Portraying and Differentiating Profiles and Preferences of Casual Users and Registered Members of Capital Bikeshare

Even though casual users of bikeshare account for a large share of ridership and revenue at public bikeshare systems in North America, very little is known about the characteristics and preferences of casual users and how they compare to registered members. The primary objectives of the study include identifying the similarities and differences between registered members and casual users by such characteristics as demographics, usage, and indicated preferences; and examining and modeling pricing preferences of bikeshare users. An intercept survey was conducted to obtain demographic information, bikeshare usage and various preferences of Capital Bikeshare (CaBi) users in the metro Washington DC area. The survey data was validated against the data from an existing member survey with large sample using goodness of fit tests. Survey participants reported that the single-trip fare (STF) and annual membership paid at once are their preferred pricing options and a combination of STF, 24-hour pass, and annual membership with monthly installments as their favorable pricing model. Two logistic regression models, namely, a formative model for user type as Model 1 and casual user fare choice model as Model 2 were developed. Results indicated that, when compared to casual users, registered members are more likely to be White, have higher income and reside in the metro DC area. Casual users make fewer bikeshare trips and are less sensitive to the service (as measured by station density) compared to members. Logistic regression results among the casual users demonstrated that STF purchasers are less likely to be white and more likely to be the metro DC area residents compared to the 24-hour pass users. Gender, age, and income distribution do not appear to influence casual fare product choice. Results from this study are useful in policy-making, planning, and operations for bikeshare systems.

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

    Transportation Research Board

  • Authors:
    • Kaviti, Shruthi
    • Venigalla, Mohan M
    • Lucas, Kimberly
  • Conference:
  • Date: 2019


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 11p

Subject/Index Terms

Filing Info

  • Accession Number: 01697850
  • Record Type: Publication
  • Report/Paper Numbers: 19-03958
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:40AM