Design and evaluate a community-based urban waste recycling program

Thesis Abstract

Urban solid waste management remains a pressing challenge in rapidly expanding cities, where inadequate disposal systems contribute to environmental degradation, public health risks, and resource wastage. Despite the increasing generation of waste, community participation in recycling initiatives remains low, largely due to insufficient awareness, lack of organizational frameworks, and socio-economic barriers. This study addresses the need for a sustainable, community-based approach to urban waste recycling that fosters active citizen involvement, promotes environmentally responsible behaviors, and enhances resource recovery. The primary aim is to design an effective community-based waste recycling program and evaluate its socio-economic and environmental impacts within a Metropolitan City with a population of approximately 2 million residents. The specific objectives include (1) to assess the baseline knowledge, attitudes, and practices (KAP) towards waste recycling among residents; (2) to develop a participatory recycling framework tailored to community needs; (3) to implement the designed program in selected neighborhoods; and (4) to evaluate the program’s effectiveness in improving recycling rates, community engagement, and environmental outcomes. The research questions focus on understanding residents' KAP levels, identifying barriers and motivators for recycling, measuring changes post-intervention, and determining the program’s sustainability potential. Hypotheses are formulated to examine the relationships between community participation levels and recycling outcomes, as well as the influence of socio-demographic factors on program success. A mixed-methods research design underpins the investigation, integrating quantitative surveys and qualitative focus group discussions. The study adopts the Theory of Planned Behavior and the Social Capital Theory as theoretical frameworks to explore behavioral determinants and community cohesion factors influencing recycling behaviors. The population comprises residents across five diverse neighborhoods within the city, with a sample size of 600 households selected through stratified random sampling to ensure representativeness. Data collection instruments include structured questionnaires for KAP assessment, interview guides for focus groups, and observation checklists during program implementation. Validity and reliability of instruments are established through pilot testing and Cronbach’s alpha; data quality is further enhanced by triangulation. Quantitative data will be subjected to descriptive statistics, chi-square tests, and multiple regression analysis to identify predictors of recycling behavior, while thematic analysis will be applied to qualitative data to uncover underlying motivations, perceptions, and socio-cultural dynamics. Program effectiveness is evaluated through pre-and post-intervention comparisons using paired t-tests and ANOVA to assess changes in recycling rates and community attitudes. Ethical considerations include obtaining informed consent, ensuring confidentiality, and securing approval from the university’s ethics review board. The anticipated findings suggest that targeted community engagement and tailored educational interventions will significantly increase recycling participation, positively influence attitudes, and lead to measurable environmental benefits such as reduction in waste sent to landfills and increased recovery of recyclable materials. The study is expected to reveal critical socio-cultural factors influencing participation, providing insights into how social capital and behavioral intentions mediate recycling outcomes. The contribution to knowledge lies in the integration of community participation models with solid waste management frameworks, providing a replicable blueprint for urban waste recycling programs in similar settings. The main conclusion emphasizes that community-based recycling initiatives, when well-designed and contextually adapted, can serve as sustainable solutions to urban waste challenges. Recommendations include policy support for community-led programs, capacity-building workshops, and continuous monitoring mechanisms. The study further advocates for integrating behavioral theories into waste management planning to foster long-term behavioral change. Suggestions for future research involve longitudinal studies to assess scalability, cost-benefit analyses, and exploration of technological innovations to enhance community recycling efforts, thereby contributing to the broader field of sustainable urban environmental management.