Araştırma Makalesi


DOI :10.26650/JTL.2022.1109878   IUP :10.26650/JTL.2022.1109878    Tam Metin (PDF)

Exploring the Sources of Centrality in the Turkish Domestic Airport Network

Keziban Seçkin CodalSamet Güner

Air passenger transportation in Turkey has been in rapid development since the mid-1980s due to the increasing investments in infrastructure and deregulating policies. This paper analyzed the network performances of Turkish airports and assessed the evolution from 2012 to 2020, from both topological and spatial perspectives. Unweighted and weighted graphs based on flight frequencies were used to determine airport centrality. Sabiha Gökçen (SAW) was defined as the most central airport in the domestic network and airport centrality showed significant improvement during the observation period. The weighted graph recorded significant losses in the centrality performances of airports, excluding eigenvector, during the pandemic process. Exogenous sources of airport centrality were also examined using Gradient Boosting Modeling. Results demonstrated the importance of the population and economic strength of the city in airport centrality, the decisive role of tourism demand and international flights on betweenness centrality, and the necessity of passenger terminal size on eigenvector centrality.


PDF Görünüm

Referanslar

  • Cai, W., Wei, R., Xu, L., & Ding, X. (2021). A method for modelling greenhouse temperature using gradient boost decision tree. Information Processing in Agriculture. https://doi.org/10.1016/j.inpa.2021.08.004 google scholar
  • Cats, O. and Krishnakumari, P. (2020), Metropolitan rail network robustness, Physica A: Statistical Mechanics and its Applications, 549, 124317. google scholar
  • Chaouk, M., Pagliari, R. and Moxon, R. (2020), The impact of national macro-environment exogenous variables on airport efficiency, Journal of Air Transport Management, 82, 101740 google scholar
  • Chen, Y., Wang, J. and Jin, F. (2020), Robustness of China’s air transport network from 1975 to 2017, Physica A, 539, 122876. google scholar
  • Cheng, B., Ma, Y., Feng, F., Zhang, Y., Shen, J., Wang, H., Guo, Y., Cheng, Y. (2021). Influence of weather and air pollution on concentration change of PM2.5 using a generalized additive model and gradient boosting machine. Atmospheric Environment, 255, 118437. https://doi.org/10.1016/j.atmosenv.2021.118437 google scholar
  • Chi-Lok, A.Y. and Zhang, A. (2009), Effects of competition and policy changes on Chinese airport productivity: An empirical investigation, Journal of Air Transport Management, 15, 166-174. google scholar
  • Dahiya, N., Saini, B., & Chalak, H. D. (2021). Gradient boosting-based regression modelling for estimating the time period of the irregular precast concrete structural system with cross bracing. Journal of King Saud University - Engineering Sciences. https://doi.org/10.1016/j.jksues.2021.08.004 google scholar
  • Dyer, A. S., Zaengle, D., Nelson, J. R., Duran, R., Wenzlick, M., Wingo, P. C., Bauer, J. R., Rose, K., Romeo, L. (2022). Applied machine learning model comparison: Predicting offshore platform integrity with gradient boosting algorithms and neural networks. Marine Structures, 83. https://doi.org/10.1016/j. marstruc.2021.103152 google scholar
  • Erdem, U., Tsiotas, D, and Cubukcu, K.M. (2019), Population Dynamics in Network Topology: The Case of Air Transport Network in Turkey, Management Research and Practice, 11(2), 5-20. google scholar
  • Freeman, L. C. (1978). Centrality in Social Networks Conceptual Clarification. Social Networks, 1, 215-239. google scholar
  • Friedman, J. H. (2001). Greedy Function Approximation: A Gradient Boosting Machine. In Source: The Annals of Statistics (Vol. 29). google scholar
  • Friedman, J. H. (1999). Stochastic Gradient Boosting. Computational Statistics & Data Analysis, 38(4), 367-378. https://doi.org/10.1016/S0167-9473(01)00065-2 google scholar
  • Kılıç Depren, S. and Gökalp Yavuz, F. (2018), The Network Analysis of the Domestic and International Air Transportation Structure of Turkey, Mugla Journal of Science and Technology, 4(2), 148-155. google scholar
  • Kosorukoff, A. (2011). Social Network Analysis: Theory and Applications. Retrieved from https://www. politaktiv.org/documents/10157/29141/SocNet_TheoryApp.pdf google scholar
  • Li, N., Huang, Q., Ge, X., He, M., Cui, S., Huang, P., Li, S, and Fung, S. F. (2021), A Review of the Research Progress of Social Network Structure. Complexity, Vol. 2021. https://doi.org/10.1155/2021/6692210. google scholar
  • Lin, J. (2012), Network analysis of China’s aviation system, statistical and spatial structure, Journal of Transport Geography, 22, 109-117. google scholar
  • Lordan, O., Sallan, J.M., Simo, P. and Gonzalez-Prieto, D. (2014), Robustness of the air transport network, Transportation Research Part E, 68, 155-163. google scholar
  • Newman, M. E. J. (2010), Networks: An Introduction. New York. google scholar
  • Newman, M. E. (2008), The mathematics of networks. The New Palgrave Encyclopedia Of Economics, 2(2008), 1-12. google scholar
  • Perez, C., and Germon, R. (2016), Graph Creation and Analysis for Linking Actors: Application to Social Data. In R. Layton & P. A. Watters (Eds.), Automating Open Source Intelligence. https://doi.org/10.1016/ B978-0-12-802916-9.00007-5 google scholar
  • Sun, X. and Wandelt, S. (2021), Robustness of Air Transportation as Complex Networks: Systematic Review of 15 Years of Research and Outlook into the Future, Sustainability, 13, 6446. google scholar
  • Wandelt, S. and Sun, X. (2015), Evolution of the international air transportation country network from 2002 to 2013, Transportation Research Part E, 82, 55-78. google scholar
  • Wang, J., Mo, H., Wang, F. and 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, 712-721. google scholar
  • Wanke, P.F. (2013), Physical infrastructure and flight consolidation efficiency drivers in Brazilian airports: A two-stage network-DEA approach, Journal of Air Transport Management, 31, 1-5. google scholar
  • Wellman, B., and Leighton, B. (1979), Networks, Neighborhoods, and Communities: Approaches to the Study of the Community Question. Urban Affairs Quarterly, 14(3), 363-390. google scholar
  • Qiu, R., Liu, C., Cui, N., Gao, Y., Li, L., Wu, Z., Jiang, S., Hu, M. (2022). Generalized Extreme Gradient Boosting model for predicting daily global solar radiation for locations without historical data. Energy Conversion and Management, 258, 115488. https://doi.org/10.1016/j.enconman.2022.115488 google scholar
  • Ridgeway, G. (2012). gbm: Generalized Boosted Regression Models, R package version 1.6-3.2. google scholar
  • Zhou, L., Fujita, H., Ding, H., & Ma, R. (2021). Credit risk modeling on data with two timestamps in peer-to-peer lending by gradient boosting. Applied Soft Computing, 110, 107672. https://doi.org/10.1016/j. asoc.2021.107672 google scholar

Atıflar

Biçimlendirilmiş bir atıfı kopyalayıp yapıştırın veya seçtiğiniz biçimde dışa aktarmak için seçeneklerden birini kullanın


DIŞA AKTAR



APA

Seçkin Codal, K., & Güner, S. (2022). Exploring the Sources of Centrality in the Turkish Domestic Airport Network. Journal of Transportation and Logistics, 7(2), 199-212. https://doi.org/10.26650/JTL.2022.1109878


AMA

Seçkin Codal K, Güner S. Exploring the Sources of Centrality in the Turkish Domestic Airport Network. Journal of Transportation and Logistics. 2022;7(2):199-212. https://doi.org/10.26650/JTL.2022.1109878


ABNT

Seçkin Codal, K.; Güner, S. Exploring the Sources of Centrality in the Turkish Domestic Airport Network. Journal of Transportation and Logistics, [Publisher Location], v. 7, n. 2, p. 199-212, 2022.


Chicago: Author-Date Style

Seçkin Codal, Keziban, and Samet Güner. 2022. “Exploring the Sources of Centrality in the Turkish Domestic Airport Network.” Journal of Transportation and Logistics 7, no. 2: 199-212. https://doi.org/10.26650/JTL.2022.1109878


Chicago: Humanities Style

Seçkin Codal, Keziban, and Samet Güner. Exploring the Sources of Centrality in the Turkish Domestic Airport Network.” Journal of Transportation and Logistics 7, no. 2 (Jul. 2024): 199-212. https://doi.org/10.26650/JTL.2022.1109878


Harvard: Australian Style

Seçkin Codal, K & Güner, S 2022, 'Exploring the Sources of Centrality in the Turkish Domestic Airport Network', Journal of Transportation and Logistics, vol. 7, no. 2, pp. 199-212, viewed 20 Jul. 2024, https://doi.org/10.26650/JTL.2022.1109878


Harvard: Author-Date Style

Seçkin Codal, K. and Güner, S. (2022) ‘Exploring the Sources of Centrality in the Turkish Domestic Airport Network’, Journal of Transportation and Logistics, 7(2), pp. 199-212. https://doi.org/10.26650/JTL.2022.1109878 (20 Jul. 2024).


MLA

Seçkin Codal, Keziban, and Samet Güner. Exploring the Sources of Centrality in the Turkish Domestic Airport Network.” Journal of Transportation and Logistics, vol. 7, no. 2, 2022, pp. 199-212. [Database Container], https://doi.org/10.26650/JTL.2022.1109878


Vancouver

Seçkin Codal K, Güner S. Exploring the Sources of Centrality in the Turkish Domestic Airport Network. Journal of Transportation and Logistics [Internet]. 20 Jul. 2024 [cited 20 Jul. 2024];7(2):199-212. Available from: https://doi.org/10.26650/JTL.2022.1109878 doi: 10.26650/JTL.2022.1109878


ISNAD

Seçkin Codal, Keziban - Güner, Samet. Exploring the Sources of Centrality in the Turkish Domestic Airport Network”. Journal of Transportation and Logistics 7/2 (Jul. 2024): 199-212. https://doi.org/10.26650/JTL.2022.1109878



ZAMAN ÇİZELGESİ


Gönderim27.04.2022
Kabul12.10.2022
Çevrimiçi Yayınlanma30.12.2022

LİSANS


Attribution-NonCommercial (CC BY-NC)

This license lets others remix, tweak, and build upon your work non-commercially, and although their new works must also acknowledge you and be non-commercial, they don’t have to license their derivative works on the same terms.


PAYLAŞ




İstanbul Üniversitesi Yayınları, uluslararası yayıncılık standartları ve etiğine uygun olarak, yüksek kalitede bilimsel dergi ve kitapların yayınlanmasıyla giderek artan bilimsel bilginin yayılmasına katkıda bulunmayı amaçlamaktadır. İstanbul Üniversitesi Yayınları açık erişimli, ticari olmayan, bilimsel yayıncılığı takip etmektedir.