Integrated Waste Management in Smart Cities: A Case Study of Circular Economy Solutions in Msheireb Downtown Doha
This research explores integrated waste management in smart cities, focusing on Msheireb Downtown Doha as a case study. The study applies circular economy principles alongside advanced technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and Geographic Information Systems (GIS). It aims to enhance waste management efficiency, reduce environmental impact, and improve resource recovery. By combining quantitative data from surveys with qualitative insights from interviews, the research finds that adopting circular economy practices, like recycling and resource recovery, significantly reduces waste generation and increases landfill diversion. Additionally, integrating smart technologies, such as IoT-enabled waste monitoring and AI-powered route optimization, improves collection efficiency by up to 25. The study faced challenges in understanding the role played by waste management systems in smart cities and bridging the gap within the current system in cities. These challenges persist, including high initial costs, limited public awareness, and resistance to technological adoption. The study highlights the importance of collaboration between governments, private companies, and citizens to overcome these barriers. It provides actionable recommendations for urban planners and policymakers, offering a scalable framework adaptable to other cities worldwide. By bridging theoretical frameworks with real-world applications, the research provides an innovative perspective on sustainable urban development. This research contributes to global discussions on smart waste management systems, demonstrating how technology and circular economy solutions can transform waste management in modern cities.
تهدف هذه الورقة إلى مراجعة منهج الإحياء العمراني لمراكز المدن التاريخية استناداً إلى تحليل حالة لحي الدحو بمدينة الرياض، وهو أحد الأحياء التراثية التي شهدت مشروع تطوير عمراني واسع النطاق. استخدمت…
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