Abstract
This paper identifies user behavior of the Taipei bikesharing system, YouBike, along with the trip chain between YouBike and Taipei mass rapid transit (MRT). The one-month data from the electronic payment service (EPS) provider contain 1,540,846 YouBike rides and 56,870,619 MRT rides. Data processing techniques and descriptive statistics were applied via SAS©. The results show that among the 407,935 YouBikers, 82.97% were casual users (defined as those with 5 or less monthly rides), 14.53% were constant users (6–20 rides), and 2.50% were loyal users (more than 20 rides). 41.35% of the YouBike rides were made by the casual users, 38.61% by the constant users, and 20.04% by the loyal users. 35.90% of the users rode YouBike to or from the MRT stations at least once a month. 23.72% of the YouBike rides complemented MRT by serving as the first- or last-mile feeder mode of MRT. The casual users tended to ride YouBike on the weekends for the leisure purpose, and the loyal and constant users tended to ride YouBike on the weekdays for commuting. YouBike was particularly welcomed by students and general adults. As YouBike has passed its growth peak and is now in the mature phase, it is suggested that the transportation authority provide incentives to encourage existing and potential users.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Froehlich, J., Neumann, J., Oliver, N.: Sensing and predicting the pulse of the city through shared bicycling. In: Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI 2009, Pasadena, California, USA (2009)
Kaltenbrunner, A., Meza, R., Grivolla, J., Codina, J., Banchs, R.: Urban cycles and mobility patterns: exploring and predicting trends in a bicycle-based public transport system. Pervasive Mob. Comput. 6(4), 455–466 (2010)
O’Brien, O., Cheshire, J., Batty, M.: Mining bicycle sharing data for generating insights into sustainable transport systems. J. Transp. Geogr. 34(219), 262–273 (2014)
Berloco, N., Colonna, P.: Testing and improving urban bicycle performance. Procedia Soc. Behav. Sci. 53, 72–83 (2012)
Borgnat, P., Abry, P., Flandrin, P., Rouquier, J.B., Fleury, E.: Shared bicycles in a city: a signal processing and data analysis perspective. Adv. Complex Syst. 14(3), 415–438 (2011)
Jensen, P., Rouquier, J.B., Ovtracht, N., Robardet, C.: Characterizing the speed and paths of shared bicycles in Lyon. Transp. Res. Part D Transp. Environ. 15(8), 522–524 (2010)
Ikpeze, T.C., Glaun, G., McCalla, D., Elfar, J.C.: Geriatric cyclists: assessing risks, safety, and benefits. Geriatr. Orthop. Surg. Rehabil. 9, 2151458517748742 (2018). https://doi.org/10.1177/2151458517748742
Taipei City DOT: Annual evaluation of Taipei YouBike operations performance (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Chung, CL., Li, SY. (2019). Explore User Behavior of the Taipei Bikesharing System via Electronic Payment Service Data. In: Mine, T., Fukuda, A., Ishida, S. (eds) Intelligent Transport Systems for Everyone’s Mobility. Springer, Singapore. https://doi.org/10.1007/978-981-13-7434-0_26
Download citation
DOI: https://doi.org/10.1007/978-981-13-7434-0_26
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-7433-3
Online ISBN: 978-981-13-7434-0
eBook Packages: Economics and FinanceEconomics and Finance (R0)