, 4(2), 129-136. doi:10.30656/jsmi.v4i2.2772 google scholar
• de Oliveira Dias, M. (2019). Air Passenger Transportation in Brazil. GSJ, 7(10). google scholar
• Demirhan, I., Balin, A., & Okumus, A. (2021). Hava trafiğine genel bir bakış ve İstanbul havalimanı için efektif bir hava trafik kontrol stratejisi. Journal of Transportation and Logistics, 6(1), 107-124. https:// doi.org/10.26650/JTL.2021.814387 google scholar
• DHMİ. (2019). General Directorate of State Airports Authority, Activity Report. google scholar
• Due, J. F. (1997). The evolution of suburban and radial rail passenger transportation in the United States. The Quarterly Review of Economics and Finance, 37(2), 469-489. doi:https://doi.org/10.1016/S1062-9769(97)90038-7 google scholar
• Erdogan, S., Fatai Adedoyin, F., Victor Bekun, F., & Asumadu Sarkodie, S. (2020). Testing the transport-induced environmental Kuznets curve hypothesis: The role of air and railway transport. Journal of Air Transport Management, 89, 101935. doi:https://doi.org/10.1016/j.jairtraman.2020.101935 google scholar
• Etemad, M. (2018). Transportation modes classification using feature engineering. arXiv preprint arXiv:1807.10876. google scholar
• Goetz, A. R. (1992). Air Passenger Transportation and Growth in the U.S. Urban System, 1950-1987. Growth and Change, 23(2), 217-238. doi:https://doi.org/10.1111/j.1468- 2257.1992.tb00580.x google scholar
• Grimme, W. G. (2007). Air/rail passenger intermodality concepts in Germany. World Review of Intermodal Transportation Research, 1(3), 251-263. google scholar
• IATA. (2019). International Air Transport Association. Air Passenger Volumes. google scholar
• ICAO. (2019). International Civil Aviation Organization. Airports Council International. google scholar
• Jing, Z., & Yin, X. (2020). Neural network-based prediction model for passenger flow in a large passenger station: an exploratory study. IEEE Access, 8, 36876-36884. google scholar
• Kulbovskyi, I., Bakalinsky, O., Sorochynska, O., Kharuta, V., Holub, H., & Skok, P. (2019). Implemantation of Innovative Technology for Evaluating High-Speed Rail Passenger Transportation. EUREKA: Physics and Engineering; No 6 (2019). google scholar
• Lin, D.-Y., & Ku, Y.-H. (2014). Using Genetic Algorithms to Optimize Stopping Patterns for Passenger Rail Transportation. Computer-Aided Civil and Infrastructure Engineering, 29(4), 264-278. doi:https://doi. org/10.1111/mice.12020 google scholar
• Moura, F.H.S., Caetano, M. & Severino, M.R. (2020). Airport competitiveness analysis from aircraft and passenger movement. Journal of Transportation and Logistics, 5(2), 143- 157. https://doi.org/10.26650/ JTL.2020.0015 google scholar
• Oleshko, T., & Heiets, I. (2018). Perspectives of the air transportation market in Ukraine. Aviation, 22(1), 1-5. google scholar
• Özdamar, K. (2004). Paket programlar ile istatistiksel veri analizi (çok değişkenli analizler). Kaan Kitabevi, Eskişehir. google scholar
• Pagliara, F., Vassallo, J. M., & Roman, C. (2012). High-Speed Rail versus Air Transportation: Case Study of Madrid-Barcelona, Spain. Transportation Research Record, 2289(1), 10- 17. doi:10.3141/2289-02 google scholar
• Papacostas, C. S., & Prevedouros, P. D. (1993). Transportation engineering and planning. google scholar
• Roşca, M., Oprea, C., Ilie, A., Olteanu, S., & Dinu, O. (2020). Solutions for Improving Transit through Intermodal Passenger Terminals. Procedia Manufacturing, 46, 225-232. doi:https://doi.org/10.1016/j. promfg.2020.03.033 google scholar
• Small, K. A., Verhoef, E. T., & Lindsey, R. (2007). The economics of urban transportation: Routledge. google scholar
• Song, F., Hess, S., & Dekker, T. (2021). A joint model for stated choice and best-worst scaling data using latent attribute importance: application to rail-air intermodality. Transportmetrica A: Transport Science, 17(4), 411-438. google scholar
• Stecenko, I. P., & Parkhimovich, A. V. (2020). Passenger air transportation market in Europe. Hayunbiü BecmHUK MocKOBCKoro rocydapcmBennoro mexnmecKoroynuBepcumema rpa^dancKoü ar;uauuu, 23(1), 59-70. google scholar
• Steppan, D. D. (1998). Essential regression and experimental design for chemists and engineers. http://www. geocities. com/SiliconValley/Network/1900/index. html. google scholar
• Sussman, J. (2000). Introduction to transportation systems. google scholar
• Taylor, G. R. (2015). The transportation revolution, 1815-60: Routledge. google scholar
• T.C. Kalkınma Bakanlığı, (2013).Onuncu Kalkınma Planı 2014-2023, Ankara, 1-199. google scholar
• TCDD. (2018). The Republic of Turkey State Railways. Railway Sector Report. google scholar
• TCDD. (2019). The Republic of Turkey State Railways. Railway Sector Report. google scholar
• Tuzkaya, U. R. (2009). Evaluating the environmental effects of transportation modes using an integrated methodology and an application. International Journal of Environmental Science & Technology, 6(2), 277-290. doi:10.1007/BF03327632 google scholar
• Qianli, Z., Jie, O., & Rui, S. (2020, October). Study on the Optimization of Air-rail Intermodal Network Layout in The Beijing-Tianjin-Hebei Region under the Background of Xiong’an New Area. In IOP Conference Series: Earth and Environmental Science (Vol. 587, No. 1, p. 012105). IOP Publishing. google scholar
• Vrenken, H., Macharis, C., & Wolters, P. (2005). Intermodal transport in Europe: European intermodal association (EIA). google scholar
• Wang, K., Jiang, C., Ng, A. K., & Zhu, Z. (2020). Air and rail connectivity patterns of major city clusters in China. Transportation Research Part A: Policy and Practice, 139, 35-53. Transportation planning and technology, 17(1), 1-23. google scholar
• Wolle, B. (2021). Stochastic Modelling of Air Passenger Volume during the COVID-19 Pandemic and the Financial Impact on German Airports. Available at SSRN 3785562. google scholar
• Yang, H., Burghouwt, G., Wang, J., Boonekamp, T., & Dijst, M. (2018). The implications of high-speed railways on air passenger flows in China. Applied Geography, 97, 1-9. doi:https://doi.org/10.1016/j. apgeog.2018.05.006 google scholar
• Zeybek, H. (2021). Evaluation of the possible use of the Ankara-Sivas High-Speed Railway line for freight transport. Journal of Transportation and Logistics, 6(1), 17-27. https://doi.org/10.26650/JTL.2021.0017 google scholar
• Zhao, L., Zhang, X. and Zhao, F. 2021. The impact of high-speed rail on air quality in counties: Econometric study with data from southern Beijing-Tianjin-Hebei, China. Journal of Cleaner Production, 278, 123604. google scholar