Travel behavior and price preferences of bikesharing members and casual users: A Capital Bikeshare perspective

Kaviti, Shruthi; Venigalla, Mohan; Lucas, Kimberly

doi:10.1016/j.tbs.2019.02.004

Cited by 36 publications

(21 citation statements)

References 19 publications

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“…The proportion of trips generated by members decreased from 75.04% in 2019 to 56.24% in 2020. Considering members ride more for commuting while casuals ride more for leisure ( Kaviti et al, 2019 ; McKenzie, 2019 ; Wang and Lindsey, 2019 ), it is reasonable that members suffer the most striking drop due to the work-from-home policies. Another interesting finding is that the average trip duration and trip distance both increased during the pandemic.…”

Section: Resultsmentioning

confidence: 99%

“…For example, bike-sharing users are often younger, white males with higher education degrees and upper-to-middle income ( Caspi and Noland, 2019 ; Shaheen and Cohen, 2019 ). Casual users are more likely to ride for leisure, while members are found to ride more for commuting ( Kaviti et al, 2019 ; McKenzie, 2019 ; Wang and Lindsey, 2019 ). Opposite opinions also exist.…”

Section: Literature Reviewmentioning

confidence: 99%

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Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic

Xiong

Liu

et al. 2021

Journal of Transport Geography

137

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The COVID-19 pandemic has led to a globally unprecedented change in human mobility. Leveraging two-year bike-sharing trips from the largest bike-sharing program in Chicago, this study examines the spatiotemporal evolution of bike-sharing usage across the pandemic and compares it with other modes of transport. A set of generalized additive (mixed) models are fitted to identify relationships and delineate nonlinear temporal interactions between station-level daily bike-sharing usage and various independent variables including socio-demographics, land use, transportation features, station characteristics, and COVID-19 infections. Results show: 1) the proportion of commuting trips is substantially lower during the pandemic; 2) the trend of bike-sharing usage follows an “increase-decrease-rebound” pattern; 3) bike-sharing presents as a more resilient option compared with transit, driving, and walking; 4) regions with more white, Asian, and fewer African-American residents are found to become less dependent on bike-sharing; 5) open space and residential areas exhibit less decrease and earlier start-to-recover time; 6) stations near the city center, with more docks, or located in high-income areas go from more increase before the pandemic to more decrease during the pandemic. Findings provide a timely understanding of bike-sharing usage changes and offer suggestions on how different stakeholders should respond to this unprecedented crisis.

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Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic

Xiong

Liu

et al. 2021

Journal of Transport Geography

137

View full text Add to dashboard Cite

show abstract

“…Though numerous studies discussed factors affecting the bikeshare ridership, very few studies included pricing as one of the factors (Kaviti 2018;Kaviti et al 2019). Jurdak (2013) analyzed the time-specific cost structure of the public bikesharing systems in Boston and Washington, DC.…”

Section: Studies Related To Impact Of Pricing On Usagementioning

confidence: 99%

“…Pucher et al (2010) and De Nazelle et al (2011) have addressed the infrastructure and pricing policy implications on cycling usage. Despite the importance of pricing to bikeshare patronage, few studies focused on the impact of a well-defined pricing strategy on revenue and ridership (Venigalla et al 2018(Venigalla et al , 2019Kaviti 2018;Kaviti et al 2018;Kaviti and Venigalla 2019).…”

Section: Introductionmentioning

confidence: 99%

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Impact of Bikesharing Pricing Policies on Usage and Revenue: An Evaluation Through Curation of Large Datasets from Revenue Transactions and Trips

Venigalla

Kaviti

Brennan

2020

J. Big Data Anal. Transp.

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A sustainable and robust stream of revenues is an essential element of the economic sustainability of bikeshare systems. To this effect, there is an unrelenting need to quantify and understand the impacts of pricing policies and operational considerations on a bikeshare system's revenue and ridership. A notable gap exists in literature on studies related to the impact of changes in pricing policy on ridership and revenue. The primary objective of this research was to assess the impact of the introduction of a $2 per trip single-trip fare (STF) product for casual users by Capital Bikeshare (CaBi), the bikeshare system in the Washington DC metro area, on its ridership and revenue. Two-year ridership and revenue transaction datasets of CaBi were used in the analysis. A substantial data curation effort was undertaken to fuse elements between the two large transactional datasets. The effort not only facilitated the impact assessment but also enhanced the value of ridership dataset by identifying trips made by casual users by the type of fare product they purchased. The casual bikeshare user revenues were traced to individual bikeshare stations where trips originated, which allowed the comparison between revenues and ridership 'before' and 'after' the launch of STF at the station level. Over 22 million records on individual bikeshare trips and revenue transactions for 3 years and 330 bikeshare stations were analyzed. The results showed a statistically significant increase in casual user ridership after the introduction of STF. There was a statistically significant decrease in revenue per ride. Statistical tests indicated that these changes might be attributable to the introduction of STF. The methods used in this study are transferable. They can be used for curating ridership data and studying the impacts of bikeshare pricing policy changes on system usage and revenues at various public bikesharing systems with similar characteristics as Capital Bikeshare.

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Station Reallocation and Rebalancing Strategy for Bike-Sharing Systems: A Case Study of Washington DC

Beigi,

Khoueiry,

Rajabi

et al. 2024

Lecture Notes in Civil Engineering

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Travel behavior and price preferences of bikesharing members and casual users: A Capital Bikeshare perspective

Cited by 36 publications

References 19 publications

Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic

Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic

Impact of Bikesharing Pricing Policies on Usage and Revenue: An Evaluation Through Curation of Large Datasets from Revenue Transactions and Trips

Station Reallocation and Rebalancing Strategy for Bike-Sharing Systems: A Case Study of Washington DC

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