Development of MCDM-based Frameworks for Proactively Managing the Most Critical Risk Factors for Transport Accidents: A Case Study in Libya

Authors

  • Ibrahim Badi Mechanical Engineering Department, Libyan Academy, 2429 Misrata, Libya Author
  • Mouhamed Bayane Bouraima School of Civil Engineering, Southwest Jiao Tong University, Chengdu, Sichuan 610031, China Author

DOI:

https://doi.org/10.31181/sems1120231b

Keywords:

Risk factors; Accidents; CoCoSo; IMF; SWARA

Abstract

Road transport accidents are a major public health concern in Libya, with one of the highest death rates in the world. In this paper, we propose a hybrid approach using the improved fuzzy step-wise weight assessment ratio analysis (IMF-SWARA) method to identify the most critical risk factors for transport accidents, and the combined compromise solution (CoCoSo) method to rank the strategies for mitigating these risks. Our study uses a case study in Libya to demonstrate the effectiveness of the proposed approach. The IMF-SWARA method is used to weight the risk factors for transport accidents, and our analysis shows that driver-related factors are the most critical risk factors. We then use the CoCoSo method to rank the strategies for mitigating these risks, and our analysis shows that driver training and education is the most important strategy. Our study suggests six strategies in total, which can be used by policymakers to proactively manage the risks associated with transport accidents in Libya. The proposed approach can be applied to other countries to identify critical risk factors and develop effective risk management frameworks.

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References

Moslem, S., Stević, Ž., Tanackov, I., & Pilla, F. (2023). Sustainable development solutions of public transportation: An integrated IMF SWARA and Fuzzy Bonferroni operator. Sustainable Cities and Society, 93, 104530. https://doi.org/10.1016/j.scs.2023.104530.

Moslem, S., Farooq, D., Ghorbanzadeh, O., & Blaschke, T. (2020). Application of the AHP-BWM model for evaluating driver behavior factors related to road safety: A case study for Budapest. Symmetry, 12(2), 243. https://doi.org/10.3390/sym12020243.

Nenadić, D. (2019). Ranking dangerous sections of the road using MCDM model. Decision Making: Applications in Management and Engineering, 2(1), 115-131. https://doi.org/10.31181/dmame1901115n.

Mirmohammadi, F., Khorasani, G., Tatari, A., Yadollahi, A., Taherian, H., Motamed, H., et al. (2013). Investigation of road accidents and casualties factors with MCDM methods in Iran. Journal of American Science, 9(7), 11-20.

Nkeng, G. E., Wounba, J. F., Fondzenyuy, S. K., Usami, D. S., & Persia, L. (2020). The role of insurance companies to road traffic safety in Cameroon. International Journal of Engineering and Innovative Technology, 10(5), 1-13. https://doi.org/10.51456/IJEIT.2020.v10i05.001.

Bouraima, M. B., Tengecha, N. A., Stević, Ž., Simić, V., & Qiu, Y. (2023). An integrated fuzzy MCDM model for prioritizing strategies for successful implementation and operation of the bus rapid transit system. Annals of Operations Research. https://doi.org/10.1007/s10479-023-05183-y.

Sudha, A. S., & Rajarajeswari, P. (2012). MCDM for Road Safety Management Using Fuzzy Analytical Hierarchy Process. International Journal of Future Computer and Communication, 1(3), 249. https://doi.org/10.7763/IJFCC.2012.V1.66.

Vitianingsih, A. V., Baharin, S. S. K., Othman, O., & Suraji, A. (2022). Empirical Study of a Spatial Analysis for Prone Road Traffic Accident Classification based on MCDM Method. International Journal of Advanced Computer Science and Applications, 13(5), 665-679. https://doi.org/10.14569/IJACSA.2022.0130578.

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. https://doi.org/10.3390/axioms10020092.

Bouraima, M. B., Qiu, Y., Stević, Ž., & Simić, V. (2023). Assessment of alternative railway systems for sustainable transportation using an integrated IRN SWARA and IRN CoCoSo model. Socio-Economic Planning Sciences, 86, 101475. https://doi.org/10.1016/j.seps.2022.101475.

Bouraima, M. B., Qiu, Y., Stević, Ž., Marinković, D., & Deveci, M. (2023). Integrated intelligent decision support model for ranking regional transport infrastructure programmes based on performance assessment. Expert Systems with Applications, 222, 119852. https://doi.org/10.1016/j.eswa.2023.119852.

Jovanović, S., Zavadskas, E. K., Stević, Ž., Marinković, M., Alrasheedi, A. F., & Badi, I. (2023). An Intelligent Fuzzy MCDM Model Based on D and Z Numbers for Paver Selection: IMF D-SWARA—Fuzzy ARAS-Z Model. Axioms, 12(6), 573. https://doi.org/10.3390/axioms12060573.

Moslem, S. (2023). A Novel Parsimonious Best Worst Method for Evaluating Travel Mode Choice. IEEE Access, 11, 16768-16773. https://doi.org/10.1109/ACCESS.2023.3242120.

Zolfani, S. H., Görçün, Ö. F., & Küçükönder, H. (2021). Evaluating logistics villages in Turkey using hybrid improved fuzzy SWARA (IMF SWARA) and fuzzy MABAC techniques. Technological and Economic Development of Economy, 27(6), 1582-1612. https://doi.org/10.3846/tede.2021.16004.

Alosta, A., Elmansuri, O., & Badi, I. (2021). Resolving a location selection problem by means of an integrated AHP-RAFSI approach. Reports in Mechanical Engineering, 2(1), 135-142. https://doi.org/10.31181/rme200102135a.

Eshtaiwi, M. I., Badi, I. A., Abdulshahed, A. M., & Erkan, T. E. (2017). Assessment of airport performance using the grey theory method: A case study in Libya. Grey Systems: Theory and Application, 7(3), 426-436. https://doi.org/10.1108/GS-07-2017-0023.

Badi, I., Bouraima, M. B., & Muhammad, L. (2022). The role of intelligent transportation systems in solving traffic problems and reducing environmental negative impact of urban transport. Decision Making and Analysis, 1(1), 1-9.

Elmansouri, O., Almhroog, A., & Badi, I. (2020). Urban transportation in Libya: An overview. Transportation Research Interdisciplinary Perspectives, 8, 100161. https://doi.org/10.1016/j.trip.2020.100161.

Radović, D., Stević, Ž., Pamučar, D., Zavadskas, E. K., Badi, I., Antuchevičiene, J., & Turskis, Z. (2018). Measuring performance in transportation companies in developing countries: a novel rough ARAS model. Symmetry, 10(10), 434. https://doi.org/10.3390/sym10100434.

Beheshtinia, M. A., Sayadinia, S., & Bargebid, H. (2021). Identifying the factors affecting road accidents and providing multi-criteria hybrid decision-making methods for ranking hazardous points. International Journal of Transportation Engineering, 9(1), 439-458. https://doi.org/0.22119/IJTE.2021.260481.1548.

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Published

2023-08-28

How to Cite

Badi, I., & Mouhamed Bayane Bouraima. (2023). Development of MCDM-based Frameworks for Proactively Managing the Most Critical Risk Factors for Transport Accidents: A Case Study in Libya. Spectrum of Engineering and Management Sciences, 1(1), 38-47. https://doi.org/10.31181/sems1120231b