Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693)
DOI: 10.1109/wsc.2003.1261612
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Simulation analysis of international-departure passenger flows in an airport terminal

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Cited by 46 publications
(29 citation statements)
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“…For example, one report stated that 72% of passengers "cited inefficient streamlining of the core passenger journey from check-in to boarding" as a source of "stress and unhappiness", and suggested streamlining services to mitigate waiting times and increase task efficiency [2]. Takakuwa [47] found that passengers spent an average of 25% of their time waiting during their airport experience. The Amadeus report [2] presented a "leisure timeline" foreseeing that pioneers should be adopting interactive artistic installations and immersive experiences by 2015.…”
Section: Design Spacementioning
confidence: 99%
“…For example, one report stated that 72% of passengers "cited inefficient streamlining of the core passenger journey from check-in to boarding" as a source of "stress and unhappiness", and suggested streamlining services to mitigate waiting times and increase task efficiency [2]. Takakuwa [47] found that passengers spent an average of 25% of their time waiting during their airport experience. The Amadeus report [2] presented a "leisure timeline" foreseeing that pioneers should be adopting interactive artistic installations and immersive experiences by 2015.…”
Section: Design Spacementioning
confidence: 99%
“…Agent-based models provide a mechanism for not only incorporating multiple queues into a single model, but importantly also include passenger travel and activities between queues. This is particularly important since discretionary activities (such as duty-free shopping or visiting cafes and restaurants) take up the majority of a passenger's time in an airport (Takakuwa and Oyama 2003), and it is therefore important to understand these activities (Popovic et al 2009). Gatersleben and van der Weij (1999) developed a full airport model (i.e., for departing, arriving and transferring passengers) for Amsterdam Schiphol Airport to analyze passenger flows, identify spatial bottlenecks, and observe the interaction between consecutive processing facilities.…”
Section: Previous Studies On Airport Passenger Simulation Using Agentmentioning
confidence: 99%
“…e paper was written by Setti and Hutchinson [1] and Takakuwa and Oyama [2] and Zhang et al [3] qualitatively analyzed the passenger flowlines in passenger terminals, and the methods is used to reduce the traffic problems. In Bohari et al's paper [4], the simulation successfully modelled the passenger movement pattern, factors influencing the movement, and the walking speed.…”
Section: Introductionmentioning
confidence: 99%