Cities of the future must brace for the impacts of climate change. Here’s how an integrated environmental modeling tool developed by A*STAR is helping Singapore’s urban planners rise to the challenge.
Simulating building-cooling louvers need not be computationally expensive, say A*STAR researchers.
A machine-learning program uses land-use and amenities data to predict public transport use in Singapore
A*STAR researchers are designing a data-exchange platform that can act as a city’s dashboard
A computer model that can replicate the growth of cities has valuable implications for urban planning and sustainability