Assessing the Effect of Citizens' Behaviour in Textile Waste Separate Collection: An Agent-based Simulation Model

The purpose of this research is to analyse the impact of citizens' behaviours on the efficiency of textile waste separate collection systems within the framework of a circular economy. Using AnyLogic software, we model a municipal district where citizens might or not dispose of used clothes in designated roadside bins. The simulation explores two main aspects: the impact of citizens' behaviours and their mutual influence on system performance, as well as how service levels affect behaviour modification. Key findings reveal that citizen interactions significantly influence the system's efficiency, with higher bin and truck capacities leading to improved outcomes. However, a lack of environmental awareness among citizens adversely impacts the system. This study's novel contribution lies in demonstrating that mutual influence among citizens is a critical factor for an effective textile waste separate collection system. The value of this work is underscored by its alignment with EU Strategies for Sustainable and Circular Textiles, emphasizing the crucial importance of separate collection for achieving circularity in the textile industry. Policymakers and waste collectors should promote sustainable behaviours to optimize service performance and environmental benefits, ensuring compliance with upcoming EU regulations aimed at fostering a circular economy.