Agent-Based Insight into Eco-Choices: Simulating the Fast Fashion Shift
Daria Soboleva, Angel S\'anchez

TL;DR
This study uses agent-based modeling to analyze consumer behavior in fast fashion, highlighting the impact of government policies, social media, and public opinion shifts on reducing environmental harm.
Contribution
It introduces an agent-based simulation framework to explore how awareness and interventions influence fast fashion consumption patterns.
Findings
Government interventions are crucial for change.
Social media amplifies the effect of campaigns.
Excessive interventions have diminishing returns.
Abstract
Fashion is a powerful force in the modern world. It is one of the most accessible means of self-expression, thereby playing a significant role in our society. Yet, it is plagued by well-documented issues of waste and human rights abuses. Fast fashion in particular, characterized by its disposable nature, contributes extensively to environmental degradation and CO emissions, surpassing the combined outputs of France, Germany, and the UK, but its economic contributions have somewhat shielded it from criticism. In this paper, we examine the demand for fast fashion, with a focus on Spain. We explore the individual decision-making process involved in choosing to buy fast fashion and the role of awareness regarding working conditions, environmental consequences, and education on sustainable fashion in influencing consumer behavior. By employing Agent-Based Modeling, we investigate the…
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Taxonomy
TopicsInnovation Diffusion and Forecasting
