%0 Journal Article %1 akan_ime_ibokette_2024_11297225 %A Ibokette, Akan Ime %A Aboi, Enoch Joseph %A Ijiga, Amina Catherine %A Ugbane, Solomon Ileanaju %A Odeyemi, Michael Olumubo %A Umama, Esther Ene %D 2024 %J World Journal of Biology Pharmacy and Health Sciences %K Impacts %N 2 %P 366–386 %R 10.30574/wjbphs.2024.17.2.0102 %T The impacts of curbside feedback mechanisms on recycling performance of households in the United States %U https://wjbphs.com/content/impacts-curbside-feedback-mechanisms-recycling-performance-households-united-states %V 17 %X 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.

@article{akan_ime_ibokette_2024_11297225, abstract = {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.}, added-at = {2024-06-06T06:17:06.000+0200}, author = {Ibokette, Akan Ime and Aboi, Enoch Joseph and Ijiga, Amina Catherine and Ugbane, Solomon Ileanaju and Odeyemi, Michael Olumubo and Umama, Esther Ene}, biburl = {https://www.bibsonomy.org/bibtex/21cb8c35e0fd7230d6e350aa379a297d0/wjbphsjournal}, doi = {10.30574/wjbphs.2024.17.2.0102}, interhash = {1c029b8a77b5d6a79ad849c5d20cf3a6}, intrahash = {1cb8c35e0fd7230d6e350aa379a297d0}, issn = {2582-5542}, journal = {{World Journal of Biology Pharmacy and Health Sciences}}, keywords = {Impacts}, month = may, number = 2, pages = {366–386}, timestamp = {2024-06-06T06:17:06.000+0200}, title = {The impacts of curbside feedback mechanisms on recycling performance of households in the United States}, url = {https://wjbphs.com/content/impacts-curbside-feedback-mechanisms-recycling-performance-households-united-states}, volume = 17, year = 2024 }