Urban engineers face challenges in planning new developments due to a lack of prior information about resources, infrastructure, and energy options. This results in extended project timelines and frequent rejections by municipalities, leading to increased construction and development times and escalating operation and maintenance costs over time.
To address these challenges, a new project has been developed that utilizes AI and self-learning capabilities to create real-time data collection and a dynamically updated energy map of the city. This innovation aims to provide urban engineers with better insights and information to optimize their planning processes and reduce costs.
The Weitz Center for Sustainable Development’s director of sustainability projects emphasizes the importance of real-time data collection in urban planning. The software being developed will offer a cost-effective and efficient solution for municipalities, ultimately reducing construction timelines and carbon footprints.
This groundbreaking project will be introduced at the MUNI-EXPO 2024 conference, showcasing innovative solutions for urban development. The Weitz Center will also invite local authorities to participate in building the software for energy mapping their cities, with the software’s value estimated at approximately one million shekels and provided at no cost to the winning municipality.
Overall, this initiative aims to revolutionize urban planning processes and sustainability efforts, paving the way for a more efficient and environmentally-friendly urban future.
