Inferring usage characteristics of electric bicycles from position information

Authors:
Johannes Paefgen;Florian Michahelles
Affiliations:
University of St. Gallen;ETH Zurich
Venue:
Proceedings of the 3rd International Workshop on Location and the Web
Year:
2010

Citing 3
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IEEE Spectrum

LocWeb 2010: Third International Workshop on Location and the Web

Proceedings of the 3rd International Workshop on Location and the Web

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Abstract

This paper describes an experimental setup for the analysis of e-bike usage characteristics based on GPS data. Usage characteristics include parameters such as average and maximum velocity, trip lengths and distribution over daytime. Based on high resolution position measurement these parameters are extracted and compared to other studies on both e-bikes and conventional bicycles. We show that applying location technology to concurrent monitoring of a fleet of e-bikes yields higher quality in terms of resolution and accuracy (1), and is less intrusive (2) than obtaining these data by conventional user surveys. The findings form a proof-of-concept for the adoption of location technology to transportation and behavioral sciences and suggest further interdisciplinary collaboration in these fields.