A new methodology for treating problems in the field of traffic safety: case study of Libyan cities
Abstract
Traffic safety is an area of great importance, since there are many traffic accidents every day in which a significant number of people are killed. Defining certain strategies and identifying potentially the most dangerous towns and cities regarding this area are, on the one hand, a necessity, and, on the other hand, a challenge. In this paper, integrated Multi-Criteria Decision-Making (MCDM) model for ranking cities in Libya from the aspect of traffic safety has been proposed. The model implies a set of 8 criteria on the basis of which 5 decision-makers rated the 10 most deprived cities in Libya. The Full Consistency Model (FUCOM) in combination with the rough Dombi aggregator is used to determine the significance of the criteria. The Rough Simple Additive Weighting (R-SAW) method is used to rank the alternatives. The rough Dombi aggregator is also used for averaging in group decision-making while evaluating the alternatives. The stability of the model and the obtained results has been verified by the sensitivity analysis, which implies a 2-phase procedure. In the 1st phase, rough Additive Ratio Assessment (R-ARAS), Rough Weighted Aggregated Sum Product Assessment (R-WASPAS), Rough Complex Proportional Assessment (R-COPRAS) and Rough Multi-Attributive Border Approximation-area Comparison (R-MABAC) methods are applied. The 2nd phase implies changing the parameter ρ in the procedure of rough Dombi aggregator, while the 3rd phase includes the calculation of Spearman’s Correlation Coefficient (SCC) that shows a high correlation of ranks.
Keyword : FUCOM, traffic safety, R-SAW, MCDM, rough Dombi aggregator, traffic accidents
How to Cite
Badi, I., Stević, Željko, Radović, D., Ristić, B., Cakić, A., & Sremac, S. (2023). A new methodology for treating problems in the field of traffic safety: case study of Libyan cities. Transport, 38(4), 190–203. https://doi.org/10.3846/transport.2023.20609
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Abdulfatah Elturki, F. A.; Albrka Ali, S. I. 2018. Evaluation and analysis of factors affecting road traffic accidents in Tripoli-Libya, International Journal of Engineering Research in Africa 38: 124–132. https://doi.org/10.4028/www.scientific.net/JERA.38.124
Anđelković, D.; Antić, B.; Lipovac, K.; Tanackov, I. 2018. Identification of hotspots on roads using continual variance analysis, Transport 33(2): 478–488. https://doi.org/10.3846/16484142.2017.1289479
Badi, I.; Jibril, M. L.; Bakır, M. 2022. A composite approach for site optimization of fire stations, Journal of Intelligent Management Decision 1(1): 28–35. https://doi.org/10.56578/jimd010104
Božanić, D.; Tešić, D.; Kočić, J. 2019. Multi-criteria FUCOM – Fuzzy MABAC model for the selection of location for construction of single-span bailey bridge, Decision Making: Applications in Management and Engineering 2(1): 132–146. Available from Internet: https://dmame-journal.org/index.php/dmame/article/view/32
Castro-Nuño, M.; Arévalo-Quijada, M. T. 2018. Assessing urban road safety through multidimensional indexes: application of multicriteria decision making analysis to rank the Spanish provinces, Transport Policy 68: 118–129. https://doi.org/10.1016/j.tranpol.2018.04.017
Chen, F.; Wang, J.; Deng, Y. 2015. Road safety risk evaluation by means of improved entropy TOPSIS–RSR, Safety Science 79: 39–54. https://doi.org/10.1016/j.ssci.2015.05.006
Chen, S.; Leng, Y.; Mao, B.; Liu, S. 2014. Integrated weight-based multi-criteria evaluation on transfer in large transport terminals: a case study of the Beijing south railway station, Transportation Research Part A: Policy and Practice 66: 13–26. https://doi.org/10.1016/j.tra.2014.04.015
Erceg, Ž.; Mularifović, F. 2019. Integrated MCDM model for processes optimization in supply chain management in wood company, Operational Research in Engineering Sciences: Theory and Applications 2(1): 37–50. Available from Internet: https://oresta.org/article-view/?id=17
Fancello, G.; Carta, M.; Fadda, P. 2014. A decision support system based on ELECTRE III for safety analysis in a suburban road network, Transportation Research Procedia 3: 175–184. https://doi.org/10.1016/j.trpro.2014.10.103
Fancello, G.; Carta, M.; Fadda, P. 2015. A decision support system for road safety analysis, Transportation Research Procedia 5: 201–210. https://doi.org/10.1016/j.trpro.2015.01.009
Fancello, G.; Carta, M.; Fadda, P. 2019. Road intersections ranking for road safety improvement: Comparative analysis of multi-criteria decision making methods, Transport Policy 80: 188–196. https://doi.org/10.1016/j.tranpol.2018.04.007
Fazlollahtabar, H.; Smailbašić, A.; Stević, Ž. 2019. FUCOM method in group decision-making: selection of forklift in a warehouse, Decision Making: Applications in Management and Engineering 2(1): 49–65. Available from Internet: https://dmame-journal.org/index.php/dmame/article/view/26
Hajeeh, M. A. 2012. Traffic accidents in Kuwait: a decision making analysis, International Journal of Applied Mathematics and Informatics 6(2): 84–91. Available from Internet: https://naun.org/main/UPress/ami/16-155.pdf
Ivanović, I.; Grujičić, D.; Macura, D.; Jović, J.; Bojović, N. 2013. One approach for road transport project selection, Transport Policy 25: 22–29. https://doi.org/10.1016/j.tranpol.2012.10.001
Jakimavičius, M. 2018. Analysis and assessment of lithuanian road accidents by AHP method, The Baltic Journal of Road and Bridge Engineering 13(3): 238–260. https://doi.org/10.7250/bjrbe.2018-13.414
Jakimavičius, M.; Burinskienė, M. 2013. Multiple criteria assessment of a new tram line development scenario in Vilnius City public transport system, Transport 28(4): 431–437. https://doi.org/10.3846/16484142.2013.869253
Janackovic, G. L.; Savic, S. M.; Stankovic, M. S. 2013. Selection and ranking of occupational safety indicators based on fuzzy AHP: a case study in road construction companies, South African Journal of Industrial Engineering 24(3): 175–189. https://doi.org/10.7166/24-3-463
Kanuganti, S.; Agarwala, R.; Dutta, B.; Bhanegaonkar, P. N.; Singh, A. P.; Sarkar, A. K. 2017. Road safety analysis using multi criteria approach: a case study in India, Transportation Research Procedia 25: 4649–4661. https://doi.org/10.1016/j.trpro.2017.05.299
Khorasani, G.; Mirmohammadi, F.; Motamed, H.; Fereidoon, M.; Tatari, A.; Maleki Verki, M. R.; Khorasani, M.; Fazelpour, S. 2013. Application of multi criteria decision making tools in road safety performance indicators and determine appropriate method with average concept, International Journal of Innovative Technology and Exploring Engineering 3(5): 173–177. Available from Internet: https://www.ijitee.org/portfolio-item/E1291103513/
Macharis, C.; Bernardini, A. 2015. Reviewing the use of multi-criteria decision analysis for the evaluation of transport projects: time for a multi-actor approach, Transport Policy 37: 177–186. https://doi.org/10.1016/j.tranpol.2014.11.002
Matić, B.; Jovanović, S.; Das, D. K.; Zavadskas, E. K.; Stević, Ž.; Sremac, S.; Marinković, M. 2019. A new hybrid MCDM model: sustainable supplier selection in a construction company, Symmetry 11(3): 353. https://doi.org/10.3390/sym11030353
Mirmohammadi, F.; Khorasani, G.; Tatari, A.; Yadollahi, A.; Taherian, H.; Motamed, H.; Fazelpour, S.; Khorasani, M.; Maleki Verki, M. R. 2013. Investigation of road accidents and casualties factors with MCDM methods in Iran, Journal of American Science 9(7): 11–20. Available from Internet: https://www.jofamericanscience.org/journals/am-sci/am0907s/002_17357am0907s_11_20.pdf
Nenadić, D. 2019. Ranking dangerous sections of the road using MCDM model, Decision Making: Applications in Management and Engineering 2(1): 115–131. Available from Internet: https://dmame-journal.org/index.php/dmame/article/view/31
Nosal, K.; Solecka, K. 2014. Application of AHP method for multi-criteria evaluation of variants of the integration of urban public transport, Transportation Research Procedia 3: 269–278. https://doi.org/10.1016/j.trpro.2014.10.006
Nunić, Z. 2018. Evaluation and selection of Manufacturer PVC carpentry using FUCOM-MABAC model, Operational Research in Engineering Sciences: Theory and Applications 1(1): 13–28. Available from Internet: https://oresta.org/menu-script/index.php/oresta/article/view/3
Oltean-Dumbrava, C.; Watts, G.; Miah, A. 2016. Towards a more sustainable surface transport infrastructure: a case study of applying multi criteria analysis techniques to assess the sustainability of transport noise reducing devices, Journal of Cleaner Production 112: 2922–2934. https://doi.org/10.1016/j.jclepro.2015.09.096
Palevičius, V.; Paliulis, G. M.; Venckauskaite, J.; Vengrys, B. 2013. Evaluation of the requirement for passenger car parking spaces using multi-criteria methods, Journal of Civil Engineering and Management 19(1): 49–58. https://doi.org/10.3846/13923730.2012.727463
Pamučar, D.; Lukovac, V.; Božanić, D.; Komazec, N. 2018a. 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. Available from Internet: https://oresta.org/menu-script/index.php/oresta/article/view/10
Pamučar, D.; Stević, Ž.; Sremac, S. 2018b. A new model for determining weight coefficients of criteria in MCDM models: full consistency method (FUCOM), Symmetry 10(9): 393. https://doi.org/10.3390/sym10090393
Pérez, J. C.; Carrillo, M. H.; Montoya-Torres, J. R. 2015. Multi-criteria approaches for urban passenger transport systems: a literature review, Annals of Operations Research 226: 69–87. https://doi.org/10.1007/s10479-014-1681-8
Pilko, H.; Mandžuka, S.; Barić, D. 2017. Urban single-lane roundabouts: a new analytical approach using multi-criteria and simultaneous multi-objective optimization of geometry design, efficiency and safety, Transportation Research Part C: Emerging Technologies 80: 257–271. https://doi.org/10.1016/j.trc.2017.04.018
Podvezko, V.; Sivilevičius, H. 2013. The use of AHP and rank correlation methods for determining the significance of the interaction between the elements of a transport system having a strong influence on traffic safety, Transport 28(4): 389–403. https://doi.org/10.3846/16484142.2013.866980
Prentkovskis, O.; Erceg, Ž.; Stević, Ž.; Tanackov, I.; Vasiljević, M.; Gavranović, M. 2018. A new methodology for improving service quality measurement: Delphi-FUCOM-SERVQUAL model, Symmetry 10(12): 757. https://doi.org/10.3390/sym10120757
Radović, D.; Stević, Ž.; Pamučar, D.; Zavadskas, E. K.; Badi, I.; Antuchevičienė, 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
Rossi, R.; Gastaldi, M.; Gecchele, G. 2013. Comparison of fuzzy-based and AHP methods in sustainability evaluation: a case of traffic pollution-reducing policies, European Transport Research Review 5: 11–26. https://doi.org/10.1007/s12544-012-0086-5
Roy, J.; Chatterjee, K.; Bandyopadhyay, A.; Kar, S. 2018. Evaluation and selection of medical tourism sites: a rough analytic hierarchy process based multi-attributive border approximation area comparison approach, Expert Systems 35(1): e12232. https://doi.org/10.1111/exsy.12232
Ruiz-Padillo, A.; Ruiz, D. P.; Torija, A. J.; Ramos-Ridao, Á. 2016. Selection of suitable alternatives to reduce the environmental impact of road traffic noise using a fuzzy multi-criteria decision model, Environmental Impact Assessment Review 61: 8–18. https://doi.org/10.1016/j.eiar.2016.06.003
Sarrazin, R.; De Smet, Y. 2015. Applying multicriteria decision analysis to design safe road projects, European Journal of Transport and Infrastructure Research 15(4): 613–634. https://doi.org/10.18757/ejtir.2015.15.4.3100
Solecka, K. 2014. ELECTRE III method in assessment of variants of integrated urban public transport system in Cracow, Transport Problems 9(4): 83–96. Available from Internet: http://transportproblems.polsl.pl/pl/Archiwum/2014/zeszyt4/2014t9z4_08.pdf
Sordyl, J. 2015. Application of the AHP method to analyze the significance of the factors affecting road traffic safety, Transport Problems 10(2): 57–68. Available from Internet: http://transportproblems.polsl.pl/pl/Archiwum/2015/zeszyt2/2015t10z2_06.pdf
Stević, Ž.; Bašić, A.; Moslem, S.; Zhong, K. 2023. An integrated ABC–FUCOM model for product classification, Spectrum of Engineering and Management Sciences 1(1): 83–91. Available from Internet: https://www.sems-journal.org/index.php/sems/article/view/10
Stević, Ž.; Pamučar, D.; Subotić, M.; Antuchevičienė, 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. https://doi.org/10.3390/su10082817
Stević, Ž.; Pamučar, D.; Zavadskas, E. K.; Ćirović, G.; Prentkovskis, O. 2017. The selection of wagons for the internal transport of a logistics company: a novel approach based on rough BWM and rough SAW methods, Symmetry 9(11): 264. https://doi.org/10.3390/sym9110264
Stojić, G.; Stević, Ž.; Antuchevičienė, J.; Pamučar, D.; Vasiljević, M. 2018. A novel rough WASPAS approach for supplier selection in a company manufacturing PVC carpentry products, Information 9(5): 121. https://doi.org/10.3390/info9050121
Şerbu, C.; Opruţa, D.; Socaciu, L. 2014. Ranking the types of intersections for assessing the safety of pedestrians using TOPSIS method, Leonardo Electronic Journal of Practices and Technologies 13(25): 242–253. Available from Internet: http://lejpt.academicdirect.org/A25/242_253.pdf
Temrungsie, W.; Raksuntron, W.; Namee, N.; Chayanan, S.; Witchayangkoon, B. 2015. AHP-based prioritization on road accidents factors: a case study of Thailand, International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies 6(4): 135–144. https://doi.org/10.14456/itjemast.2015.10
WHO. 2018. Global Status Report on Road Safety 2018. World Health Organization (WHO). 424 p. Available from Internet: https://www.who.int/publications/i/item/9789241565684
Xi, J.; Zhao, Z.; Li, W.; Wang, Q. 2016. A traffic accident causation analysis method based on AHP-apriori, Procedia Engineering 137: 680–687. https://doi.org/10.1016/j.proeng.2016.01.305 Yahia, H. A. M.; Ismail, A. 2011. Analysis of traffic accidents in Libya, in International Building & Infrastructure Technology Conference, 7–8 June 2011, Penang, Malaysia, 1–9.
Yahia, H. A. M.; Ismail, A.; Albrka, S. I.; Almselati, A. S.; Ladin, M. A. 2014. Attitudes and awareness of traffic safety among drivers in Tripoli-Libya, Research Journal of Applied Sciences, Engineering and Technology 7(24): 5297–5303. https://doi.org/10.19026/rjaset.7.929
Zavadskas, E. K.; Nunić, Z.; Stjepanović, Ž.; Prentkovskis, O. 2018. A novel rough range of value method (R-ROV) for selecting automatically guided vehicles (AGVs), Studies in Informatics and Control 27(4): 385–394. https://doi.org/10.24846/v27i4y201802
Anđelković, D.; Antić, B.; Lipovac, K.; Tanackov, I. 2018. Identification of hotspots on roads using continual variance analysis, Transport 33(2): 478–488. https://doi.org/10.3846/16484142.2017.1289479
Badi, I.; Jibril, M. L.; Bakır, M. 2022. A composite approach for site optimization of fire stations, Journal of Intelligent Management Decision 1(1): 28–35. https://doi.org/10.56578/jimd010104
Božanić, D.; Tešić, D.; Kočić, J. 2019. Multi-criteria FUCOM – Fuzzy MABAC model for the selection of location for construction of single-span bailey bridge, Decision Making: Applications in Management and Engineering 2(1): 132–146. Available from Internet: https://dmame-journal.org/index.php/dmame/article/view/32
Castro-Nuño, M.; Arévalo-Quijada, M. T. 2018. Assessing urban road safety through multidimensional indexes: application of multicriteria decision making analysis to rank the Spanish provinces, Transport Policy 68: 118–129. https://doi.org/10.1016/j.tranpol.2018.04.017
Chen, F.; Wang, J.; Deng, Y. 2015. Road safety risk evaluation by means of improved entropy TOPSIS–RSR, Safety Science 79: 39–54. https://doi.org/10.1016/j.ssci.2015.05.006
Chen, S.; Leng, Y.; Mao, B.; Liu, S. 2014. Integrated weight-based multi-criteria evaluation on transfer in large transport terminals: a case study of the Beijing south railway station, Transportation Research Part A: Policy and Practice 66: 13–26. https://doi.org/10.1016/j.tra.2014.04.015
Erceg, Ž.; Mularifović, F. 2019. Integrated MCDM model for processes optimization in supply chain management in wood company, Operational Research in Engineering Sciences: Theory and Applications 2(1): 37–50. Available from Internet: https://oresta.org/article-view/?id=17
Fancello, G.; Carta, M.; Fadda, P. 2014. A decision support system based on ELECTRE III for safety analysis in a suburban road network, Transportation Research Procedia 3: 175–184. https://doi.org/10.1016/j.trpro.2014.10.103
Fancello, G.; Carta, M.; Fadda, P. 2015. A decision support system for road safety analysis, Transportation Research Procedia 5: 201–210. https://doi.org/10.1016/j.trpro.2015.01.009
Fancello, G.; Carta, M.; Fadda, P. 2019. Road intersections ranking for road safety improvement: Comparative analysis of multi-criteria decision making methods, Transport Policy 80: 188–196. https://doi.org/10.1016/j.tranpol.2018.04.007
Fazlollahtabar, H.; Smailbašić, A.; Stević, Ž. 2019. FUCOM method in group decision-making: selection of forklift in a warehouse, Decision Making: Applications in Management and Engineering 2(1): 49–65. Available from Internet: https://dmame-journal.org/index.php/dmame/article/view/26
Hajeeh, M. A. 2012. Traffic accidents in Kuwait: a decision making analysis, International Journal of Applied Mathematics and Informatics 6(2): 84–91. Available from Internet: https://naun.org/main/UPress/ami/16-155.pdf
Ivanović, I.; Grujičić, D.; Macura, D.; Jović, J.; Bojović, N. 2013. One approach for road transport project selection, Transport Policy 25: 22–29. https://doi.org/10.1016/j.tranpol.2012.10.001
Jakimavičius, M. 2018. Analysis and assessment of lithuanian road accidents by AHP method, The Baltic Journal of Road and Bridge Engineering 13(3): 238–260. https://doi.org/10.7250/bjrbe.2018-13.414
Jakimavičius, M.; Burinskienė, M. 2013. Multiple criteria assessment of a new tram line development scenario in Vilnius City public transport system, Transport 28(4): 431–437. https://doi.org/10.3846/16484142.2013.869253
Janackovic, G. L.; Savic, S. M.; Stankovic, M. S. 2013. Selection and ranking of occupational safety indicators based on fuzzy AHP: a case study in road construction companies, South African Journal of Industrial Engineering 24(3): 175–189. https://doi.org/10.7166/24-3-463
Kanuganti, S.; Agarwala, R.; Dutta, B.; Bhanegaonkar, P. N.; Singh, A. P.; Sarkar, A. K. 2017. Road safety analysis using multi criteria approach: a case study in India, Transportation Research Procedia 25: 4649–4661. https://doi.org/10.1016/j.trpro.2017.05.299
Khorasani, G.; Mirmohammadi, F.; Motamed, H.; Fereidoon, M.; Tatari, A.; Maleki Verki, M. R.; Khorasani, M.; Fazelpour, S. 2013. Application of multi criteria decision making tools in road safety performance indicators and determine appropriate method with average concept, International Journal of Innovative Technology and Exploring Engineering 3(5): 173–177. Available from Internet: https://www.ijitee.org/portfolio-item/E1291103513/
Macharis, C.; Bernardini, A. 2015. Reviewing the use of multi-criteria decision analysis for the evaluation of transport projects: time for a multi-actor approach, Transport Policy 37: 177–186. https://doi.org/10.1016/j.tranpol.2014.11.002
Matić, B.; Jovanović, S.; Das, D. K.; Zavadskas, E. K.; Stević, Ž.; Sremac, S.; Marinković, M. 2019. A new hybrid MCDM model: sustainable supplier selection in a construction company, Symmetry 11(3): 353. https://doi.org/10.3390/sym11030353
Mirmohammadi, F.; Khorasani, G.; Tatari, A.; Yadollahi, A.; Taherian, H.; Motamed, H.; Fazelpour, S.; Khorasani, M.; Maleki Verki, M. R. 2013. Investigation of road accidents and casualties factors with MCDM methods in Iran, Journal of American Science 9(7): 11–20. Available from Internet: https://www.jofamericanscience.org/journals/am-sci/am0907s/002_17357am0907s_11_20.pdf
Nenadić, D. 2019. Ranking dangerous sections of the road using MCDM model, Decision Making: Applications in Management and Engineering 2(1): 115–131. Available from Internet: https://dmame-journal.org/index.php/dmame/article/view/31
Nosal, K.; Solecka, K. 2014. Application of AHP method for multi-criteria evaluation of variants of the integration of urban public transport, Transportation Research Procedia 3: 269–278. https://doi.org/10.1016/j.trpro.2014.10.006
Nunić, Z. 2018. Evaluation and selection of Manufacturer PVC carpentry using FUCOM-MABAC model, Operational Research in Engineering Sciences: Theory and Applications 1(1): 13–28. Available from Internet: https://oresta.org/menu-script/index.php/oresta/article/view/3
Oltean-Dumbrava, C.; Watts, G.; Miah, A. 2016. Towards a more sustainable surface transport infrastructure: a case study of applying multi criteria analysis techniques to assess the sustainability of transport noise reducing devices, Journal of Cleaner Production 112: 2922–2934. https://doi.org/10.1016/j.jclepro.2015.09.096
Palevičius, V.; Paliulis, G. M.; Venckauskaite, J.; Vengrys, B. 2013. Evaluation of the requirement for passenger car parking spaces using multi-criteria methods, Journal of Civil Engineering and Management 19(1): 49–58. https://doi.org/10.3846/13923730.2012.727463
Pamučar, D.; Lukovac, V.; Božanić, D.; Komazec, N. 2018a. 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. Available from Internet: https://oresta.org/menu-script/index.php/oresta/article/view/10
Pamučar, D.; Stević, Ž.; Sremac, S. 2018b. A new model for determining weight coefficients of criteria in MCDM models: full consistency method (FUCOM), Symmetry 10(9): 393. https://doi.org/10.3390/sym10090393
Pérez, J. C.; Carrillo, M. H.; Montoya-Torres, J. R. 2015. Multi-criteria approaches for urban passenger transport systems: a literature review, Annals of Operations Research 226: 69–87. https://doi.org/10.1007/s10479-014-1681-8
Pilko, H.; Mandžuka, S.; Barić, D. 2017. Urban single-lane roundabouts: a new analytical approach using multi-criteria and simultaneous multi-objective optimization of geometry design, efficiency and safety, Transportation Research Part C: Emerging Technologies 80: 257–271. https://doi.org/10.1016/j.trc.2017.04.018
Podvezko, V.; Sivilevičius, H. 2013. The use of AHP and rank correlation methods for determining the significance of the interaction between the elements of a transport system having a strong influence on traffic safety, Transport 28(4): 389–403. https://doi.org/10.3846/16484142.2013.866980
Prentkovskis, O.; Erceg, Ž.; Stević, Ž.; Tanackov, I.; Vasiljević, M.; Gavranović, M. 2018. A new methodology for improving service quality measurement: Delphi-FUCOM-SERVQUAL model, Symmetry 10(12): 757. https://doi.org/10.3390/sym10120757
Radović, D.; Stević, Ž.; Pamučar, D.; Zavadskas, E. K.; Badi, I.; Antuchevičienė, 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
Rossi, R.; Gastaldi, M.; Gecchele, G. 2013. Comparison of fuzzy-based and AHP methods in sustainability evaluation: a case of traffic pollution-reducing policies, European Transport Research Review 5: 11–26. https://doi.org/10.1007/s12544-012-0086-5
Roy, J.; Chatterjee, K.; Bandyopadhyay, A.; Kar, S. 2018. Evaluation and selection of medical tourism sites: a rough analytic hierarchy process based multi-attributive border approximation area comparison approach, Expert Systems 35(1): e12232. https://doi.org/10.1111/exsy.12232
Ruiz-Padillo, A.; Ruiz, D. P.; Torija, A. J.; Ramos-Ridao, Á. 2016. Selection of suitable alternatives to reduce the environmental impact of road traffic noise using a fuzzy multi-criteria decision model, Environmental Impact Assessment Review 61: 8–18. https://doi.org/10.1016/j.eiar.2016.06.003
Sarrazin, R.; De Smet, Y. 2015. Applying multicriteria decision analysis to design safe road projects, European Journal of Transport and Infrastructure Research 15(4): 613–634. https://doi.org/10.18757/ejtir.2015.15.4.3100
Solecka, K. 2014. ELECTRE III method in assessment of variants of integrated urban public transport system in Cracow, Transport Problems 9(4): 83–96. Available from Internet: http://transportproblems.polsl.pl/pl/Archiwum/2014/zeszyt4/2014t9z4_08.pdf
Sordyl, J. 2015. Application of the AHP method to analyze the significance of the factors affecting road traffic safety, Transport Problems 10(2): 57–68. Available from Internet: http://transportproblems.polsl.pl/pl/Archiwum/2015/zeszyt2/2015t10z2_06.pdf
Stević, Ž.; Bašić, A.; Moslem, S.; Zhong, K. 2023. An integrated ABC–FUCOM model for product classification, Spectrum of Engineering and Management Sciences 1(1): 83–91. Available from Internet: https://www.sems-journal.org/index.php/sems/article/view/10
Stević, Ž.; Pamučar, D.; Subotić, M.; Antuchevičienė, 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. https://doi.org/10.3390/su10082817
Stević, Ž.; Pamučar, D.; Zavadskas, E. K.; Ćirović, G.; Prentkovskis, O. 2017. The selection of wagons for the internal transport of a logistics company: a novel approach based on rough BWM and rough SAW methods, Symmetry 9(11): 264. https://doi.org/10.3390/sym9110264
Stojić, G.; Stević, Ž.; Antuchevičienė, J.; Pamučar, D.; Vasiljević, M. 2018. A novel rough WASPAS approach for supplier selection in a company manufacturing PVC carpentry products, Information 9(5): 121. https://doi.org/10.3390/info9050121
Şerbu, C.; Opruţa, D.; Socaciu, L. 2014. Ranking the types of intersections for assessing the safety of pedestrians using TOPSIS method, Leonardo Electronic Journal of Practices and Technologies 13(25): 242–253. Available from Internet: http://lejpt.academicdirect.org/A25/242_253.pdf
Temrungsie, W.; Raksuntron, W.; Namee, N.; Chayanan, S.; Witchayangkoon, B. 2015. AHP-based prioritization on road accidents factors: a case study of Thailand, International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies 6(4): 135–144. https://doi.org/10.14456/itjemast.2015.10
WHO. 2018. Global Status Report on Road Safety 2018. World Health Organization (WHO). 424 p. Available from Internet: https://www.who.int/publications/i/item/9789241565684
Xi, J.; Zhao, Z.; Li, W.; Wang, Q. 2016. A traffic accident causation analysis method based on AHP-apriori, Procedia Engineering 137: 680–687. https://doi.org/10.1016/j.proeng.2016.01.305 Yahia, H. A. M.; Ismail, A. 2011. Analysis of traffic accidents in Libya, in International Building & Infrastructure Technology Conference, 7–8 June 2011, Penang, Malaysia, 1–9.
Yahia, H. A. M.; Ismail, A.; Albrka, S. I.; Almselati, A. S.; Ladin, M. A. 2014. Attitudes and awareness of traffic safety among drivers in Tripoli-Libya, Research Journal of Applied Sciences, Engineering and Technology 7(24): 5297–5303. https://doi.org/10.19026/rjaset.7.929
Zavadskas, E. K.; Nunić, Z.; Stjepanović, Ž.; Prentkovskis, O. 2018. A novel rough range of value method (R-ROV) for selecting automatically guided vehicles (AGVs), Studies in Informatics and Control 27(4): 385–394. https://doi.org/10.24846/v27i4y201802