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Sensors 2016, 16(7), 1035; doi:10.3390/s16071035

Policy 2.0 Platform for Mobile Sensing and Incentivized Targeted Shifts in Mobility Behavior

1
Department of Telecommunications and Information Processing, Ghent University, St-Pietersnieuwstraat 41, Ghent B-9000, Belgium
2
Facultad de Ingeniería Mecánica y Ciencias de la Producción, Escuela Superior Politécnica del Litoral, ESPOL, Campus Gustavo Galindo Km 30.5 Vía Perimetral, Guayaquil 09-01-5863, Ecuador
*
Author to whom correspondence should be addressed.
Academic Editors: Andrea Zanella and Toktam Mahmoodi
Received: 4 April 2016 / Revised: 20 June 2016 / Accepted: 29 June 2016 / Published: 5 July 2016
(This article belongs to the Special Issue Smart City: Vision and Reality)
View Full-Text   |   Download PDF [3508 KB, uploaded 5 July 2016]   |  

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. View Full-Text
Keywords: Policy 2.0 platform; smart cities; sustainable mobility; mode shift incentive; travel behavior; smartphone mobility applications Policy 2.0 platform; smart cities; sustainable mobility; mode shift incentive; travel behavior; smartphone mobility applications
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Semanjski, I.; Lopez Aguirre, A.J.; De Mol, J.; Gautama, S. Policy 2.0 Platform for Mobile Sensing and Incentivized Targeted Shifts in Mobility Behavior. Sensors 2016, 16, 1035.

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