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Understanding rail travel through the curation of personal data

Lookup NU author(s): Dr David GolightlyORCiD


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© 2016 ACM. This project will explore the habitual nature of frequent rail travel, using personal data, along with data derived from journey patters and travel experience, to understand the levers that contribute towards making daily travel an automatic process. It aims to use lifestyle information to map out the key elements of a regular railway commute, the stressors encountered during the process, and the factors that make it a salient habit. Research will then involve the utilisation of both travel and lifestyle data to identify the points in a person's life at which these habits can be influenced - namely, the question of whether information provision during times of lifestyle/contextual change can be effective in influencing travel habits. Furthermore, it will involve the analysis of key stressors within the travel context, and how they can be avoided through the provision of appropriate information at the right time. The objectives of this form research involve improving customer experience for the individual through personal optimisation of everyday travel, while also providing train operating companies with a more comprehensive understanding of customer issues.

Publication metadata

Author(s): Kurup S, Golightly D, Wilson N

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Year of Conference: 2016

Pages: 541-546

Online publication date: 12/09/2016

Acceptance date: 02/04/2016

Publisher: Association for Computing Machinery, Inc


DOI: 10.1145/2968219.2968318

Library holdings: Search Newcastle University Library for this item

ISBN: 9781450344623