Artificial Intelligence Based Methods for Smart and Sustainable Urban Planning: A Systematic Survey

The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review

“…AI encompasses a wide variety of models and technologies, including ML, DL, CV, NLP, Evolutionary Computing (EC), and robotics. These models have been applied to various urban planning and design functions [ [1] , [2] , [3] , [4] , [5] , [6] ] in the context of environmental sustainability in sustainable smart cities [ 7 , 8 , 21 , 22 , [24] , [27] , [66] , [67] ]. The integration of AI technologies into urban planning and design processes underscores the pivotal role of AI in advancing the development of sustainable smart cities.…”

“…The convergence of AI, AIoT, UDT, data-driven urban planning, and environmental sustainability has emerged as a critical frontier in the development of sustainable smart cities. In recent years, AI and AIoT have significantly transformed data-driven urban planning practices, as evidenced by notable research contributions in the field [ [1] , [2] , [3] , [4] , [5] , [6] ]. This integrated approach highlights the synergistic potential of AI and AIoT technologies in reshaping urban planning strategies to address complex environmental challenges.…”

Urban nature-based solutions planning for biodiversity outcomes: human, ecological, and artificial intelligence perspectives

“…advocates for planning support systems, whereas the second promotes generative design systems, which leverage computing to create innovative and efficient spatial designs (Koumetio Tekouabou et al, 2023). The perspective of generative design systems takes into account the advancements in computational capabilities and data accessibility.…”

“…1). A novel approach in urban planning, known as the Smart Design Framework, is thus gaining prominence (Koumetio Tekouabou et al, 2023), where AI-based methodologies are used to support and advance (in most cases to speed up), the urban design process. AI is becoming a key approach for addressing realworld challenges in NBS planning.…”

“…Even the most advanced models nowadays are not capable of incorporating all the human-centric considerations (e.g., history of the space, shifting community interests, etc., -Coyne et al, 2020;Naserisafavi et al, 2022), and ecological considerations are even less promoted. However, with the rapid and recent advancement in Artificial Intelligence (AI) technology, we are starting to incorporate AI techniques in decision-making where multicriteria decisions are not easily balanced by our own experiences (Koumetio Tekouabou et al, 2023). With the increased amount of data worldwide and the expense of AI capabilities, there is a question of how we can best leverage AI (particularly machine learning) to create integrated NBS solutions for coexistence between humans, animals, and plants.…”