The major roads and highways of large cities are often described as arteries and, as in a heart, there can be dire consequences when they become congested.
In Singapore, billions of dollars have been spent on public transport and more will be spent as the country continues to expand its Mass Rapid Transit (MRT) network. The nation is also expecting its population to reach 6.9 million people by 2030. With the stakes so high for the government and would-be commuters, it is essential city planners can predict when people travel, where they go and what transport they use.
DataSpark gathers location data from the Singtel network and analyses this information to gain comprehensive, but anonymous insights into commuters’ travel patterns and profiles. These insights help the government in its complex task of city planning by evaluating the potential impact of the MRT on traffic flow around the city. Data analytics strengthens the government’s ability to plan for the future, and help Singapore become a Smart Nation.
Case Study: