Future cities demand smart and equitable infrastructure resilience modeling perspectives

This study proposes a perspective shift-one capable of handling uncertain and dynamic conditions, leveraging emerging observations from smart systems, and guided by demands for social equity. This shift requires collective efforts, but future cities demand and deserve it. Risk-informed decisions that promote infrastructure resilience (or the ability to withstand, recover from, and adapt to stressors like natural hazards) require confident predictions of system performance now and into the future.

Emphasizing intelligence and equity in infrastructure resilience modeling is crucial as systems become smarter and investments aim for justice. Leveraging AI and machine learning enhances models and ensures equitable disaster resilience. Reducing data and model bias through efficient, needs-informed data collection is essential to support just infrastructure transformations. This necessary shift demands collective effort and investment for the benefit of future cities.