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Y. Soda, Y. Yoshihara, "The Contribution of Town Functions and Services to Station Congestion Levelling", in J. Pombo, (Editor), "Proceedings of the Sixth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 7, Paper 27.1, 2024, doi:10.4203/ccc.7.27.1

Keywords: user surveys, congestion levelling, behaviour change, factor analysis, cluster analysis, human-centred design, crowd control.

Abstract

Stations close to large event venues can become overcrowded and dangerous due to the concentration of users after the event. We considered that encouraging users to change their behaviour voluntarily and staggering the hours of use of stations individually would lead to station congestion levelling and the avoidance of dangerous conditions. In this study, the users who came to the events were first typified by cluster analysis and then personas were clarified. In addition, focusing on the behaviour and insights of each person, a human-centred design process was used to derive and evaluate service proposals that are appropriate for each persona and can encourage behaviour change.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 7 PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 27.1 The Contribution of Town Functions and Services to Station Congestion Levelling Y. Soda and Y. Yoshihara Research and Development Center of JR East Group, East Japan Railway Company, Tokyo, Japan doi:10.4203/ccc.7.27.1 Full Bibliographic Reference for this paper Y. Soda, Y. Yoshihara, "The Contribution of Town Functions and Services to Station Congestion Levelling", in J. Pombo, (Editor), "Proceedings of the Sixth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 7, Paper 27.1, 2024, doi:10.4203/ccc.7.27.1 Keywords: user surveys, congestion levelling, behaviour change, factor analysis, cluster analysis, human-centred design, crowd control. Abstract Stations close to large event venues can become overcrowded and dangerous due to the concentration of users after the event. We considered that encouraging users to change their behaviour voluntarily and staggering the hours of use of stations individually would lead to station congestion levelling and the avoidance of dangerous conditions. In this study, the users who came to the events were first typified by cluster analysis and then personas were clarified. In addition, focusing on the behaviour and insights of each person, a human-centred design process was used to derive and evaluate service proposals that are appropriate for each persona and can encourage behaviour change. download the full-text of this paper (PDF, 1161 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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