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Assessing network cognition in the Dutch railway system: insights into network situation awareness and workload using social network analysis
Prorail, Dept Innovat & Dev, Moreelsepk 3, NL-3511 EP Utrecht, Netherlands.;Delft Univ Technol, Fac Technol Policy & Management, Delft, Netherlands..
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics. Delft Univ Technol, Fac Technol Policy & Management, Delft, Netherlands..ORCID iD: 0000-0003-1126-3781
2020 (English)In: Cognition, Technology & Work, ISSN 1435-5558, E-ISSN 1435-5566, Vol. 22, no 1, p. 57-73Article in journal (Refereed) Published
Abstract [en]

This study takes upon a group cognition perspective and investigates the cognition of railway traffic operations, in particular railway traffic and passenger traffic control. A table-top simulation environment is used to conduct the study, in which its design principles are elaborated upon. Network cognition is operationalized through communication content and flow and studied through social network analysis (SNA). SNA centrality metrics, such as degree, closeness and betweenness, are assessed in these networks. As part of the study, two cases are compared where operational procedures for disruption mitigation are varied. The dependent variables are the different types of communication network structures that are conceptualized for communication flow and semantic network structures for communication content. Although the quantitative comparisons between the two operational procedures regarding their communication flow and semantic networks showed no significant differences, this study provides a methodology to compare different conditions.

Place, publisher, year, edition, pages
SPRINGER LONDON LTD , 2020. Vol. 22, no 1, p. 57-73
Keywords [en]
Communication, Group cognition, Railway traffic operations, Network situation awareness, Workload, Social network analysis
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-269789DOI: 10.1007/s10111-019-00546-7ISI: 000511936500004Scopus ID: 2-s2.0-85061666877OAI: oai:DiVA.org:kth-269789DiVA, id: diva2:1413375
Note

QC 20200310

Available from: 2020-03-10 Created: 2020-03-10 Last updated: 2020-03-10Bibliographically approved

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Meijer, Sebastiaan

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