Developed and enhanced a Trip Generation User Defined Function (UDF) for Lima within the fusedio/udfs repository, enabling scalable urban travel-demand modeling. Leveraging Python, GeoPandas, and OSMnx, the UDF constructs a transit graph from OpenStreetMap data, imputes travel speeds, and computes edge travel times. The solution is fully parameterized, allowing users to specify area, start and end hours, and trip count for flexible scenario analysis. Stability improvements included dynamic time parameters and input validation to handle empty DataFrames, reducing runtime errors. This work strengthened the robustness and reproducibility of urban planning simulations and geospatial data engineering workflows.