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Author (up) Alexander Gabriel; Florian Klein; Frank Fiedrich
Title Modelling of Passenger Handling Processes in Railway Stations – A Mixed-Methods Approach Type Conference Article
Year 2020 Publication ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2020
Volume Issue Pages 580-592
Keywords Crowd-Management; Mixed-Methods; Process Modelling; Critical Infrastructure; Railway Transportation
Abstract The constantly increasing number of passengers using public transportation leads to an expansion of the ser-vices offered by public transportation companies. The existing transportation infrastructures, especially rail-way stations, can only partly cope with this rapid growth. There is already overcrowding on platforms and access routes, especially during disruptions caused by natural disasters or major public events. This crowding may result in personal injury or shutdown of operations for safety reasons. The research project CroMa aims at improving robustness, safety, security and performance of railway stations at peak loads. The paper contributes thereto by developing an approach to assess railway infrastructure in terms of the risk of overcrowding. The core of this research is to combine qualitative workshop results with quantitative database analysis. Furthermore, the paper gives an outlook on the ongoing process model development as a basis for a semi-quantitative evaluation tool for railway stations applicable by end users.
Address University of Wuppertal, Germany; University of Wuppertal, Germany; University of Wuppertal, Germany
Corporate Author Thesis
Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Amanda Hughes; Fiona McNeill; Christopher W. Zobel
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-949373-27-54 ISBN 2411-3440 Medium
Track Planning, Foresight and Risk Analysis Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management
Notes gabriel@uni-wuppertal.de Approved no
Call Number Serial 2255
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