ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, cilt.2024, ss.0-19, 2024 (SCI-Expanded)
Coastal regions, integral to human economic and social frameworks, face
increasing threats from disasters and climate change. This situation has
made it necessary and a priority to study these areas at an
international level. To be able to take precautions, protect, and manage
coastal areas, it is essential to identify their coastal vulnerability.
In this study, a coastal vulnerability analysis was conducted using
best–worst method (BWM) in the Marmara Gulf Region, Türkiye. Moreover,
comparison was made with the analytic hierarchy process (AHP) method in
the subject of assessment of coastal vulnerability. According to the
vulnerability map obtained with AHP, 17% of the region was determined to
have a moderate vulnerability risk, 54% had a high risk, and 29% had a
very high risk. On the other hand, the analysis results in BWM
calculated the vulnerability percentages as follows: 18% moderate
vulnerability, 57% high vulnerability, and 25% very high vulnerability.
Visual and statistical comparisons revealed that the BWM method provides
more consistent results and involves fewer pairwise comparisons than
the AHP method. Thus, it offers ease of use and convenience to decision
maker while maintaining relatively same level of weights for criteria.
This study aims to lay the foundation for a dynamic system designed to
assess coastal vulnerability, emphasizing usability for policymakers in
decision-making and flexibility across various scenarios. Particularly,
the adoption of the BWM provides notable benefits due to its direct
approach and ability to yield more uniform and dependable evaluations,
thereby efficiently addressing intricate decision-making challenges