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Using Passenger Personas to Design Technological Innovation for the Rail Industry

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Abstract

Research with end users can contribute to the design of technologies such as intelligent transport systems. However, it is important to use methods that can facilitate the uptake of research outcomes by the industry. This paper presents the use of passenger personas as part of the process of developing new technologies for the rail industry in the UK. Personas represent archetypal users and can facilitate the understanding of user behaviours, needs, motivations, characteristics and limitations. We aggregated existing knowledge and complemented it with bespoke data collection to understand passengers’ perceptions about the rail system. The study design focused on current user experiences and also where technology can improve these experiences. A set of four personas was produced in order to illustrate who the users of the train systems are as well as their characteristics. This knowledge informed the requirements of innovative technologies that can enhance user experiences during rail travel.

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Acknowledgments

This research is performed as part of the “CLoSeR: Customer Loyalty and Dynamic Seat Reservation System” project, funded by RSSB/Innovate UK (Grant No 102483). This project was selected through the competition ‘Enhancing Customer Experience in Rail’. Partners in this project are the University of Warwick, Cranfield University and four industry partners: Unipart Rail, TrainFX, Loyalty Prime and Great Western Railway. The authors would like to thank all participants who donated their time to fill out the questionnaires or to be interviewed.

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Correspondence to Luis Oliveira .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Oliveira, L., Bradley, C., Birrell, S., Tinworth, N., Davies, A., Cain, R. (2018). Using Passenger Personas to Design Technological Innovation for the Rail Industry. In: Kováčiková, T., Buzna, Ľ., Pourhashem, G., Lugano, G., Cornet, Y., Lugano, N. (eds) Intelligent Transport Systems – From Research and Development to the Market Uptake. INTSYS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 222. Springer, Cham. https://doi.org/10.1007/978-3-319-93710-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-93710-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93709-0

  • Online ISBN: 978-3-319-93710-6

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