Unveiling E-Bike Potential for Commuting Trips from GPS Traces

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...

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Main Authors: Angel J. Lopez, Paola Astegiano, Daniel Ochoa, Chris Tampere, Carolien Beckx, Sidharta Gautama
Format: Article
Language:English
Published: MDPI AG 2017-06-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:http://www.mdpi.com/2220-9964/6/7/190
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author Angel J. Lopez
Paola Astegiano
Daniel Ochoa
Chris Tampere
Carolien Beckx
Sidharta Gautama
author_facet Angel J. Lopez
Paola Astegiano
Daniel Ochoa
Chris Tampere
Carolien Beckx
Sidharta Gautama
author_sort Angel J. Lopez
collection DOAJ
description 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.
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spelling doaj.art-cb55b536511247ea96602abed9d8004f2022-12-22T03:06:56ZengMDPI AGISPRS International Journal of Geo-Information2220-99642017-06-016719010.3390/ijgi6070190ijgi6070190Unveiling E-Bike Potential for Commuting Trips from GPS TracesAngel J. Lopez0Paola Astegiano1Daniel Ochoa2Chris Tampere3Carolien Beckx4Sidharta Gautama5Department of Telecommunications and Information Processing, Ghent University, St-Pietersnieuwstraat 41,B-9000 Ghent, BelgiumL-Mob Leuven Mobility Research Center, KU Leuven, B-3000 Leuven, BelgiumFacultad de Ingeniería en Electricidad y Computación, Escuela Superior Politécnica del Litoral, ESPOL, Campus Gustavo Galindo Km 30.5 Vía Perimetral, 09-01-5863 Guayaquil, EcuadorL-Mob Leuven Mobility Research Center, KU Leuven, B-3000 Leuven, BelgiumFlemish Institute for Technological Research (VITO), Boeretang 200, B-2400 Mol, Belgium;Department of Telecommunications and Information Processing, Ghent University, St-Pietersnieuwstraat 41,B-9000 Ghent, BelgiumCommon 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.http://www.mdpi.com/2220-9964/6/7/190e-bikesustainable mobilityGPS dataGNSStravel behaviourweather
spellingShingle Angel J. Lopez
Paola Astegiano
Daniel Ochoa
Chris Tampere
Carolien Beckx
Sidharta Gautama
Unveiling E-Bike Potential for Commuting Trips from GPS Traces
ISPRS International Journal of Geo-Information
e-bike
sustainable mobility
GPS data
GNSS
travel behaviour
weather
title Unveiling E-Bike Potential for Commuting Trips from GPS Traces
title_full Unveiling E-Bike Potential for Commuting Trips from GPS Traces
title_fullStr Unveiling E-Bike Potential for Commuting Trips from GPS Traces
title_full_unstemmed Unveiling E-Bike Potential for Commuting Trips from GPS Traces
title_short Unveiling E-Bike Potential for Commuting Trips from GPS Traces
title_sort unveiling e bike potential for commuting trips from gps traces
topic e-bike
sustainable mobility
GPS data
GNSS
travel behaviour
weather
url http://www.mdpi.com/2220-9964/6/7/190
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