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A MODEL PROPOSAL WITH SWARA AND ARAS METHODS IN EVALUATING THE URBAN RAIL TRANSPORT PERFORMANCE

Year 2021, Issue: 3, 35 - 53, 30.07.2021
https://doi.org/10.51551/verimlilik.762067

Abstract

Purpose: This study aims to create a model using a two-stage Multi-Criteria Decision Making (MCDM) method to evaluate urban rail transport performance. 

Methodology: Within the scope of the study, the rail system lines operated in Ankara Electricity, Gas and Bus Operation Institution (EGO General Directorate) were evaluated by SWARA (Step-wise Weight Assessment Ratio Analysis) and ARAS (Additive Ratio Assessment) methods, which are MCDM methods. The importance weights of the evaluation criteria were determined using SWARA method and the performance values of the rail system lines were calculated using ARAS method.

Findings: According to the results of the study, it has been determined that the most important criteria is the maximum passenger capacity. Besides, alternatives are respectively from the highest to the lowest according to their performance; it has been found as Batıkent-Sincan/Törekent, Çayyolu-Kızılay, Batıkent-Kızılay, Keçiören-Atatürk Cultural Center and Aşti-Dikimevi.

Originality: In the literature, it has been seen that SWARA and ARAS methods are not used as a two stage method in the measurement of urban rail transportation system performance and productivity. Moreover, it is believed that the study applies to other urban transportation systems and will contribute to the literature.

References

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KENT İÇİ RAYLI ULAŞIM PERFORMANSINI DEĞERLENDİRMEDE SWARA VE ARAS YÖNTEMLERİ İLE BİR MODEL ÖNERİSİ-A MODEL PROPOSAL WITH SWARA AND ARAS METHODS IN EVALUATION OF URBAN RAIL TRANSPORT PERFORMANCE

Year 2021, Issue: 3, 35 - 53, 30.07.2021
https://doi.org/10.51551/verimlilik.762067

Abstract

Amaç: Bu çalışma, kent içi raylı ulaşım performansını değerlendirmek için iki aşamalı bir Çok Kriterli Karar Verme (ÇKKV) yöntemi kullanarak bir model oluşturmayı amaçlamaktadır.

Yöntem: Çalışma kapsamında Ankara Elektrik, Havagazı ve Otobüs İşletme Müessesesi’nde (EGO Genel Müdürlüğü) işletilen raylı sistem hatları, SWARA (Step-Wise Weight Assessment Ratio Analysis) ve ARAS (Additive Ratio Assessment) yöntemleriyle değerlendirilmiştir. SWARA yöntemi ile değerlendirme kriterlerinin önem ağırlıkları belirlenmiş, ARAS yöntemi ile raylı sistem hatlarının performans değerleri hesaplanmıştır.

Bulgular: Çalışmada elde edilen sonuçlara göre değerlendirme kriterleri arasında en önemli kriterin maksimum yolcu kapasitesi olduğu tespit edilmiştir. Ayrıca alternatifler performanslarına göre en yüksekten en düşüğe doğru sırasıyla; Batıkent-Sincan/Törekent, Çayyolu-Kızılay, Batıkent-Kızılay, Keçiören-Atatürk Kültür Merkezi ve Aşti-Dikimevi olarak bulunmuştur.


Özgünlük: Literatürde kent içi raylı ulaşım sistemi performans ve verimlilik ölçümü konusunda iki aşamalı bir yöntem olarak SWARA ve ARAS yöntemlerinin kullanılmadığı görülmüştür. Bununla birlikte çalışmanın diğer kent içi ulaşım sistemleri için de uygulanabilir olduğu ve literatüre katkı sağlayacağı düşünülmektedir.

References

  • AKMAN, G. ve ALKAN, A. (2016), Evaluation of Alternative Public Transportation Systems in Izmit Urban Transportation via Axiomatic Design Method, Pamukkale University Journal of Engineering Sciences, 22 (1), 54-63.
  • ALADE, T., EDELENBOS, J. ve GIANOLİ, A. (2019), Frugality in Multi-Actor Interactions and Absorptive Capacity of Addis-Ababa Light-Rail Transport, Journal of Urban Management, 9 (1), 67-76.
  • BURKUCU, H., KILINÇARSLAN, S. K., KORKMAZ, Ş., ORAK, A. ve ÇETİN, M. H. (2020), Mekanik Sistemlerde Rejeneratif Frenleme ile Elde Edilebilecek Enerji Miktarının Belirlenmesi ve Verimlilik Analizi, Karabük Üniversitesi Makine Mühendisliği Dergisi, 1 (1), 1-8.
  • CHANG, H. (2012), Study on the Evaluation Principle of Xi’an Urban Rail Transit Network from the Perspective of Historic City Conservation, Advanced Materials Research, 368–373, 3258-3261.
  • CHU, W., ZHANG, X., CHEN, J. ve SUN, X. (2016), Pareto Optimal Train Scheduling for Urban Rail Transit Using Generalized Particle Swarm Optimization, Advances in Mechanical Engineering, 8 (10), 1-15.
  • ÇUBUK, M. K. ve TÜRKMEN, M. (2003), Ankara’da Raylı Ulaşım, Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 18 (1), 125-144.
  • DADELO, S., TURSKIS, Z., ZAVADSKAS, E. K. ve DADELIENE, R. (2012), Multiple Criteria Assessment of Elite Security Personal on the Basis of ARAS and Expert Methods, Economic Computation and Economic Cybernetics Studies and Research, 46 (4), 65-88.
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  • DING, F., ZHAO, J. B., BEI, S. Y. ve LIU, H. M. (2011), MAS-Based Urban Rail Transport Ridership Forecast System and Traffic Generation Analysis, Applied Mechanics and Materials, 39, 322-325.
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  • DUDKIN, E. P., ANDREEVA, L. A. ve SULTANOV, N. N. (2017), Methods of Noise and Vibration Protection on Urban Rail Transport, Procedia Engineering, 189 (May), 829-835.
  • DÜZKAYA, H., AKDEMİR, F., HAYRİ, U., ORMAN, A. ve SIVAT, S. (2018), Türkiye’de Orta Büyüklükteki Kentlerde Raylı Sistem Uygulamaları: Erzincan Cadde Tramvayı Örneği, El-Cezeri Journal of Science and Engineering, 5 (2), 403-415.
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  • FENG, X., WANG, X. ve ZHANG, H. (2014), Passenger Transfer Efficiency Optimization Modelling Research with Simulations, International Journal of Simulation Modelling, 13 (2), 210-218.
  • GHOUSHCHI, S. J., RAHMAN, M. N. A., RAEISI, D., OSGOOEI, E. ve GHOUSHJI, M. J. (2020), Integrated Decision-Making Approach Based on SWARA and GRA Methods for the Prioritization of Failures in Solar Panel Systems Under Z-İnformation, Symmetry, 12 (2), 1-21.
  • GULHAN, G. (2018), Impact of Rail System Investments on Estate Taxes and Evaluation of Spatial Change Potential: Example of Kazlicesme-Sogutlucesme Metro Route, Journal of Human Sciences, 15 (4), 2029-2046.
  • GRAHAM, D. J., COUTO, A., ADENEY, W. E. ve GLAISTER, S. (2003), Economies of Scale and Density in Urban Rail Transport: Effects on Productivity, Transportation Research Part E: Logistics and Transportation Review, 39 (6), 443-458.
  • HAN, Z., TAN, J., GRIMMOND, C. S. B., MA, B., YANG, T. ve WENG, C. (2020), An Integrated Wind Risk Warning Model for Urban Rail Transport in Shanghai, China, Atmosphere, 11 (1), 1-15.
  • JING, C. (2012), Analysis on Convenience of Beijing Urban Subway Transfer Stations Based on GIS, Advanced Materials Research, 403-408, 1471-1474.
  • KERŠULIENĖ, V., ZAVADSKAS, E. K. ve TURSKIS, Z. (2010), Selection of Rational Dispute Resolution Method by Applying New Step-Wise Weight Assessment Ratio Analysis (Swara), Journal of Business Economics and Management, 11 (2), 243-258.
  • KERŠULIENE, V. ve TURSKIS, Z. (2014), A Hybrid Linguistic Fuzzy Multiple Criteria Group Selection of a Chief Accounting Officer, Journal of Business Economics and Management, 15 (2), 232-252.
  • KUTLU, H., ULVİ, H. ve AKDEMİR, F. (2019), Gelişmekte Olan Ülkelerde Raylı Sistem Yatırım Kararlarını Etkileyen Ölçütlerin Belirlenmesi: AB ve Türkiye Özelinde Bir Araştırma, Demiryolu Mühendisliği, (9), 61-78.
  • KWAN, S. C., SUTAN, R. ve HASHIM, J. H. (2018), Trip Characteristics as the Determinants of Intention to Shift to Rail Transport Among Private Motor Vehicle Users in Kuala Lumpur, Malaysia. Sustainable Cities and Society, 36 (October), 319-326.
  • LI, J., HUANG, Y. ve HAO, C. (2008), A Treatment Method for Urban Rail Transport Project Benefit Information to Ensure the Multiple Benefit Factors Based on Rough Set, Proceedings of 2008 IEEE International Conference on Service Operations and Logistics and Informatics, 2, 1547-1552.
  • LIN, T. G., XIA, J. C., ROBINSON, T. P., OLARU, D., SMITH, B., TAPLIN, J. ve CAO, B. (2016), Enhanced Huff Model for Estimating Park and Ride (Pnr) Catchment Areas in Perth, WA, Journal of Transport Geography, 54, 336-348.
  • LIU, L. F. ve WANG, W. (2016), Analysis of Urban Rail Transit Seamless Transfer Standard, MATEC Web of Conferences, 81, 1-5.
  • MASOUMI, M. ve ÖCALIR-AKÜNAL, E. V. (2018), Türkiye’deki Kent İçi Raylı Ulaşım Sistemlerinin Performanslarının Veri Zarflama Analizi ile Karşılaştırılması, Politeknik Dergisi, 21 (4), 971-975.
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  • MIN, G., QINGREN, J. ve WEIDONG, C. (2018), Analysis of the Harmonics Influence of Urban Rail Transport Load on Nanning Power Grid Based on ETAP, Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018, 594-599.
  • MORISON, C., WANG, A. ve BEWES, O. (2005), Methods for Measuring the Dynamic Stiffness of Resilient Rail Fastenings for Low Frequency Vibration Isolation of Railways, Their Problems and Possible Solutions, Journal of Low Frequency Noise Vibration and Active Control, 24 (2), 107-116.
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There are 56 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Ramazan Erturgut 0000-0002-0240-5787

Nesrin Koç Ustalı 0000-0003-4217-4212

Publication Date July 30, 2021
Submission Date July 1, 2020
Published in Issue Year 2021 Issue: 3

Cite

APA Erturgut, R., & Koç Ustalı, N. (2021). KENT İÇİ RAYLI ULAŞIM PERFORMANSINI DEĞERLENDİRMEDE SWARA VE ARAS YÖNTEMLERİ İLE BİR MODEL ÖNERİSİ-A MODEL PROPOSAL WITH SWARA AND ARAS METHODS IN EVALUATION OF URBAN RAIL TRANSPORT PERFORMANCE. Verimlilik Dergisi(3), 35-53. https://doi.org/10.51551/verimlilik.762067

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