Print Email Facebook Twitter Assessing network cognition in the Dutch railway system Title Assessing network cognition in the Dutch railway system: insights into network situation awareness and workload using social network analysis Author Lo, J.C. (TU Delft Organisation & Governance; ProRail) Meijer, S.A. (TU Delft Organisation & Governance; KTH Royal Institute of Technology) Date 2019 Abstract 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. Subject CommunicationGroup cognitionNetwork situation awarenessRailway traffic operationsSocial network analysisWorkload To reference this document use: http://resolver.tudelft.nl/uuid:a7869833-5b89-4971-9832-5c8b772cc3b0 DOI https://doi.org/10.1007/s10111-019-00546-7 ISSN 1435-5558 Source Cognition, Technology and Work, 22 (1), 57-73 Part of collection Institutional Repository Document type journal article Rights © 2019 J.C. Lo, S.A. Meijer Files PDF Lo_Meijer2019_Article_Ass ... nInThe.pdf 1.47 MB Close viewer /islandora/object/uuid:a7869833-5b89-4971-9832-5c8b772cc3b0/datastream/OBJ/view