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Analyzing the usage patterns of electric bicycles
| Content Provider | ACM Digital Library |
|---|---|
| Author | Keshav, S. Rios, Ivan Golab, Lukasz |
| Abstract | We analyze over 100 Gb of electric bicycle (e-bike) usage data collected through the University of Waterloo WeBike field trial. The WeBike fleet consists of 31 instrumented e-bikes used by University of Waterloo faculty, staff and students. We break down usage and battery charging habits by gender and by occupation, and we compare participants' initial estimates of how much they thought they would ride their e-bike with their actual riding histories. We also discuss data pre-processing challenges such as identifying trip start and end times from noisy and incomplete sensing data. |
| Starting Page | 1 |
| Ending Page | 6 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450344203 |
| DOI | 10.1145/2939953.2939955 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-06-21 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |