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Assessing Gaming Simulation Validity for Training Traffic Controllers
KTH, Skolan för teknik och hälsa (STH), Hälso- och systemvetenskap, Vårdlogistik. Delft University of Technology, Netherlands.ORCID-id: 0000-0003-1126-3781
2017 (engelsk)Inngår i: Journal Simulation & Gaming, ISSN 1046-8781, E-ISSN 1552-826X, Vol. 48, nr 2, s. 219-235Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Background. The Dutch railway company ProRail is performing large-scale capacity upgrades to their infrastructure network. As part of these upgrades, ProRail uses gaming simulations to help prepare train traffic controllers for new infrastructure situations. Researching the validity of these gaming simulations is essential, since the conclusions drawn from gaming simulation use may result in decisions with large financial and social impact for ProRail and Dutch train passengers. Aim. In this article, we aim to investigate the validity of the gaming simulations for training traffic controllers for new situations in rail infrastructure. We also aim to contribute to the discussion on the minimum level of fidelity required to develop and conduct gaming simulations in a valid way. Method. We investigate the validity by using training sessions in conjunction with questionnaires. We based the approach and questionnaires on the earlier work of Raser. Results. Our results show that the validity of the gaming simulation ranges from medium to good. They also show that while the fidelity of the gaming simulation is not like the real-world operating conditions, this does not reduce validity to low levels. Conclusions. We conclude that the gaming simulation used in this study was of medium to good validity. We also conclude that maximum fidelity is not required in order to run a valid gaming simulation session.

sted, utgiver, år, opplag, sider
Sage Publications, 2017. Vol. 48, nr 2, s. 219-235
Emneord [en]
fidelity, gaming simulation, infrastructure, questionnaire, railway, teaching, traffic controller, train, training, validity
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Identifikatorer
URN: urn:nbn:se:kth:diva-210117DOI: 10.1177/1046878116683578Scopus ID: 2-s2.0-85015839151OAI: oai:DiVA.org:kth-210117DiVA, id: diva2:1118478
Merknad

QC 20170630

Tilgjengelig fra: 2017-06-30 Laget: 2017-06-30 Sist oppdatert: 2017-06-30bibliografisk kontrollert

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