Evaluating the drivers behind the adoption of end-of-life vehicle management systems in Bangladesh: an intuitionistic fuzzy analytics approach

A growing number of nations are becoming increasingly concerned about the sustainable management of end of life (EoL) vehicles because of accelerated industrialization, rising ownership of vehicles, and potentially dangerous environmental effects of inappropriate disposal. Lack of a comprehensive management system exacerbates resource waste and environmental deterioration in emerging nations like Bangladesh, where the automotive sector is growing quickly and vehicle ownership is rising. As a result, to determine, rank, and evaluate the connections between the drivers influencing the adoption of EoL vehicle management systems in Bangladesh, this study suggests a framework that combines Interval Valued Type 2 Intuitionistic Fuzzy (IVT2IF) with Weighted Influence Non-linear Gauge System (WINGS). After a detailed review of the literature and specialist validation, 19 key drivers were identified for assessment within this framework. The results show that “Development of recycling infrastructure,” “Improvement in reverse logistics systems,” and “Strengthening the role of local governments” are the most influential drivers, with total engagement values of 0.1286, 0.1251, and 0.1218, respectively. In addition, “Strengthening the role of local governments” emerged as the strongest causal driver (0.0086), followed by “Adoption of the polluter pays principle for vehicle disposal” (0.0079) and “Incentives for recycling and reuse” (0.0055). These outcomes offer valuable guidance for policymakers and industry stakeholders in Bangladesh and may also inform comparable South Asian emerging economies, provided that the framework is recalibrated to reflect local institutional, economic, and regulatory conditions.