Gbran & Alzamil International Journal on Emerging Technologies 16(1): 14-29(2025) 14 International Journal on Emerging Technologies 16(1): 14-29(2025) ISSN No. (Print): 0975-8364 ISSN No. (Online): 2249-3255 Integrated Waste Management in Smart Cities: A Case Study of Circular Economy Solutions in Msheireb Downtown Doha Hassan Gbran 1* and K. Waleed Alzamil 2 1 Ph.D. Scholar, Department of Architecture and ubran planning, UNDIP, Semarang, Indonesia. 2 Associate Professor, Department of Urban Planning, King Saud University, Saudi Arabia. (Corresponding author: Hassan Gbran*) (Received 25 September 2024, Revised 16 November 2024, Accepted 11 December 2024) (Published by Research Trend, Website: www.researchtrend.net) ABSTRACT: 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. Keywords: Smart Waste Management, Circular Economy, Internet of Things (IoT), Sustainable Urban Development, Msheireb Downtown Doha. Abbreviations: AI - Artificial Intelligence, IoT - Internet of Things, GIS - Geographic Information Systems, PPP - Public-Private Partnerships, RSU - Road-Side Unit, GDMA - Google Distance Matrix API, CPS - Cyber-Physical Systems, WLAN - Wireless Local Area Network. INTRODUCTION Rapid urbanization and population growth have significantly increased waste generation in cities, presenting unprecedented challenges for traditional waste management systems (Szpilko et al., 2023). These conventional systems, primarily focused on collection and disposal, fail to address sustainability concerns such as resource recovery and environmental preservation (Fayomi et al., 2021). For example, cities like Jakarta and Lagos grapple with overflowing landfills and environmental degradation, highlighting the limitations of existing methods. Smart cities, by contrast, leverage advanced technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and Geographic Information Systems (GIS) to revolutionize waste management (Zhang et al., 2019). Examples include Barcelona, which employs IoT sensors for real-time waste monitoring, and Singapore, where AI-driven sorting systems enhance recycling rates see Fig. 1. Similarly, Jalandhar city achieved significant progress by integrating monitoring technologies and fostering community participation, offering a scalable model for other urban areas (Fayomi et al., 2021). However, many cities, such as Nairobi, face hurdles like insufficient infrastructure and ineffective policy frameworks, necessitating adaptable and sustainable models. These barriers underscore the importance of integrating advanced technologies with circular economy principles to achieve long-term waste management solutions (Sutikno et al., 2024). Research Problem: Despite the potential of smart technologies and circular economy principles, outdated practices remain prevalent, neglecting key strategies like reducing, reusing, and recycling materials. This oversight exacerbates environmental harm and resource depletion (Alsharif & Alzamil 2019). Cities like Mumbai and Cairo continue to struggle with waste mismanagement, leading to public health risks and ecological damage. e t