demiryolu mühendisliği

Demiryolu Mühendisliği

2149-1607 2687-2463

Demiryolu Mühendisleri Derneği

10.47072/demiryolu.1842278

Multiple Criteria Decision Making

Çok Ölçütlü Karar Verme

Evaluation of the Criteria Affecting High-Speed Railway Operation Safety Using the Fuzzy AHP Method

Yüksek Hızlı Demiryolu İşletim Emniyetini Etkileyen Kriterlerin Bulanık AHP Yöntemi ile Değerlendirilmesi

https://orcid.org/0000-0002-6006-6760

Cingöz

Kısmet

Tarsus Üniversitesi

01 21 2026

0 23 182 194 12 14 2025 01 21 2026

2014

Demiryolu Mühendisliği

In line with the increasing population, urbanization, and transportation demand in recent years, high-speed rail systems have been rapidly expanding worldwide as a sustainable, safe, speedy and high-capacity mode of transportation. Moreover, compared to other transportation modes, high-speed trains offer advantages such as energy efficiency, environmental friendliness, safety, and convenience for passengers, which further increases their attractiveness. For these reasons, the operation safety of high-speed railways is of great importance. Accordingly, the aim of this study is to identify the criteria affecting the safety of high-speed rail operations and to evaluate the relative importance of these criteria using the Fuzzy Analytical Hierarchy Method. Within the scope of the study, based on a literature review and expert opinions, three main criteria and twelve sub-criteria affecting high-speed rail operational safety were identified; subsequently, the weights of these criteria were calculated using the Fuzzy Analytical Hierarchy Method based on the evaluations of three experts. According to the results obtained, the most important main criterion is equipment, and the most important sub-criterion is the professional competence of personnel.

Son yıllarda artan nüfus, kentleşme ve ulaşım talebi doğrultusunda yüksek hızlı demiryolu sistemleri, sürdürülebilir, güvenli, hızlı ve yüksek kapasiteli bir ulaşım modu olarak dünya genelinde hızla yaygınlaşmaktadır. Ayrıca diğer ulaşım yöntemleriyle karşılaştırıldığında, yüksek hızlı trenlerin enerji tasarrufu, çevre dostu olma, güvenlik ve yolcular için kolaylık sağlaması gibi avantajlara sahip olması tercih edilebilirliğini arttırmaktadır. Bu sebeplerle yüksek hızlı demiryollarının işletim emniyeti oldukça önemli olmaktadır. Bu doğrultuda, bu çalışmanın amacı, yüksek hızlı demiryolu işletiminin emniyetini etkileyen kriterleri belirlemek ve bu kriterlerin göreli önem derecelerini Bulanık Analitik Hiyerarşi Yöntemi kullanarak değerlendirmektir. Çalışma kapsamında, literatür incelemesi ve uzman görüşleri doğrultusunda yüksek hızlı demiryolu işletim emniyetini etkileyen 3 ana ve 12 alt kriterler tanımlanmış; ardından 3 uzmanın görüşleri alınarak Bulanık Analitik Hiyerarşi Yöntemi ile bu kriterlerin ağırlıkları hesaplanmıştır. Elde edilen sonuçlara göre en önemli ana kriter ekipman ana kriteridir ve en önemli alt kriter personelin mesleki yeterliliği alt kriteridir.

yüksek hızlı demiryolu emniyet bulanık analitik hiyerarşi süreci

high-speed railway safety fuzzy anaytical hierarchy method

[1] M. Momenitabar, Z. D. Ebrahimi, and M. A. Arani, “Systematic and analytical review of the socioeconomic and environmental impact of the deployed high-speed rail (HSR) Systems on the world,” arXiv preprint arXiv:2003.04452. 2020

[2] Union Internationale des Chemins de fer (UIC), High speed rail fast track to sustainable mobility,2018

[3] M. F. Altan, and M. Ç. Kızıltaş, “Yüksek hızlı demiryolları, gelişme eğilimleri, hizmet parametreleri üzerine bir derleme,” Erzincan University Journal of Science and Technology, 11(3), 560-570,2018

[4] Statbase. “Indicators. Air, rail and water transportation: high-speed rail lines,” 2023. [Online]. Available: https://statbase.org/datasets/air-rail-and-water-transportation/high-speed-rail-lines/?syear=2023&frmreq=0&sproc=sum&filter=&sort= [Erişilmiştir 19 Ocak, 2026]

[5] International Union of Railways, Atlas high -speed rail 2024. Paris: Geography and Railway Traffic Research Group, 2025

[6] J. Wang, Y. Wang, Y. Peng, and J. J. Lu, “Examining partial proportional odds model in analyzing severity of high-speed railway accident,” Smart and resilient transportation, 3(1), 12-24. 2021, doi: 10.1108/SRT-10-2020-0022

[7] D. Wan-Lin, S. Ming, Z. Zhao, and H. Bon-Gang, “Mapping high-speed railway accidents 2000–2024: characteristics, patterns, and preventive measures,” Accident Analysis & Prevention, 222, 108255. 2025, doi: 10.1016/j.aap.2025.108255

[8] H. Zheng, K. Zhang, C. Wu, J. Li, B. Yang, G. Wu, and B. Liu, “Evaluating High-Speed Rail Operation Safety through an Integrated Framework: A Case Study in China,” Transportation Research Record, 03611981251384961. 2025, doi: 10.1177/03611981251384961

[9] L. Cheng, Y. Wang, and Y. Peng, “Research on risk assessment of high-speed railway operation based on network ANP,” Smart and Resilient Transportation, 3(1), pp. 37-5, 2021, doi:10.1108/SRT-10-2020-0024

[10] Q. Hu, M. Tan, H. Lu, and Y. Zhu, “A rough set-based measurement model study on high-speed railway safety operation,” Plos one, 13(6), pp. e0197918, 2018, doi: 10.1371/journal.pone.0197918

[11] L. Wang, C. Jin, and C. Xu, “An evaluative study of the operational safety of high-speed railway stations based on IEM-Fuzzy comprehensive assessment theory,” Journal of Information Processing Systems, 16(5), pp. 1064-1073, 2020, doi: 10.3745/JIPS.04.0188

[12] S. Gu, and K. Li, “Reliability analysis of high-speed railway network,” Proceedings of the Institution of Mechanical Engineers, Part O: Journal of risk and reliability, 233(6), pp. 1060-1073, 2019, doi: 10.1177/1748006X19853681

[13] M. Kyriakidis, A. Majumdar, and W. Y. Ochieng, “Data based framework to identify the most significant performance shaping factors in railway operations,” Safety science, 78, pp. 60-76, 2015, doi: 10.1016/j.ssci.2015.04.010

[14] S. Yıldırım, “Yüksek hızlı tren hatlarında sinyalizasyon blok mesafelerinin hesaplanması,” Demiryolu Mühendisliği, (14), pp. 14-25, 2021, doi: 10.47072/demiryolu.869933

[15] Q. Hu, N. Gao, and B. Zhang, “High speed railway environment safety evaluation based on measurement attribute recognition model,” Computational intelligence and neuroscience, 2014(1), 470758, 2014, doi: 10.1155/2014/470758

[16] C. Lu, and C. Cai, “Overview on safety management and maintenance of high-speed railway in China,” Transportation Geotechnics, 25, 100397, 2020, doi: 10.1016/j.trgeo.2020.100397

[17] C. G. Ela, and A. Karamancıoğlu, “Çevresel koşulların katener sistemi üzerindeki etkisi,” Demiryolu Mühendisliği, (17), pp. 26-37, 2023, doi: 10.47072/demiryolu.1177292

[18] Ş. Kuşdoğan, and Ö. Doğruer, “Demiryolu elektrifikasyonunda katener sistem tasarımı,” Demiryolu Mühendisliği, (14), 130-142, 2021, doi: 10.47072/demiryolu.871106

[19] T. L. Saaty, “Some mathematical concepts of the analytic hierarchy process,” Behaviormetrika, 18(29), pp. 1–9, 1991,

[20] P. Sirisawat, and T. Kiatcharoenpol, “Fuzzy AHP-TOPSIS approaches to prioritizing solutions for reverse logistics barriers,” Computers & Industrial Engineering, 117, pp. 303-318, 2018, doi: 10.1016/j.cie.2018.01.015

[21] D. Y. Chang, “Applications of the extent analysis method of fuzzy AHP,” Europen Journal of Operational Research, 95, pp. 649-655, 1996, doi: 10.1016/0377-2217(95)00300-2

[22] R. Kumar, S. Tiwari, and S. Kansara, “Barriers prioritization of the indian steel industry supply chain: applying AHP and fuzzy AHP method,” Vision, 29(2), pp. 200-208, 2025, doi: 10.1177/09722629211065687

[23] V. J. Hodge, S. O'Keefe, M. Weeks and A. Moulds, "Wireless Sensor Networks for Condition Monitoring in the Railway Industry: A Survey," in IEEE Transactions on Intelligent Transportation Systems, 16(3), pp. 1088-1106, 2015, doi: 10.1109/TITS.2014.2366512

[24] A. J. Filtness, and A. Naweed, “Causes, consequences and countermeasures to driver fatigue in the rail industry: The train driver perspective,” Applied Ergonomics, 60, pp. 12-21, 2017, doi: 10.1016/j.apergo.2016.10.009