Airport Slot Allocation (ASA) is a multi-objective, multi-stakeholder decision process that aims to maximise airport capacity utilisation and mitigate delays. Existing ASA studies have considered objectives associated with the slot scheduling process per se without considering the implications of the alternative schedules, represented by the generated efficient frontier, on the operational delays, i.e., the delays that will be encountered when a selected airport schedule will be implemented. Furthermore, one notes the absence of an integrated methodology that incorporates the preferences of all ASA stakeholders/experts in selecting the most preferable airport schedule. This gap becomes more evident when considering the dearth of empirical data with respect to ASA scheduling performance metrics. The ASA framework proposed herein taps the above gaps by considering operational delays and eliciting airport slot schedules through the integration of multi-stakeholder preferences. Computational results using empirical preference data demonstrate the decision-support in determining the most preferable airport slot scheduling solution (or solutions) and its implications on expected delays.

机场起降时刻分配 (ASA) 是一个多目标、多利益相关者的决策过程，旨在最大限度地提高机场容量利用率并减少延误。现有的 ASA 研究已经考虑了与时隙调度过程本身相关的目标不考虑以生成的有效边界为代表的替代时间表对运行延误的影响，即在实施选定的机场时间表时将遇到的延误。此外，有人指出，在选择最可取的机场时刻表时，缺乏一种整合所有 ASA 利益相关者/专家偏好的综合方法。当考虑到缺乏与 ASA 调度性能指标相关的经验数据时，这种差距变得更加明显。本文提出的 ASA 框架通过考虑运营延误和通过整合多方利益相关者偏好得出机场时刻表来弥补上述差距。