Mining origin-destination flow patterns of bicycle sharing: Association with land use differences

Hsien Hao Lo, Tzu Chang Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019
Subtitle of host publicationTransport and Smart Cities
EditorsAndy H.F. Chow, S.M. Lo, Lishuai Li
PublisherHong Kong Society for Transportation Studies Limited
Pages317-324
Number of pages8
ISBN (Electronic)9789881581488
Publication statusPublished - 2010
Event24th International Conference of Hong Kong Society for Transportation Studies: Transport and Smart Cities, HKSTS 2019 - Hong Kong, Hong Kong
Duration: 2019 Dec 142019 Dec 16

Publication series

NameProceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019: Transport and Smart Cities

Conference

Conference24th International Conference of Hong Kong Society for Transportation Studies: Transport and Smart Cities, HKSTS 2019
CountryHong Kong
CityHong Kong
Period19-12-1419-12-16

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Information Systems
  • Civil and Structural Engineering
  • Transportation
  • Computer Networks and Communications

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