AI- and GIS-driven product service systems advance sustainable development in dense urban areas

The United Nations (UN) has taken an active role in using and integrating artificial intelligence (AI) with Geographic Information Systems (GIS) to grow its United Nations Sustainable Development Goals (UN SDGs). Among these are Goal 4, Quality Education; Goal 11, Sustainable Cities and Communities; Goal 12, Responsible Consumption and Production; Goal 13, Climate Change. This study explores sustainable furniture for the public space (locale that allows democratic opinion, discussion, and participation) and public spaces (physical locations such as streets, parks, and squares). AI (Hektar pro) and GIS can help assess urban futures using simulations and prototypes to foresee viable solutions to challenges such as climate change, renewable energy resources, social inequality, and community involvement. Several typologies of buildings and landscapes were presented to facilitate in constructive communication, reflection, and the visualization of potential urban solutions among participants. The interconnected bridges and urban furniture network is approached as an open-ended sustainable product-service system and a futuristic overview of social interaction, rather than a finished object completed at the manufacturing time. This structure can be interpreted in various ways regarding energy use in the public spaces of densely populated cities. Energy-wise projections were based on PV WATTS simulation software, providing a reliable and accurate estimation of solar energy production. The study claims that implementing of AI and GIS simulations may double the perception of functional public spaces and improve energy generation in dense urban cities. When properly calculated and implemented in residential areas and on a city scale, simulations can save significant amounts of user consumption.