Abstract
Environment and social life are open to hazards, because of the distribution, diffusion, and conversion processes of chemicals contained in hazardous materials. These chemicals are very dangerous. Various precautions should be taken into consideration during the displacement of hazardous materials. Therefore, it is important to identify and minimize the risks in the transportation of hazardous material. This work investigates to identify the critical risk factors and their weights for hazardous material transportation operations. The literature is reviewed, critical risk factors for hazardous material transportation are defined, and data from different experts is collected. A two-level hierarchical structure is established to evaluate risk factors. Then, the experts’ evaluations of main and sub-risk factors are consolidated using the modified Delphi method. Weights of main and sub-risk factors are obtained using the Pythagorean fuzzy analytic hierarchy process method. To show the robustness of the proposed decision-making methodology, a sensitivity analysis is conducted.
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08 February 2022
A Correction to this paper has been published: https://doi.org/10.1007/s11356-022-19045-w
References
Atanassov KT (1999) Intuitionistic fuzzy sets (pp. 1–137). Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1870-3_1
Ayyildiz E, Taskin Gumus A (2020a) A novel spherical fuzzy AHP-integrated spherical WASPAS methodology for petrol station location selection problem: a real case study for İstanbul. Environmental Science and Pollution Research 27(29):36109–36120. https://doi.org/10.1007/s11356-020-09640-0
Ayyildiz E, Taskin Gumus A (2020b) Interval-valued Pythagorean fuzzy AHP method-based supply chain performance evaluation by a new extension of SCOR model: SCOR 4.0. Complex & Intelligent Systems, 1–18. https://doi.org/10.1007/s40747-020-00221-9
Ayyildiz E, Taskin Gumus A, Erkan M (2020) Individual credit ranking by an integrated interval type-2 trapezoidal fuzzy Electre methodology. Soft Computing 24(21):16149–16163. https://doi.org/10.1007/s00500-020-04929-1
Bonvicini S, Antonioni G, Morra P, Cozzani V (2015) Quantitative assessment of environmental risk due to accidental spills from onshore pipelines. Process Safety and Environmental Protection 93:31–49. https://doi.org/10.1016/j.psep.2014.04.007
Celik E, Gumus AT, Alegoz M (2014) A trapezoidal type-2 fuzzy MCDM method to identify and evaluate critical success factors for humanitarian relief logistics management. Journal of Intelligent and Fuzzy Systems 27(6):2847–2855. https://doi.org/10.3233/IFS-141246
Chang CW, Wu CR, Chen HC (2008) Using expert technology to select unstable slicing machine to control wafer slicing quality via fuzzy AHP. Expert Systems with Applications 34(3):2210–2220. https://doi.org/10.1016/j.eswa.2007.02.042
Chen ZS, Li M, Kong WT, Chin KS (2019) Evaluation and selection of hazmat transportation alternatives: a PHFLTS-and TOPSIS-integrated multi-perspective approach. International Journal of Environmental Research and Public Health 16(21). https://doi.org/10.3390/ijerph16214116
Cheng C, Chen Y, Li T (2011) An AHP method for road traffic safety. Proceedings - 4th International Joint Conference on Computational Sciences and Optimization, CSO 2011:305–308. https://doi.org/10.1109/CSO.2011.65
Chiou SW (2020) A resilience-based signal control for a time-dependent road network with hazmat transportation. Reliability Engineering and System Safety 193:106570. https://doi.org/10.1016/j.ress.2019.106570
Dano UL (2018) Improving traffic safety towards sustainable built environment in Dammam City, Saudi Arabia. IOP Conference Series: Earth and Environmental Science 151:012031. https://doi.org/10.1088/1755-1315/151/1/012031
Darbra RM, Palacios A, Casal J (2010) Domino effect in chemical accidents: main features and accident sequences. Journal of Hazardous Materials 183(1–3):565–573. https://doi.org/10.1016/j.jhazmat.2010.07.061
Deng X, Zeng D, Shen H (2018) Causation analysis model: based on AHP and hybrid Apriori-Genetic algorithm. Journal of Intelligent and Fuzzy Systems 35(1):767–778. https://doi.org/10.3233/JIFS-171250
Erdogan M, Kaya I (2016) A combined fuzzy approach to determine the best region for a nuclear power plant in Turkey. Applied Soft Computing Journal 39:84–93. https://doi.org/10.1016/j.asoc.2015.11.013
Erkut E, Gzara F (2008) Solving the hazmat transport network design problem. Computers and Operations Research 35(7):2234–2247. https://doi.org/10.1016/j.cor.2006.10.022
Erkut E, Ingolfsson A (2000) Catastrophe avoidance models for hazardous materials route planning. Transportation Science 34(2):165–179. https://doi.org/10.1287/trsc.34.2.165.12303
Garg H (2016) A novel correlation coefficients between Pythagorean fuzzy sets and its applications to decision-making processes. International Journal of Intelligent Systems 31(12):1234–1252. https://doi.org/10.1002/int.21827
Ghaderi A, Burdett RL (2019) An integrated location and routing approach for transporting hazardous materials in a bi-modal transportation network. Transportation Research Part E: Logistics and Transportation Review 127:49–65. https://doi.org/10.1016/j.tre.2019.04.011
Ghaleh S, Omidvari M, Nassiri P, Momeni M, Mohammadreza Miri Lavasani S (2019) Pattern of safety risk assessment in road fleet transportation of hazardous materials (oil materials). Safety Science 116:1–12. https://doi.org/10.1016/j.ssci.2019.02.039
Gul M (2018) Application of Pythagorean fuzzy AHP and VIKOR methods in occupational health and safety risk assessment: the case of a gun and rifle barrel external surface oxidation and colouring unit. Int J Occup Saf Ergonomics 1–14. https://doi.org/10.1080/10803548.2018.1492251
Gul M, Ak MF (2018) A comparative outline for quantifying risk ratings in occupational health and safety risk assessment. Journal of Cleaner Production 196:653–664. https://doi.org/10.1016/j.jclepro.2018.06.106
Gul M, Guneri AF, Nasirli SM (2019) A fuzzy-based model for risk assessment of routes in oil transportation. International Journal of Environmental Science and Technology 16(8):4671–4686. https://doi.org/10.1007/s13762-018-2078-z
Gumus AT (2009) Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology. Expert Systems with Applications 36(2 PART 2):4067–4074. https://doi.org/10.1016/j.eswa.2008.03.013
Hartman A (1981) Reaching consensus using the Delphi technique. Educational Leadership 38(6):495–497
Hsu PF, Wu CR, Li YT (2008) Selection of infectious medical waste disposal firms by using the analytic hierarchy process and sensitivity analysis. Waste Management 28(8):1386–1394. https://doi.org/10.1016/j.wasman.2007.05.016
Hu H, Li J, Li X (2018) A credibilistic goal programming model for inventory routing problem with hazardous materials. Soft Computing 22(17):5803–5816. https://doi.org/10.1007/s00500-017-2663-y
Hu H, Li X, Zhang Y, Shang C, Zhang S (2019) Multi-objective location-routing model for hazardous material logistics with traffic restriction constraint in inter-city roads. Computers and Industrial Engineering 128:861–876. https://doi.org/10.1016/j.cie.2018.10.044
Hu H, Li J, Li X, Shang C (2020) Modeling and solving a multi-period inventory fulfilling and routing problem for hazardous materials. Journal of Systems Science and Complexity 33:1–23. https://doi.org/10.1007/s11424-019-8176-2
Huang X, Wang X, Pei J, Xu M, Huang X, Luo Y (2018) Risk assessment of the areas along the highway due to hazardous material transportation accidents. Natural Hazards 93(3):1181–1202. https://doi.org/10.1007/s11069-018-3346-4
Ilbahar E, Karaşan A, Cebi S, Kahraman C (2018) A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system. Safety Science 103:124–136. https://doi.org/10.1016/j.ssci.2017.10.025
Kara BY, Verter V (2004) Designing a road network for hazardous materials transportation. Transportation Science 38(2):188–196. https://doi.org/10.1287/trsc.1030.0065
Karasan A, Ilbahar E, Cebi S, Kahraman C (2018) A new risk assessment approach: safety and critical effect analysis (SCEA) and its extension with Pythagorean fuzzy sets. Safety Science 108:173–187. https://doi.org/10.1016/j.ssci.2018.04.031
Karasan A, Ilbahar E, Kahraman C (2019) A novel pythagorean fuzzy AHP and its application to landfill site selection problem. Soft Computing 23(21):10953–10968. https://doi.org/10.1007/s00500-018-3649-0
Koulinas GK, Marhavilas PK, Demesouka OE, Vavatsikos AP, Koulouriotis DE (2019) Risk analysis and assessment in the worksites using the fuzzy-analytical hierarchy process and a quantitative technique – a case study for the Greek construction sector. Safety Science 112:96–104. https://doi.org/10.1016/j.ssci.2018.10.017
Lam C, Zhou W (2016) Statistical analyses of incidents on onshore gas transmission pipelines based on PHMSA database. International Journal of Pressure Vessels and Piping 145:29–40. https://doi.org/10.1016/j.ijpvp.2016.06.003
Leonelli P, Bonvicini S, Spadoni G (2000) Hazardous materials transportation: a risk-analysis-based routing methodology. Journal of Hazardous Materials 71(1–3):283–300. https://doi.org/10.1016/S0304-3894(99)00084-9
Li YL, Yang Q, Chin KS (2019) A decision support model for risk management of hazardous materials road transportation based on quality function deployment. Transportation Research Part D: Transport and Environment 74:154–173. https://doi.org/10.1016/j.trd.2019.07.026
Ma C (2018) Network optimisation design of Hazmat based on multi-objective genetic algorithm under the uncertain environment. International Journal of Bio-Inspired Computation 12(4):236–244. https://doi.org/10.1504/IJBIC.2018.096482
Mohagheghi V, Mousavi SM, Vahdani B (2017) Enhancing decision-making flexibility by introducing a new last aggregation evaluating approach based on multi-criteria group decision making and Pythagorean fuzzy sets. Applied Soft Computing Journal 61:527–535. https://doi.org/10.1016/j.asoc.2017.08.003
Murry JW, Hammons JO (1995) Delphi: a versatile methodology for conducting qualitative research. The Review of Higher Education 18(4):423–436. https://doi.org/10.1353/rhe.1995.0008
Njuangang S, Liyanage C, Akintoye A (2017) Application of the Delphi technique in healthcare maintenance. International Journal of Health Care Quality Assurance 30(8):737–754. https://doi.org/10.1108/IJHCQA-02-2017-0042
Othman MR, Idris R, Hassim MH, Ibrahim WHW (2016) Prioritizing HAZOP analysis using analytic hierarchy process (AHP). Clean Technologies and Environmental Policy 18(5):1345–1360. https://doi.org/10.1007/s10098-016-1104-4
Ovidi F, van der Vlies V, Kuipers S, Landucci G (2020) HazMat transportation safety assessment: analysis of a “Viareggio-like” incident in the Netherlands. Journal of Loss Prevention in the Process Industries 63:103985. https://doi.org/10.1016/j.jlp.2019.103985
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
Saat MR, Werth CJ, Schaeffer D, Yoon H, Barkan CPL (2014) Environmental risk analysis of hazardous material rail transportation. Journal of Hazardous Materials 264:560–569. https://doi.org/10.1016/j.jhazmat.2013.10.051
Saaty TL (1977) A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology 15(3):234–281. https://doi.org/10.1016/0022-2496(77)90033-5
Sadiq R, Tesfamariam S (2009) Environmental decision-making under uncertainty using intuitionistic fuzzy analytic hierarchy process (IF-AHP). Stochastic Environmental Research and Risk Assessment 23(1):75–91. https://doi.org/10.1007/s00477-007-0197-z
Sahoo S, Dhar A, Kar A (2016) Environmental vulnerability assessment using Grey Analytic Hierarchy Process based model. Environmental Impact Assessment Review 56:145–154. https://doi.org/10.1016/j.eiar.2015.10.002
Samanlioglu F (2013) A multi-objective mathematical model for the industrial hazardous waste location-routing problem. European Journal of Operational Research 226(2):332–340. https://doi.org/10.1016/j.ejor.2012.11.019
Santarremigia FE, Molero GD, Poveda-Reyes S, Aguilar-Herrando J (2018) Railway safety by designing the layout of inland terminals with dangerous goods connected with the rail transport system. Safety Science 110:206–216. https://doi.org/10.1016/j.ssci.2018.03.001
Shi H (2009) Fuzzy evaluation approach of road traffic safety based on AHP. FBIE 2009 - 2009 International Conference on Future BioMedical Information Engineering, 394–397. https://doi.org/10.1109/FBIE.2009.5405832
Smarandache F (1999) A unifying feld in logics: neutrosophic logic. In: Philosophy, vol 17. American Research Press, Rehoboth, pp 1–141
Tan RR, Promentilla MAB (2013) A methodology for augmenting sparse pairwise comparison matrices in AHP: applications to energy systems. Clean Technologies and Environmental Policy 15(4):713–719. https://doi.org/10.1007/s10098-012-0555-5
Tesfamariam S, Sadiq R (2006) Risk-based environmental decision-making using fuzzy analytic hierarchy process (F-AHP). Stochastic Environmental Research and Risk Assessment 21(1):35–50. https://doi.org/10.1007/s00477-006-0042-9
Tong O, Shao S, Zhang Y, Chen Y, Liu SL, Zhang SS (2012) An AHP-based water-conservation and waste-reduction indicator system for cleaner production of textile-printing industry in China and technique integration. Clean Technologies and Environmental Policy 14(5):857–868. https://doi.org/10.1007/s10098-012-0453-x
Torra V (2010) Hesitant fuzzy sets. International Journal of Intell Syst 25(6). https://doi.org/10.1002/int.20418
Wang J, Chen F (2012) Risk evaluation of expressway traffic safety under “prior restraint” idea. CICTP 2012:2169–2180. https://doi.org/10.1061/9780784412442.220
Wang L, Li W, Li H (2020) Decision-making for ecological landslide prevention in tropical rainforests. Natural Hazards 103(1):985–1008. https://doi.org/10.1007/s11069-020-04022-8
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
Xing Y, Chen S, Zhu S, Zhang Y, Lu J (2020) Exploring risk factors contributing to the severity of hazardous material transportation accidents in China. International Journal of Environmental Research and Public Health 17(4). https://doi.org/10.3390/ijerph17041344
Yager RR (2013) Pythagorean fuzzy subsets. Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting. IFSA/NAFIPS 2013:57–61. https://doi.org/10.1109/IFSA-NAFIPS.2013.6608375
Yang Q, Chin KS, Li YL (2018) A quality function deployment-based framework for the risk management of hazardous material transportation process. Journal of Loss Prevention in the Process Industries 52:81–92. https://doi.org/10.1016/j.jlp.2018.02.001
Yildiz A, Ayyildiz E, Gumus AT, Ozkan C (2020) A modified balanced scorecard based hybrid Pythagorean fuzzy AHP-TOPSIS methodology for ATM site selection problem. International Journal of Information Technology and Decision Making 19(02):365–384. https://doi.org/10.1142/S0219622020500017
Yucesan M, Gul M (2020) Hospital service quality evaluation: an integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS. Soft Computing 24(5):3237–3255. https://doi.org/10.1007/s00500-019-04084-2
Zadeh LA (1965) Fuzzy sets. Information and Control 8(3):338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-II. Information Sciences 8(4):301–357. https://doi.org/10.1016/0020-0255(75)90046-8
Zarei E, Azadeh A, Khakzad N, Aliabadi MM, Mohammadfam I (2017) Dynamic safety assessment of natural gas stations using Bayesian network. Journal of Hazardous Materials 321:830–840. https://doi.org/10.1016/j.jhazmat.2016.09.074
Zhu J, Li Y (2018) Pythagorean fuzzy Muirhead mean operators and their application in multiple-criteria group decision-making. Information 9(6):142. https://doi.org/10.3390/info9060142
Zhu X, Wang F, Wang H, Liang C, Tang R, Sun X, Li J (2014) TOPSIS method for quality credit evaluation: a case of air-conditioning market in China. Journal of Computational Science 5(2):99–105. https://doi.org/10.1016/j.jocs.2013.02.001
Zografos KG, Androutsopoulos KN (2008) A decision support system for integrated hazardous materials routing and emergency response decisions. Transportation Research Part C: Emerging Technologies 16(6):684–703. https://doi.org/10.1016/j.trc.2008.01.004
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This work is supported by Yıldız Technical University Scientific Research Projects Coordination Unit. Project Number: FBA-2020-3808.
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Ertugrul Ayyildiz developed the theoretical formulation, performed the analytic calculations, and performed the numerical analysis. Ertugrul Ayyildiz and Alev Taskin Gumus contributed to the sensitivity analysis and final version of the manuscript. Ertugrul Ayyildiz drafted the manuscript. Alev Taskin Gumus supervised the work.
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Ayyildiz, E., Taskin Gumus, A. Pythagorean fuzzy AHP based risk assessment methodology for hazardous material transportation: an application in Istanbul. Environ Sci Pollut Res 28, 35798–35810 (2021). https://doi.org/10.1007/s11356-021-13223-y
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DOI: https://doi.org/10.1007/s11356-021-13223-y