Urban Planning. Coverage model for public centers

Big Data solution that predicts future demands of public services and prescribes the best locations for public centers and facilities: schools, primary healthcare centers, hospitals, city information offices, facilities, etc.

Big Data solution that predicts future demands of public services and prescribes the best locations for public centers and facilities: schools, primary healthcare centers, hospitals, police stations, city information offices, facilities, etc.

Bismart’s predictive solutions help governments in urban planning and forecasting the annual budget.

Bismart Artificial Intelligence follows this methodology: Studying the current offer on services and public centers, Studying current services demands, Forecasting future needs based on socio demographical tendencies, Designing the mathematical model to optimize the location of new public centers.

The Machine Learning Coverage model methodology:

  • Analyzing current centers and services.
  • Studying current service demand.
  • Forecasting future needs based on socio demographical evolution.

Designing the mathematical model which optimizes the location of new centers.

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