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Forecasting global air passenger demand network using weighted similarity-based algorithms

Terekhov, Ivan and Evans, Antony and Gollnick, Volker (2015) Forecasting global air passenger demand network using weighted similarity-based algorithms. The 19th ATRS World Conference, 2-5 July 2015, Singapore.

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Abstract

The aim of this study is to define an appropriate approach to forecast the appearance of the air passenger demand between cities worldwide. For air passenger demand link forecasting a weighted similarity-based algorithm is used, with an analysis of nine indices. The weighted resource allocation index demonstrates the best metrics. The accuracy of this method has been determined through a comparison of modeled and known data from three separate years. The known data was used to establish boundaries when applying the similarity-based algorithm. As a result, it was found that a weighted resource allocation index, with defined boundaries, should be utilized for link prediction in the air passenger demand network. Furthermore, it is shown that grouping cities within the air passenger demand network, based on socio-economic indicators, increases the accuracy of the forecast.

Item URL in elib:https://elib.dlr.de/101263/
Document Type:Conference or Workshop Item (Speech)
Title:Forecasting global air passenger demand network using weighted similarity-based algorithms
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Terekhov, IvanIvan.Terekhov (at) dlr.deUNSPECIFIED
Evans, Antonyantony.d.evans (at) nasa.govUNSPECIFIED
Gollnick, VolkerVolker.Gollnick (at) dlr.deUNSPECIFIED
Date:July 2015
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:demand, network, weight, forecast, scenario
Event Title:The 19th ATRS World Conference
Event Location:Singapore
Event Type:international Conference
Event Dates:2-5 July 2015
Organizer:the Air transport reasearch society
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Air Transport Concepts and Operation (old)
Location: Hamburg
Institutes and Institutions:Air Transport Operations > System Analysis Air Transport
Deposited By: Terekhov, Ivan
Deposited On:27 Jan 2016 14:35
Last Modified:31 Jul 2019 19:58

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