We aim to build a platform called Urban Engine, which uses algorithm-based analyses of historical data and geolocations at building resolutions covering an entire city. The tool aims to provide solutions for decision-making for existing and future infrastructure. To develop the tool, we used a data-intensive mixed-method approach.

The simulated Urban Engine model will provide detailed insights into a city's infrastructure. Furthermore, it will provide sustainable and smart solutions for existing and future infrastructure to plan their business purpose, using fact-based analyses to predict decisions of the businesses before it starts. It will take into consideration the wide range of solutions available and provide alternative solutions and expected results. It will also help calculate the sustainability scoring of every building and neighbourhood, and predict changes in the scoring if new businesses are established in the neighbourhood.