The City of Abu Dhabi faced a challenge: its primary transport model, focused on cars, used large analytical zones that could not accurately capture short trips by bikes or scooters. To make data-driven decisions on new cycle paths and walking routes, the city needed a way to forecast micromobility demand and encourage a vital shift from car use. To solve this, citiME Consultancy LLC utilized Bentley OpenPaths CUBE to develop an automated Local Area Model (LAM). This solution automatically created high-resolution zones and built dedicated networks for cycling and walking routes. Crucially, it incorporated an advanced route choice model, allowing planners to test the impact of policies (e.g., car parking restrictions) to determine the potential shift to active travel. This automation made planning significantly more efficient and evidence-based. The enhanced model is now the foundation for Abu Dhabi’s sustainable planning, directly supporting SDG 11 (Sustainable Cities and Communities): it enables the planning of safe, attractive routes, actively promoting exercise and a shift to active travel modes. It generates data for environmental and cost-benefit analyses, allowing the city to forecast and maximize CO2 reduction and justify sustainable investments. The automated scenario comparison makes decision-making faster and leads to better, more equitable infrastructure planning. The project ensures every new piece of active transport infrastructure is grounded in accurate data, leading to a healthier, more sustainable urban environment.