路边反馈机制对美国家庭回收绩效的影响

Akan Ime Ibokette, Enoch Joseph Aboi, Amina Catherine Ijiga, Solomon Ileanaju Ugbane, Michael Olumubo Odeyemi, Esther Ene Umama
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引用次数: 0

摘要

随着环境问题的不断加剧以及全球对无节制废物生产影响的认识不断加深,回收利用已成为可持续废物管理方法的重要组成部分。在美国,实施路边反馈机制已成为提高家庭回收绩效的一项渐进战略。本文探讨了美国最流行的四种反馈机制(污染警报/惩罚、智能垃圾箱、移动应用程序和奖励计划)、它们对回收绩效的影响(特别是对回收参与率、降低污染率和回收准确性的影响)、与接受和使用这些机制相关的挑战,以及旨在改进这些路边反馈机制功能的建议未来方向。全面的文献综述综合了重要期刊的研究成果,探讨了回收利用的现状、行为科学在回收利用中的作用,以及影响家庭回收利用绩效的因素,包括态度和观念、知识和意识、便利性和基础设施、社会规范和同伴影响等。报告深入分析了全美四种最常见的路边反馈机制。该方法确定了美国实施路边反馈机制的地理位置,并从相关利益攸关方收集数据。在引入路边反馈机制前后,对获得的数据进行分析,然后利用这些数据(定性和定量)来评估观察到的变化的意义。研究结果表明,装有传感器的智能垃圾箱在 6 个月内提高了 20%的参与率,垃圾车警告在 4 个月内提高了 15%的回收率,而垃圾车拒收在 3 个月内提高了 20%的参与率,装有教育模块的移动应用程序在 3 个月内提高了 25%的参与率,经济激励措施提高了 25%的回收率。研究结果还显示,推车警告在 6 个月内减少了 25% 的污染,而推车拒收在前 3 个月内减少了 30%;带传感器的智能垃圾桶在 6 个月内减少了 15%的污染率;带实时反馈的移动应用程序在 2 个月内减少了 15%的污染率;经济激励措施在 6 个月内减少了 15%的污染率。垃圾车警告在 4 个月内提高了 20% 的回收准确率,拒绝回收在 3 个月内提高了 25%,相比之下,拒绝回收比警告提高了 22%。实时监控的智能垃圾箱在 3 个月内提高了 15%,实时反馈的移动应用程序在 2 个月内提高了 15%,经济激励措施在 6 个月内提高了 15%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The impacts of curbside feedback mechanisms on recycling performance of households in the United States
As environmental issues continue to rise and global understanding of the effects of uncontrolled waste production grows, recycling has become an essential part of sustainable waste management methods. The implementation of curbside feedback mechanisms has emerged as a progressive strategy to enhance household recycling performance in the United States. This paper explores the four most popular types of feedback mechanisms (Contamination alerts/penalty, Smart Bins, Mobile Apps, and Incentive Programs) across the United States, their impacts on recycling performance (specifically on recycling participation, reduction in contamination rates, and recycling accuracy), the challenges associated with their acceptance and usage, and the recommended future directions aimed at improving the functionalities of these curbside feedback mechanisms. A comprehensive literature review synthesizes findings from important journals and examines the current state of recycling, the role of behavioral science in recycling, and the factors influencing household recycling performance which are attitude and perception, knowledge and awareness, convenience and infrastructure, social norms and peer influence, etc. It gives insights into the four most common types of curbside feedback mechanisms across the United States. The methodology identifies geographical locations in the US where the curbside feedback mechanism is implemented, and data are gathered from relevant stakeholders. The obtained data is analyzed before and after the introduction of curbside feedback mechanisms, and then these data (qualitative and quantitative) are used to assess the significance of observed changes. The findings showed that Smart Bins with sensors showed 20% increase in participation in 6 months, Cart warnings brought about 15% increase in recycling participation in 4 months while cart refusals produced 20% increase in participation in 3 months, Mobile App with education module showed 25% increase in participation in 3 months, financial incentives revealed 25% increase in recycling participation. The findings further showed Cart warnings showed 25% reduction in contamination in 6 months while cart refusals showed 30% reduction in the first 3 months, Smart bins with sensors showed 15% reduction in contamination rate in 6 months, Mobile App with real-time feedback showed 15% reduction in contamination rate in 2 months, financial incentives showed 15% reduction of contamination in 6 months. Cart warnings showed 20% improvement in recycling accuracy in 4 months, refusal showed 25% in 3 months, on comparison, refusal showed 22% better than warnings. Smart Bins with real-time monitoring showed 15% improvement in 3 months, Mobile App with real-time feedback showed 15% improvement in 2 months, and financial incentives showed 15% improvement in recycling accuracy in 6 months.
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