A Multi-Criteria Decision-Making Approach to Enhancing Border Security Against Irregular Migration
No Thumbnail Available
Date
2025-12
Authors
Abdulvahitoğlu, Adnan
Güçlüten, Çağrı
Tunca, Hakan Ömer
Journal Title
Journal ISSN
Volume Title
Publisher
Manisa Celal Bayar Üniversitesi
Abstract
International migration has become a fundamental phenomenon shaping social, political, and economic structures in the globalized world. The increase in human mobility is directly linked to the strengthening of global connections in areas such as economy, technology, culture, and education. Since the Second World War, poverty, unemployment, and political oppression have driven individuals toward countries offering better living conditions. The European Union (EU) member states and the United States are among the primary destinations for migration. The recent surge in irregular migration has led these countries to adopt stricter and more protectionist policies. Located along the EU’s transit route, Türkiye is a strategic actor in border security, with the prevention of irregular migration constituting a key policy objective. This study employs the Stepwise Weight Assessment Ratio Analysis (SWARA) method to evaluate border security systems and identify priority measures. Based on the assessments of nine experts with an average of 15 years of field experience, the three most critical components were identified as border patrol activities, the use of unmanned aerial vehicles, and internal security patrols in border provinces. The findings provide a concrete roadmap for policymakers in terms of resource allocation, operational planning, and technological investment.
Description
Ulusal
Keywords
Border Security , Irregular Migration , Border Security Systems , MCDM , SWARA
Citation
Abdulvahitoğlu, A., Güçlüten, Ç., & Tunca, H. Ö. (2025). A Multi-Criteria Decision-Making Approach to Enhancing Border Security Against Irregular Migration. Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 23(4), 379-396. https://doi.org/10.18026/cbayarsos.1733657
