A review of models and model usage scenarios for an airport complex system
Airports represent the epitome of complex systems with multiple stakeholders, multiple jurisdictions and complex interactions between many actors. The large number of existing models that capture different aspects of the airport are a testament to this. However, these existing models do not consider in a systematic sense modelling requirements nor how stakeholders such as airport operators or airlines would make use of these models. This can detrimentally impact on the verification and validation of models and makes the development of extensible and reusable modelling tools difficult.
This paper reviews existing airport terminal passenger models. It uses a Concept of Operations (CONOPS) methodology to help structure the review of existing modelling capabilities and usage scenarios. It is found that existing models can be broadly categorised according to four usage scenarios: capacity planning, operational planning and design, security policy and planning, and airport performance review. The models, the performance metrics that they evaluate and their usage scenarios are discussed. It is found that capacity and operational planning models predominantly focus on performance metrics such as waiting time, service time and congestion whereas performance review models attempt to link those to passenger satisfaction outcomes. Security policy models on the other hand focus on probabilistic risk assessment.
However, there is an emerging focus on the need to be able to capture trade-offs between multiple criteria such as security and processing time.
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|Item Type:||Journal Article|
|Keywords:||concept of operations, passenger terminal, airport modelling, complex systems|
|Subjects:||Australian and New Zealand Standard Research Classification > COMMERCE MANAGEMENT TOURISM AND SERVICES (150000) > TRANSPORTATION AND FREIGHT SERVICES (150700)|
|Divisions:||Current > Schools > School of Curriculum|
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
|Copyright Owner:||Copyright 2012 Elsevier Ltd. All rights reserved.|
|Copyright Statement:||This is the author’s version of a work that was accepted for publication in Transportation Research Part A: Policy and Practice. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Transportation Research Part A: Policy and Practice, Volume 47, January 2013, Pages 124–140. DOI: 10.1016/j.tra.2012.10.015|
|Deposited On:||27 Jan 2012 09:08|
|Last Modified:||25 Apr 2013 20:57|
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