Inferring Usage Characteristics of Electric Bicycles from Position Information
ISBN
978-1-4503-0412-2
Type
conference paper
Date Issued
2010-11-29
Author(s)
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
Language
English
Keywords
Electric bicycle
e-Bike
GPS data
e-mobility
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Refereed
Yes
Book title
LocWeb'10 Proceedings
Publisher
ACM Digital Library
Publisher place
New York
Event Title
3rd International Workshop on Location and the Web (LocWeb 2010)
Event Location
Tokyo, Japan
Event Date
29.11.2010
Subject(s)
Division(s)
Eprints ID
116032
File(s)![Thumbnail Image]()
Name
Paefgen, Michahelles (2010) Inferring Usage Characteristics of E-bikes from Position Information..pdf
Size
179.55 KB
Format
Adobe PDF
Checksum (MD5)
e0d948fc6f386544f01e7b58e8b40e48