Trafik kazalarını etkileyen faktörlerin ağırlıklarının BWM ve SWARA yöntemleri ile belirlenmesi

Genç ve yetişkinler arasında önde gelen ölüm ve yaralanma nedeni olan trafik kazaları dünya çapında bir endişe kaynağı olmuştur. Dünya Sağlık Örgütü'nün (WHO) 2018 yılında yol güvenliğine ilişkin küresel durum raporuna göre, trafik kazaları nedeniyle her yıl yaklaşık 1,35 milyon kişi hayatını kaybetmekte ve 50 milyon kişi yaralanmaktadır. Karayolu trafik sistemi, insan, araç, yol ve doğal çevre gibi kapsamlı faktörleri içeren karmaşık bir sistemdir. Bu karmaşık sistem uygun iyileştirmeler olmadığı taktirde can kayıplarına, yaralanmalara, maddi hasara ve trafik sıkışıklığına neden olacaktır. Bu nedenle, trafik güvenliğini artırmak için trafik kazalarını etkileyen faktörlerin analiz edilmesi gerekmektedir. Mevcut literatürde trafik kazalarını etkileyen ekonomi, iklim, yol yapısı, trafik bilgileri ve trafik güvenliği kanunları gibi çok sayıda faktör bulunmaktadır. Bu çalışmada trafik kazalarına etki eden sürücü dışındaki kriterler ve bunların alt kriterleri belirlenmiştir. Ardından çok kriterli karar verme yöntemleri olan BWM ve SWARA metotları ile ayrı ayrı uygulanarak trafik kazalarına etki eden faktörlerin ağrılıkları hesaplanarak karayolu kazalarının azaltılması için öneri sunulmuştur.

Determining the weights of the factors affecting traffic accidents by BWM and SWARA methods

Traffic accidents, the leading cause of death and injury among youth and adults, have been a worldwide concern. According to the World Health Organization's (WHO) global status report on road safety in 2018, approximately 1.35 million people die and 50 million are injured every year due to traffic accidents. The road traffic system is a complex system that includes comprehensive factors such as people, vehicles, roads and the natural environment. This complex system will cause loss of life, injuries, property damage and traffic jams unless appropriate improvements are made. Therefore, in order to improve traffic safety, it is necessary to analyze the effective factors affecting traffic accidents. In the current literature, there are many factors affecting traffic accidents such as economy, climate, road structure, traffic information and traffic safety laws. In this study, the criteria other than the driver that affect traffic accidents and their sub-criteria were determined. Then, BWM and SWARA methods, which are multi-criteria decision-making methods, were applied separately and suggestions were presented to reduce road accidents by calculating the weights of the factors affecting traffic accidents.

___

  • Badi, I., & Abdulshahed, A. (2019). Ranking the Libyan airlines by using full consistency method (FUCOM) and analytical hierarchy process (AHP). Operational Research in Engineering Sciences: Theory and Applications, 2(1), 1-14.
  • Bao, Q., Ruan, D., Shen, Y., Hermans, E., Janssens, D., (2012). Improved hierarchical fuzzy TOPSIS for road safety performance evaluation. Knowl.-Based Syst. 32, 84–90.
  • Birgün, S., & Ulu, M. (2020). Site selection for a training centre focused on industry 4.0 by using DEMATEL and COPRAS. In The International Symposium for Production Research (pp. 37-50). Springer, Cham.
  • Chen, F., Wang, J., Deng, Y., (2015). Road safety risk evaluation by means of improved entropy TOPSIS–RSR. Saf. Sci. 79, 39–54.
  • de Almeida, A.T., Alencar, M.H., Garcez, T.V., Ferreira, R.J.P., (2017). A systematic literature review of multicriteria and multi-objective models applied in risk management. IMA J. Manage. Math. 28 (2), 153–184.
  • Demir, G., & Bircan, H. (2020). Kriter Ağırlıklandırma Yöntemlerinden Bwm Ve Fucom Yöntemlerinin Karşılaştırılması Ve Bir Uygulama. Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, 21(2), 170-185.
  • Ecer, F. (2020). Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer. Operational Research, 1-35.
  • Fancello, G., Carta, M., Fadda, P., (2015). A decision support system for road safety analysis. Transp. Res. Procedia 5, 201–210.
  • Farooq, D., Moslem, S., Jamal, A., Butt, F. M., Almarhabi, Y., Faisal Tufail, R., & Almoshaogeh, M. (2021). Assessment of Significant Factors Affecting Frequent Lane-Changing Related to Road Safety: An Integrated Approach of the AHP–BWM Model. International Journal of Environmental Research and Public Health, 18(20), 10628.
  • Grdini ́c-Rakonjac, M., Pajkovi ́c, V., (2020). Evaluating the road safety of local municipalities with application of GRA: Montenegro case study. Trans. Transport Sci. 11 (3), 4–11.
  • Hashemkhani Zolfani, S., Yazdani, M., & Zavadskas, E. K. (2018). An extended stepwise weight assessment ratio analysis (SWARA) method for improving criteria prioritization process. Soft Computing, 22(22), 7399-7405.
  • Keršuliene, V., Zavadskas, E. K., & 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.
  • Keymanesh, M., Ziari, H., Roudini, S., & Nasrollahtabar Ahangar, A. (2017). Identification and prioritization of “black spots” without using accident information. Modelling and Simulation in Engineering.
  • Maruf, M., & Özdemir, K. (2021). Türkiye’deki ticari bankalara ait web sitelerin performanslarının SWARA ve ARAS yöntemi ile sıralanması. OPUS Uluslararası Toplum Araştırmaları Dergisi, 18(Yönetim ve Organizasyon Özel Sayısı), 1-1.
  • Moslem, S., Gul, M., Farooq, D., Celik, E., Ghorbanzadeh, O., & Blaschke, T. (2020). An integrated approach of best-worst method (bwm) and triangular fuzzy sets for evaluating driver behavior factors related to road safety. Mathematics, 8(3), 414.
  • Ömürbek, N., & Şimşek, A. (2014). Analitik hiyerarşi süreci ve analitik ağ süreci yöntemleri ile online alişveriş site seçimi. Yönetim ve Ekonomi Araştırmaları Dergisi, 12(22), 306-327.
  • Pamučar, D., Lukovac, V., Božanić, D., & Komazec, N. (2018). Multi-criteria FUCOM-MAIRCA model for the evaluation of level crossings: case study in the Republic of Serbia. Operational Research in Engineering Sciences: Theory and Applications, 1(1), 108-129.
  • Pérez-Acebo, H., Ziolkowski, R., & Gonzalo-Orden, H. (2021). Evaluation of the Radar Speed Cameras and Panels Indicating the Vehicles’ Speed as Traffic Calming Measures (TCM) in Short Length Urban Areas Located along Rural Roads. Energies, 14(23), 8146.
  • Radović, D., & Stević, Ž. (2018). Evaluation and selection of KPI in transport using SWARA method. Transport & Logistics: The International Journal, 8(44), 60-68.
  • Ramírez, A. F., & Valencia, C. (2021). Spatiotemporal correlation study of traffic accidents with fatalities and injuries in Bogota (Colombia). Accident Analysis & Prevention, 149, 105848.
  • Rezaei, J. (2015). “Best-Worst Multi-Criteria Decision-Making Method”. Omega, 53, 49–57.
  • Rostamzadeh, R., Ghorabaee, M. K., Govindan, K., Esmaeili, A., & Nobar, H. B. K. (2018). Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS-CRITIC approach. Journal of Cleaner Production, 175, 651-669.
  • Stević, Ž., Pamučar, D., Subotić, M., Antuchevičiene, J., & Zavadskas, E. K. (2018). The location selection for roundabout construction using Rough BWM-Rough WASPAS approach based on a new Rough Hamy aggregator. Sustainability, 10(8), 2817.
  • Şahin Y., Kulaklı A., & Birgün S., (2022). A Fuzzy Multicriteria Decision Making Approach for Lean Supplier Selection, Proceedings of the International Conference on Industrial Engineering and Operations Management Istanbul, Turkey
  • Touahmia, M. (2018). Identification of risk factors influencing road traffic accidents. Engineering, Technology & Applied Science Research, 8(1), 2417-2421.
  • Ulu, M., & Şahin, H. (2021). An integrated approach for fire extinguishers selection with DEMATEL and TODIM methods. Business & Management Studies: An International Journal, 9(4), 1696-1707.
  • URL1, https://www.kgm.gov.tr/SiteCollectionDocuments/KGMdocuments/Trafik/TrafikKazalariOzeti2020.p df (Erişim tarihi: 18.12.2021)
  • Van de Kaa, G., Fens, T., & Rezaei, J. (2019). Residential grid storage technology battles: a multi- criteria analysis using BWM. Technology Analysis & Strategic Management, 31(1), 40-52.
  • Vrtagić, S., Softić, E., Subotić, M., Stević, Ž., Dordevic, M., & Ponjavic, M. (2021). Ranking road sections based on MCDM model: New improved fuzzy SWARA (IMF SWARA). Axioms, 10(2), 92.
  • Wang, C., Quddus, M. A., & Ison, S. G. (2013). The effect of traffic and road characteristics on road safety: A review and future research direction. Safety science, 57, 264-275. WHO (2018). Global Status Report on Road Safety 2018: Summary.
  • Yang, D., Xie, K., Ozbay, K., Yang, H., (2021). Fusing crash data and surrogate safety measures for safety assessment: development of a structural equation model with conditional autoregressive spatial effect and random parameters. Accident Anal. Prevent. 152, 105971.
  • Yaprak, B., & Ercan, S., (2021). Kapitalizmin Sözde Ölümü: Paylaşım Ekonomisine Eleştirel Bir Bakış. Düşünce ve Toplum Sosyal Bilimler Dergisi, 3(5), 92-121.
  • Zou, Y., Zhang, Y., & Cheng, K. (2021). Exploring the impact of climate and extreme weather on fatal traffic accidents. Sustainability, 13(1), 390.