Freight vehicle parking has received increased attention from researchers and practitioners alike. A growing body of research focuses on parking practices for purposes of deliveries to street retail, its impacts and curb-side management strategies. However, little attention has been paid to deliveries to large urban freight traffic generators. In this setting, advances in demand management strategies are required. An experiment is used conducted to compare demand management strategies (DMS) with regards to their impact in reducing freight vehicle parking externalities. Selected DMS include changes to capacity/ pricing as well as services (centralized receiving) and ITS-enabled Infrastructure-to-Vehicle communication solutions (directed parking). The comparison leverages a simulation-based approach which integrates a data-driven dynamic parking-choice models and a supply simulation model representing various parking infrastructures and traffic impacts of queueing.