Abstract: Urban freight systems are essential to economic activity but contribute disproportionately to congestion, safety risks, and infrastructure strain. As demand for last-mile delivery continues to rise, micromobility solutions—such as cargo bikes and e-scooters—offer a promising alternative to traditional delivery vehicles. This study develops a scalable framework for integrating micromobility into urban freight systems, with a focus on mixed-density environments where demand and infrastructure vary significantly. Building on prior work, a MATSim-based agent-based simulation model is developed to evaluate the operational performance of micromobility strategies in a Pacific Northwest case study. The framework explores key factors influencing adoption, including network conditions and delivery demand patterns. Results are expected to provide insights into system efficiency, cost implications, and safety outcomes compared to conventional delivery methods. The findings will inform policymakers and industry stakeholders on the viability of scaling micromobility for last-mile logistics, supporting more efficient, sustainable, and resilient urban freight systems.