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Open AccessArticle

Unveiling E-Bike Potential for Commuting Trips from GPS Traces

Department of Telecommunications and Information Processing, Ghent University, St-Pietersnieuwstraat 41,B-9000 Ghent, Belgium
Facultad de Ingeniería en Electricidad y Computación, Escuela Superior Politécnica del Litoral, ESPOL, Campus Gustavo Galindo Km 30.5 Vía Perimetral, 09-01-5863 Guayaquil, Ecuador
L-Mob Leuven Mobility Research Center, KU Leuven, B-3000 Leuven, Belgium
Flemish Institute for Technological Research (VITO), Boeretang 200, B-2400 Mol, Belgium;
Author to whom correspondence should be addressed.
Current address: St-Pietersnieuwstraat 41, B-9000 Ghent, Belgium
Academic Editors: Carlos Granell Canut and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2017, 6(7), 190;
Received: 14 March 2017 / Revised: 5 June 2017 / Accepted: 17 June 2017 / Published: 22 June 2017
Common goals of sustainable mobility approaches are to reduce the need for travel, to facilitate modal shifts, to decrease trip distances and to improve energy efficiency in the transportation systems. Among these issues, modal shift plays an important role for the adoption of vehicles with fewer or zero emissions. Nowadays, the electric bike (e-bike) is becoming a valid alternative to cars in urban areas. However, to promote modal shift, a better understanding of the mobility behaviour of e-bike users is required. In this paper, we investigate the mobility habits of e-bikers using GPS data collected in Belgium from 2014 to 2015. By analysing more than 10,000 trips, we provide insights about e-bike trip features such as: distance, duration and speed. In addition, we offer a deep look into which routes are preferred by bike owners in terms of their physical characteristics and how weather influences e-bike usage. Results show that trips with higher travel distances are performed during working days and are correlated with higher average speeds. Usage patterns extracted from our data set also indicate that e-bikes are preferred for commuting (home-work) and business (work related) trips rather than for recreational trips. View Full-Text
Keywords: e-bike; sustainable mobility; GPS data; GNSS; travel behaviour; weather e-bike; sustainable mobility; GPS data; GNSS; travel behaviour; weather
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MDPI and ACS Style

Lopez, A.J.; Astegiano, P.; Gautama, S.; Ochoa, D.; Tampère, C.M.J.; Beckx, C. Unveiling E-Bike Potential for Commuting Trips from GPS Traces. ISPRS Int. J. Geo-Inf. 2017, 6, 190.

AMA Style

Lopez AJ, Astegiano P, Gautama S, Ochoa D, Tampère CMJ, Beckx C. Unveiling E-Bike Potential for Commuting Trips from GPS Traces. ISPRS International Journal of Geo-Information. 2017; 6(7):190.

Chicago/Turabian Style

Lopez, Angel J.; Astegiano, Paola; Gautama, Sidharta; Ochoa, Daniel; Tampère, Chris M.J.; Beckx, Carolien. 2017. "Unveiling E-Bike Potential for Commuting Trips from GPS Traces" ISPRS Int. J. Geo-Inf. 6, no. 7: 190.

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