[2] SLA began developing a 3D national map in 2012 to help the country make better use of its limited land and identify areas at risk of flooding.

A vehicle-based mobile mapping survey of the nation's 5500 kilometer road network was done to acquire more than three million photos, as well as build extremely detailed 3D models of the congested urban highway system.

Bentley Systems' MicroStation's quickest data gathering and manipulation capabilities were employed to achieve a modeling accuracy of 0.3 metres and save over 3000 resource days and related expenditures.

The three-dimensional digital twin allows these professionals to visualize the cityscape in intricate detail, experiment with different architectural and infrastructure scenarios, and assess the potential impact of proposed changes on the urban environment.

By virtually constructing and testing these elements before implementation, planners can optimize designs, anticipate challenges, and make informed decisions to enhance the overall efficiency and sustainability of the city's infrastructure.

By understanding how the city might be affected under different conditions, emergency response plans can be refined, and resilience strategies can be developed to mitigate the impact of potential disasters.

The data gathered helps in formulating strategies for sustainable development, minimizing environmental impact, and fostering a healthier living environment for the city's residents.

By integrating technologies like the Internet of things (IoT) and data analysis, Virtual Singapore supports the deployment of smart city solutions.

Virtual Singapore captures a large amount of data, which can help planners learn and share lessons about construction and infrastructure before they become expensive urban planning problems.

Virtual Singapore can be used for flood risk analysis, opportunities for solar panels and green roofs, and examining the impact of wind load on vegetation.