Pythagorean fuzzy AHP based risk assessment methodology for hazardous material transportation: an application in Istanbul

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....

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Bibliographic Details
Published in:Environmental science and pollution research international 2021-07, Vol.28 (27), p.35798-35810
Main Authors: Ayyildiz, Ertugrul, Taskin Gumus, Alev
Format: Article
Language:English
Subjects:
Analytic hierarchy process
Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Decision analysis
Decision making
Delphi method
Earth and Environmental Science
Ecotoxicology
Environment
Environmental Chemistry
Environmental Health
Environmental science
Evaluation
Fuzzy Logic
Hazardous materials
Hazardous Substances
Research Article
Risk analysis
Risk Assessment
Risk Factors
Risk reduction
Robustness (mathematics)
Sensitivity analysis
Structural hierarchy
Transportation
Waste Water Technology
Water Management
Water Pollution Control
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Summary: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.
ISSN:0944-1344
1614-7499
DOI:10.1007/s11356-021-13223-y