TY - CHAP
T1 - Multicity investigation of the effect of holidays on bikeshare system ridership
AU - Palaio, Lori
AU - Vo, Tung
AU - Maness, Michael
AU - Bertini, Robert L.
AU - Menon, Nikhil
N1 - Funding Information:
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: U.S. Department of Transportation through Grant No. 69A3551747116, Internal research funding from the University of South Florida
Funding Information:
The authors gratefully acknowledge support provided by the Center for Teaching Old Models New Tricks (TOMNET), a University Transportation Center sponsored by the U.S. Department of Transportation (grant no. 69A3551747116). The authors are thankful for Eren Yuksel and Brian Staes for brainstorming and developing ideas with the authors and for insights on this work. The authors would also like to thank Christina Van Allen for editorial support. Lastly, the authors would like to thank the bikeshare agencies that provided the data for this study.
Publisher Copyright:
© National Academy of Sciences.
PY - 2021
Y1 - 2021
N2 - Bikeshare provides important first mile–last mile, commuting, circulation, and sightseeing options in many cities. Bikeshare can also be healthy and convenient for users. Throughout the year, holidays occur that change typical bikeshare activity patterns. Existing literature shows mixed results relating to the ridership impacts of holidays: some research shows that these days may result in higher ridership, whereas others show no effect. Because of variations in system locations and modeling methods, it is difficult to determine the reasons for these mixed results. To control for these aspects, this project consisted of a multicity study of the effect of holidays on system-level ridership using a loglinear regression model with robust standard errors. The results showed the impacts of holidays on bikeshare system ridership for different user types among systems in the Washington D.C., Chicago, Boston, Los Angeles, and Minneapolis metro areas. Several hypotheses were developed and tested to examine the effects of holidays on bikeshare usage. A major finding from this study was that federal holidays negatively affected member ridership and positively affected nonmember ridership. It was also found that different federal holidays had dissimilar effects on total ridership. These findings could be useful for bikeshare agencies to plan, reposition fleet, and improve system operation.
AB - Bikeshare provides important first mile–last mile, commuting, circulation, and sightseeing options in many cities. Bikeshare can also be healthy and convenient for users. Throughout the year, holidays occur that change typical bikeshare activity patterns. Existing literature shows mixed results relating to the ridership impacts of holidays: some research shows that these days may result in higher ridership, whereas others show no effect. Because of variations in system locations and modeling methods, it is difficult to determine the reasons for these mixed results. To control for these aspects, this project consisted of a multicity study of the effect of holidays on system-level ridership using a loglinear regression model with robust standard errors. The results showed the impacts of holidays on bikeshare system ridership for different user types among systems in the Washington D.C., Chicago, Boston, Los Angeles, and Minneapolis metro areas. Several hypotheses were developed and tested to examine the effects of holidays on bikeshare usage. A major finding from this study was that federal holidays negatively affected member ridership and positively affected nonmember ridership. It was also found that different federal holidays had dissimilar effects on total ridership. These findings could be useful for bikeshare agencies to plan, reposition fleet, and improve system operation.
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U2 - 10.1177/03611981211019739
DO - 10.1177/03611981211019739
M3 - Chapter (peer-reviewed)
AN - SCOPUS:85116323508
VL - 2675
SP - 404
EP - 423
BT - Transportation Research Record
PB - SAGE Publications Ltd
ER -