Smart City Gnosys
Smart city article details
| Title | Mining Bike-Share Data |
|---|---|
| ID_Doc | 37086 |
| Authors | Chawathe S.S. |
| Year | 2020 |
| Published | 2020 IEEE International Smart Cities Conference, ISC2 2020 |
| DOI | http://dx.doi.org/10.1109/ISC251055.2020.9239039 |
| Abstract | This paper studies methods for processing bike-share datasets for the purpose of extracting information that can assist riders, bike-share program designers, city planners, and others. Bike-share datasets describe how shared bicycles are used in an urban environment. They vary considerably in composition and coverage but typically include information such as the locations (bicycle racks) of origin and destination, timestamps, and identifiers for bicycles and riders. This paper provides methods for visualizing such data in a manner that distills useful patterns and for using the data to predict usage. In order to overcome the difficulty in generating meaningful clusters using conventional methods, it presents a novel method of clustering that uses graph condensations. It describes an experimental study of these methods using a publicly available dataset from a popular bike-share program. Results include the encouraging visualizations using graph condensations, significant benefits of some computed features such as trip durations, and some insights for planning related to periodicity and the effects of a pandemic such as COVID-19. © 2020 IEEE. |
| Author Keywords | Bikeshare; Data Analysis; Transportation |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
9519  | 0.879 | Cuong D.V.; Ngo V.M.; Cappellari P.; Roantree M. | Analyzing Shared Bike Usage Through Graph-Based Spatio-Temporal Modeling | IEEE Open Journal of Intelligent Transportation Systems, 5 (2024) |
| 37370 | 0.865 | Shir B.; Prakash Verma J.; Bhattacharya P. | Mobility Prediction For Uneven Distribution Of Bikes In Bike Sharing Systems | Concurrency and Computation: Practice and Experience, 35, 2 (2023) |
| 29019 | 0.862 | Yang, JJ; Guo, BZ; Wang, ZH; Ma, YL | Hierarchical Prediction Based On Network-Representation-Learning-Enhanced Clustering For Bike-Sharing System In Smart City | IEEE INTERNET OF THINGS JOURNAL, 8, 8 (2021) |
| 33156 | 0.858 | Onen S.; Ggaliwango M.; Mugabi S.; Nabende J. | Interpretable Machine Learning For Intelligent Transportation In Bike-Sharing | 2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing, ICSTSN 2023 (2023) |
| 20781 | 0.854 | Ali A.; Salah A.; Bekhit M.; Fathalla A. | Divide-And-Train: A New Approach To Improve The Predictive Tasks Of Bike-Sharing Systems | Mathematical Biosciences and Engineering, 21, 7 (2024) |