Artificial Intelligence on Civil and Environmental Processes for Sustainable Urban System

Urban areas are very fragile for sustainable development. In this regard, this review article aims to examine how artificial intelligence (AI) can be integrated with the skills of civil and environmental engineers to make the process more efficient for smart urbanization for future generations. Prior to sustainable urban planning, several requirements must be met, including adequate political will, institutional capacity, pertinent laws or regulations, accurate and up-to-date maps, basic data and information availability, mechanisms for civil society and public participation, creative ways to increase the visibility and voice of women and youth, clearly defined roles of public and private sectors, and plans tailored to local conditions. Without AI, civil and environmental engineers who construct and implement urban planning are unable to provide a clear future vision. AI can reduce traffic jams and lower emissions, enhance safety and reduce human errors, prevent failures and extend infrastructure’s lifespan, improve efficiency and reliability of services, ensure public health and safety, increase efficiency and reduce environmental impact by increasing recycling rates, and reduce landfill of water reservoirs for sustainable urban systems. AI also has the capacity to completely transform urban administration for energy-efficient building design and intelligent material selection, promoting creative, long-term answers to urban problems.