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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Mohmd Addad Shehadeh Al-Taani
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DOI:10.17265/1934-7359/2024.12.006
Architecture Department, Faculty of Engineering, Al al-Bayt University, Mafraq, 25113, Jordan
As cities worldwide face increasing energy demands and environmental sustainability challenges, the need for innovative solutions becomes more urgent. Smart cities, driven by advances in Artificial Intelligence (AI), offer promising avenues for enhancing energy efficiency, optimizing urban planning, and improving overall urban living conditions. This research explores how AI can be leveraged to develop energy-efficient smart cities by focusing on architectural and urban planning solutions that promote sustainable growth. The study includes a comprehensive literature review on the role of AI in managing energy consumption, optimizing transportation systems, and aiding urban planning efforts. A critical component of this research is the comparative analysis of case studies from both Jordan and international cities, such as Singapore, Barcelona, and Copenhagen, to evaluate the potential of AI-driven solutions in local contexts. This paper presents a case study applying an AI-driven smart city model to Amman, Jordan, where the city's urban infrastructure, energy management, and transportation systems are analyzed using AI-powered simulations. By integrating real-time data from IoT devices, geographic information systems (GIS), and digital twin technologies, the study simulates energy-saving interventions, improved traffic flow, and optimized urban designs. The research also compares the outcomes from Jordanian developments like Abdali Boulevard and Saraya Aqaba with international examples, revealing valuable insights into the progress and challenges of implementing smart city solutions in Jordan. Key outcomes include a reduction in energy consumption, carbon emissions, traffic congestion, and overall cost savings, demonstrating how AI can contribute to the sustainable development of modern cities. The findings from the case study provide a framework for the application of AI in other urban environments facing similar sustainability challenges, with a focus on enhancing local policy frameworks, infrastructure, and capacity to enable the successful integration of AI solutions.
Artificial intelligence, smart cities, energy efficiency, urban planning, sustainable architecture.
Journal of Civil Engineering and Architecture 18 (2024) 620-632 doi: 10.17265/1934-7359/2024.12.006
[1] Batty, M. 2018. Inventing Future Cities. MIT Press.
[2] International Energy Agency (IEA). 2020. World Energy Outlook 2020. IEA.
[3] Glaeser, E. 2011. The Triumph of the City: How Our Greatest Invention Makes Us Richer, Smarter, Greener, Healthier, and Happier. Penguin Books.
[4] Jia, M., Komeily, A., Wang, Y., and Srinivasan, R. S. 2019. “Adopting Internet of Things for the Development of Smart Buildings: A Review of Enabling Technologies and Applications.” Automation in Construction, 101, 111-126.
[5] Kensek, K. M., and Noble, D. 2014. Building Information Modeling: BIM in Current and Future Practice. John Wiley & Sons.
[6] Kitchin, R. 2014. The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences. Sage Publications.
[7] Thakur, D., and Singh, A. 2019. AI and smart cities: Artificial Intelligence for Smarter Cities. Springer.
[8] Townsend, A. M. 2013. Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia. W.W. Norton & Company.
[9] United Nations. 2019. World Urbanization Prospects: The 2018 Revision. United Nations.
[10] Zhang, Y., Sundramoorthy, V., Calvillo, C. F., et al. 2021. “Machine Learning for Smart City Energy Efficiency: A Review.” Journal of Cleaner Production, 293, 126189.
[11] King Hussein Business Park official website and project details.
[12] Abdali Boulevard development reports and sustainability case studies.
[13] Amman Bus Rapid Transit project documentation.
[14] Ministry of Water and Irrigation, Jordan – Smart metering initiative publications.