The demand for transport without agglomerations in many cities has increased lately to avoid infections of COVID19. Therefore, this research is focused on a mathematical model for a cycling network minimizing the distances of cycle paths and maximizing the factors that are more important for citizens of Lima using linear programming and analytics.
