Modelling the Factors Influencing the Activity Spaces of Bikeshare around Metro Stations: a Spatial Regression Model

Metro-bikeshare integration is considered a green and efficient travel model. To better understand bikeshare as a feeder mode to metro, this study explored the factors that influence the activity spaces of bikeshare around metro stations. First, metro-bikeshare transfer trips were recognized through matching the bikeshare smart card data and metro smart card data. Then, Standard Deviation Ellipse (SDE) was used for the calculation of the metro-bikeshare activity spaces. Moreover, an ordinary least squares (OLS) regression and a spatial error model (SEM) are established to reveal the effects of social-demographic, travel-related and built environment factors on the activity spaces of bikeshare around metro stations, and the SEM outperforms OLS significantly in terms of model fit. Results show that the average metro-bikeshare activity space on weekdays is larger than that on weekends. The proportion of local residents promotes the activity space on weekends, while high density of road and metro impedes the activity space on weekdays. Proportion of age group 1(below 18) significantly impedes activity space throughout the week, while that of age group 4(between 45 and retirement age) promotes the activity space on weekdays. Additionally, with the job density increasing, the activity space becomes smaller significantly throughout the week. Also, both on weekdays and weekends, the closer to the CBD, the smaller the activity space will be. This study can offer meaningful implications for policy makers and and city planners to make the bikeshare distribution more reasonable.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ANF20 Standing Committee on Bicycle Transportation.
  • Corporate Authors:

    Transportation Research Board

    ,    
  • Authors:
    • Jin, Yuchuan
    • Wang, Jianbiao
    • He, Mingjia
    • Ma, Xinwei
    • Ye, Jiao
  • Conference:
  • Date: 2019

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: References; Tables;
  • Pagination: 7p

Subject/Index Terms

Filing Info

  • Accession Number: 01697851
  • Record Type: Publication
  • Report/Paper Numbers: 19-04179
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:40AM