TY - GEN
T1 - Mining origin-destination flow patterns of bicycle sharing
T2 - 24th International Conference of Hong Kong Society for Transportation Studies: Transport and Smart Cities, HKSTS 2019
AU - Lo, Hsien Hao
AU - Lee, Tzu Chang
N1 - Funding Information:
The work described in this paper is supported by the Ministry of Science and Technology (Project No. MOST 108-2410-H-006-089) of Taiwan, and the transaction data of YouBike in Taipei city was provided by the Department of Transportation, Taipei City Government.
Publisher Copyright:
© 2010 23th International Conference on Architecture of Computing Systems 2010, ARCS 2010 - Workshop Proceedings. All rights reserved.
PY - 2019
Y1 - 2019
N2 - The new generation of bicycle sharing systems have generated large amounts of usage data, providing the benefit of research on bicycle use. This study aims to find the association between the use patterns of bicycle sharing and land use differences between origins and destination at Taipei. K-means is employed to categorize the OD flows data from the transaction record of YouBike based on the temporal distribution of trips and the land use data were involved to test the statistical characteristic of them. Five types of OD flows were recognized and the possible objective was referred for each type. The result suggests the significant relationship between bicycle sharing use patterns and land use differences between origins and destinations. Through this study, we learned more about the rationale of how urban functionality influences travel behavior, providing support of decision making on urban and transportation planning.
AB - The new generation of bicycle sharing systems have generated large amounts of usage data, providing the benefit of research on bicycle use. This study aims to find the association between the use patterns of bicycle sharing and land use differences between origins and destination at Taipei. K-means is employed to categorize the OD flows data from the transaction record of YouBike based on the temporal distribution of trips and the land use data were involved to test the statistical characteristic of them. Five types of OD flows were recognized and the possible objective was referred for each type. The result suggests the significant relationship between bicycle sharing use patterns and land use differences between origins and destinations. Through this study, we learned more about the rationale of how urban functionality influences travel behavior, providing support of decision making on urban and transportation planning.
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M3 - Conference contribution
AN - SCOPUS:85083895799
T3 - Proceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019: Transport and Smart Cities
SP - 317
EP - 324
BT - Proceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019
A2 - Chow, Andy H.F.
A2 - Lo, S.M.
A2 - Li, Lishuai
PB - Hong Kong Society for Transportation Studies Limited
Y2 - 14 December 2019 through 16 December 2019
ER -