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Airport surface management is fundamentally a task requiring decision making under uncertainty. For example, there is uncertainty about when an aircraft will be ready to push back, how long it will take a departing flight to taxi to the departure runway queue and how long it will take an arriving flight to taxi to its gate from the arrival runway. As a result, managing traffic on the airport surface, and coordinating this surface movement with airspace constraints, is a risk management task. Decision support tools which provide better access to airport surface data and predictions, as well as access to NAS-Status data such as airspace constraints, will reduce but not eliminate uncertainty. Therefore, to be effective, tools designed to support surface management decisions regarding events such as those listed above must reason about the inherent uncertainty in these events and assist airport users in their decisions regarding aircraft surface operations.