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In the 11th International Conference on Mobile and Ubiquitous Systems. London, UK. December 2014.
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Tube Star: Crowd-Sourced Experiences on Public Transport
@neal_lathia: University of CambridgeLicia Capra: University College London#MBiq14
Situation / Problem
PreferencesMining Public Transport Usage for Personalised Intelligent Transport Systems. IEEE ICDM 2010.
Individuals Among Commuters: Building Personalised Transport Information Services from Fare Collection Systems. Elsevier PMC 2012.
RecommendationsMining Mobility Data to Minimise Travellers' Spending on Public Transport. ACM KDD 2011.
Policies vs. BehavioursHow Smart is Your Smartcard? Measuring Travel Behaviours, Perceptions, and Incentives. ACM Ubicomp 2011.
CommunitiesThe Hidden Image of the City: SensingCommunity Well-Being from Urban Mobility.Pervasive 2012.
Existing Solutions?
The London Case Study
Application Iterative Design
Ready, Set, Deploy!
Rating & Thematic Analysis215 ratings / 44 users
Limitations & Future
Limitations– Design v. Deploy– Contact with Participants v. Realistic Usage– Evaluation
Unanswered Questions– How much of this is city-specifi c?– What approaches would be more successful?– How else to encourage participation?
Unanswered Questions– How much of this is city-specifi c?– What approaches would be more successful?– How else to encourage participation?
Tube Star: Crowd-Sourced Experiences on Public Transport
@neal_lathia, licia capra
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