The increasing environmental crisis has made the issue of plastic waste a major topic in global discourse. Although many studies have investigated broader aspects of sustainability, few have investigated the specific behavioral patterns that lead individuals to make environmentally conscious decisions, such as refusing to use plastic bags. This study aims to fill the research gap by identifying the main behavioral patterns that influence the decision to refuse the use of plastic bags. To methodically achieve this goal, this research uses the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework as its guiding analytical paradigm. Data was collected through a carefully designed questionnaire, involving a sample size of 268 respondents. The decision tree algorithm was applied to the data, allowing detailed exploration of behavioral patterns that significantly contribute to plastic bag use aversion. Preliminary findings reveal the interaction of behavior, attitude and actions factors that collectively guide individuals in making sustainable choices. These insights not only contribute to the existing literature but also offer actionable avenues for future policy interventions.

中文翻译：

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识别影响拒绝塑料袋决策的关键行为模式

日益严重的环境危机使塑料垃圾问题成为全球讨论的主要话题。尽管许多研究调查了可持续性的更广泛方面，但很少有人调查导致个人做出环保决策的具体行为模式，例如拒绝使用塑料袋。这项研究旨在通过确定影响拒绝使用塑料袋决定的主要行为模式来填补研究空白​​。为了系统地实现这一目标，本研究使用 CRISP-DM（数据挖掘跨行业标准流程）框架作为指导分析范式。数据是通过精心设计的调查问卷收集的，样本量为 268 名受访者。决策树算法应用于数据，可以详细探索显着促成塑料袋使用厌恶的行为模式。初步研究结果揭示了行为、态度和行动因素的相互作用，共同指导个人做出可持续的选择。这些见解不仅对现有文献有所贡献，而且还为未来的政策干预提供了可行的途径。