EXAMINING THE ROLE OF ARTIFICIAL INTELLIGENCE IN URBAN WASTE MANAGEMENT SYSTEMS: A CASE STUDY OF JOS WASTE DISPOSAL AUTHORITY, PLATEAU STATE
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Background of the Study
Urban waste management is a pressing challenge in many cities worldwide, including Jos, Plateau State. Rapid population growth, urbanization, and inadequate waste disposal systems have resulted in poor sanitation, environmental degradation, and public health risks. Traditional waste management methods in Jos, such as manual collection and landfilling, are often inefficient and unsustainable. These challenges necessitate the adoption of innovative solutions to optimize waste management processes and reduce environmental impacts.
Artificial Intelligence (AI) has shown promise in transforming urban waste management systems by introducing efficiency and scalability. AI-powered tools, including image recognition, predictive analytics, and optimization algorithms, can automate waste sorting, predict waste generation patterns, and improve resource allocation. Smart sensors integrated with AI systems can monitor waste levels in real-time, enabling dynamic scheduling of collection routes and reducing operational costs. Furthermore, AI applications promote recycling by efficiently categorizing and redirecting recyclable materials, contributing to circular economy initiatives.
This study evaluates the role of AI in urban waste management in Jos, focusing on its implementation by the Jos Waste Disposal Authority. It explores the benefits, challenges, and potential of AI technologies in addressing urban waste management issues in Plateau State.
Statement of the Problem
Jos faces significant urban waste management challenges due to inefficient collection systems, inadequate infrastructure, and a lack of recycling initiatives. These issues result in unsightly waste accumulation, environmental pollution, and health risks for residents. Traditional approaches to waste management have proven insufficient to meet the demands of a growing urban population.
AI offers a transformative solution by automating and optimizing various aspects of waste management. However, its adoption in Jos remains limited, hindered by financial, technical, and infrastructural barriers. This study examines the role of AI in improving waste management practices in Jos, Plateau State, focusing on its effectiveness and scalability.
Aim and Objectives of the Study
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To assess the effectiveness of AI technologies in urban waste management systems in Jos.
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To identify challenges to the implementation of AI-driven solutions in waste management.
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To evaluate the economic and environmental impacts of adopting AI in waste management practices.
Research Questions
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How effective are AI technologies in enhancing urban waste management systems in Jos?
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What are the challenges and benefits of implementing AI in urban waste management?
Research Hypotheses
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AI technologies significantly improve the efficiency of urban waste management in Jos.
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Financial and technical barriers limit the adoption of AI-driven waste management solutions.
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AI applications in waste management reduce environmental impacts and operational costs.
Significance of the Study
This study explores the transformative potential of AI in addressing waste management challenges in Jos, Plateau State. By providing evidence-based recommendations, it supports policymakers, urban planners, and waste management authorities in adopting AI technologies to enhance efficiency and sustainability. The findings aim to improve urban sanitation and environmental health.
Scope and Limitation of the Study
The study focuses on the application of AI in urban waste management by the Jos Waste Disposal Authority. It excludes waste management practices in rural areas and non-AI approaches. The research may be constrained by data availability, financial considerations, and the readiness of stakeholders to adopt advanced technologies.
Definition of Terms
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Artificial Intelligence (AI): Computational systems used to analyze data, automate processes, and make predictions.
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Urban Waste Management: The collection, transportation, processing, and disposal of waste generated in urban areas.
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Recycling: The process of converting waste materials into reusable forms.
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Circular Economy: An economic model focused on sustainability by minimizing waste and maximizing resource efficiency.
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