This work presents a decision support system for providing information and suggestions to airport users. The aim of the study is to design a system both to improve passengers' experience by reducing time-spent queuing and waiting and to raise airport revenues by increasing the time passengers spend in discretionary activities. Passengers' behaviour is modelled with an activity-choice model to be calibrated with their mobile phone traces. The model allows predicting activity sequences for passengers with given socio-demographic characteristics. To predict queue length at check-in desks and security control and congestion inside commercial areas, passengers' movements are simulated with a microscopic simulation tool. A system to generate suggestion has been designed: passengers are advised to perform mandatory activities when the predicted queue length is reasonable and specific discretionary activities according to time available, user profiles, location distance, location congestion and airport management preferences. A proof-of-concept case study has been developed: passengers' behaviour in both cases of receiving and not receiving suggestion has been simulated. In the first case, passengers experienced less queuing and waiting time; the time saved was spent in discretionary activities, improving passengers' airport experience and increasing airport revenues.
How to drive passenger airport experience: a decision support system based on user profile
IET Intelligent Transport Systems ; 12 , 4 ; 301-308
2018-02-12
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
queueing theory , mobile handsets , passenger behaviour , microscopic simulation tool , decision support system , management preferences , time-spent queuing , mobile phone traces , behavioural sciences computing , airport revenues , decision support systems , user profile , specific discretionary activities , airports , socio-demographic characteristics , location distance , mobile computing , time-spent waiting , activity-choice model , activity sequence prediction , passenger airport experience , queue length prediction , location congestion
Metadata by IET is licensed under CC BY 3.0
How to drive passenger airport experience: a decision support system based on user profile
Wiley | 2018
|Policy-Level Decision Support for Airport Passenger Terminal Design
Online Contents | 1993
|iBeacons may ease passenger airport experience
Online Contents | 2014
|An assessment of passenger experience at Melbourne Airport
Elsevier | 2016
|