Predict the need for public infrastructure such as roads, schools or hospitals based on population growth and area density. By mapping the current distribution of facilities and analyzing demographic data such as age and migration rates, it identifies areas that lack services and provides recommendations for the construction of new facilities to support the balanced development of the city.

Evaluate the equity of access to public services such as education and health across different regions. Utilizing socio-economic data such as income and education levels, the analysis identifies gaps in access, especially in remote areas, and provides recommendations for redistribution of resources to create greater social equity.

Determining areas with high disaster risk such as floods or earthquakes for mitigation planning. By mapping disaster-prone zones and analyzing demographic data such as density and vulnerable age groups, the analysis provides recommendations for evacuation strategies and infrastructure strengthening to improve city resilience.

Optimize public transportation systems by studying population mobility patterns. By mapping existing routes and analyzing demographic data such as employment and density, the analysis identifies congestion points and provides recommendations for new lines or schedule adjustments to improve the city's transportation efficiency.