City administrators are facing an increasingly complex task of building safer and more efficient urban environments. Modern urban landscapes pose dynamic challenges such as traffic congestion, utilities management, and population growth. In such a complicated and active domain, the solutions that are needed to address these challenges require flexibility and interoperability at their core.

GIS has historically been used for city planning, leveraging spatial data science to improve decision making. With the continued growth in Digital Twin and AI capabilities, these technologies are increasingly being used to integrate GIS solutions offering planners and administrators a broader toolset.

Urban and city planners traditionally need to be able to address complex tasks, such as:

• Identifying problems
• Managing and responding to events
• Setting priorities
• Monitoring change
• Perform forecasting
• Understanding trends