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Updated: Jul 30, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
Published on: December 11, 2015
Policy 2.0 Platform for Mobile Sensing and Incentivized Targeted Shifts in Mobility Behavior
Ivana Semanjski1, Angel Javier Lopez Aguirre2,3, Johan De Mol4
1Department of Telecommunications and Information Processing, Ghent University, St-Pietersnieuwstraat 41, Ghent B-9000, Belgium. ivana.semanjski@ugent.be.
Abstract:
Sustainable mobility and smart mobility management play important roles in achieving smart cities' goals. In this context we investigate the role of smartphones as mobility behavior sensors and evaluate the responsivity of different attitudinal profiles towards personalized route suggestion incentives delivered via mobile phones. The empirical results are based on mobile sensed data collected from more than 3400 people's real life over a period of six months. The findings show which user profiles are most likely to accept such incentives and how likely they are to result in more sustainable mode choices. In addition we provide insights into tendencies towards accepting more sustainable route options for different trip purposes and illustrate smart city platform potential (for collection of mobility behavior data and delivery of incentives) as a tool for development of personalized mobility management campaigns and policies.

