Urban planning

Harnessing street view images, a new deep learning model could aid urban planners in expanding city-wide electric vehicle charging infrastructure.

A surge in Singapore’s bike-sharing usage during the COVID-19 pandemic highlights the importance of shared mobility modes during periods of restricted public transit.

Quantifying where and when communities use dockless bike-share systems could help operators and urban planners design more biking-friendly cities.

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

A new computer model of city dynamics could pave the way to planning sustainable urban areas