The effects of bike-share users’ socio-demographics and trip features on the bike-transit relationships

References

• Alcorn, L. G., & Jiao, J. (2019). Bike-sharing station usage and the surrounding built environments in major Texas cities. Journal of Planning Education and Research, 0739456X1986285. https://doi.org/10.1177/0739456X19862854
   Google Scholar
• Audikana, A., Ravalet, E., Baranger, V., & Kaufmann, V. (2017). Implementing bikesharing systems in small cities: Evidence from the Swiss experience. Transport Policy, 55, 18–28. https://doi.org/10.1016/j.tranpol.2017.01.005
   Web of Science ®Google Scholar
• Bachand-Marleau, J., Larsen, J., & El-Geneidy, A. M. (2011). Much-anticipated marriage of cycling and transit: How will it work? Transportation Research Record, 2247(1), 109–117.
   Google Scholar
• Bachand-Marleau, J., Lee, B., & El-Geneidy, A. M. (2012). Better understanding of factors influencing likelihood of using shared bicycle systems and frequency of use. Transportation Research Record: Journal of the Transportation Research Board, 2314(1), 66–71. https://doi.org/10.3141/2314-09
   Web of Science ®Google Scholar
• Bauman, A., Crane, M., Drayton, B. A., & Titze, S. (2017). The unrealised potential of bike share schemes to influence population physical activity levels–A narrative review. Preventive Medicine, 103, S7–S14.
   Web of Science ®Google Scholar
• Buck, D., & Buehler, R. (2012). Bike lanes and other determinants of capital Bikeshare trips. Paper Presented at the 91st Transportation Research Board Annual Meeting 2012, Washington, DC.
   Google Scholar
• Campbell, K. B., & Brakewood, C. (2017). Sharing riders: How bikesharing impacts bus ridership in New York City. Transportation Research Part A: Policy and Practice, 100, 264–282. https://doi.org/10.1016/j.tra.2017.04.017
   Web of Science ®Google Scholar
• Chen, L., Zhang, D., Pan, G., Ma, X., Yang, D., Kushlev, K., Zhang, W., & Li, S. (2015). Bike sharing station placement leveraging heterogeneous urban open data. Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 571–575). https://doi.org/10.1145/2750858.2804291
   Google Scholar
• Eom, H. J., & Cho, G. H. (2015). Exploring thresholds of built environment characteristics for walkable communities: Empirical evidence from the Seoul Metropolitan area. Transportation Research Part D: Transport and Environment, 40, 76–86. https://doi.org/10.1016/j.trd.2015.07.005
   Web of Science ®Google Scholar
• Fishman, E., Washington, S., & Haworth, N. (2013). Bike share: a synthesis of the literature. Transport Reviews, 33(2), 148–165.
   Web of Science ®Google Scholar
• Fishman, E., Washington, S., Haworth, N., & Watson, A. (2015). Factors influencing bike share membership: An analysis of Melbourne and Brisbane. Transportation Research Part A: Policy and Practice, 71, 17–30. https://doi.org/10.1016/j.tra.2014.10.021
   Web of Science ®Google Scholar
• Fukushige, T., Fitch, D. T., & Handy, S. (2021). Factors influencing dock-less E-bike-share mode substitution: Evidence from Sacramento, California. Transportation Research Part D: Transport and Environment, 99, 102990. https://doi.org/10.1016/j.trd.2021.102990
   Web of Science ®Google Scholar
• Fuller, D., Gauvin, L., Kestens, Y., Daniel, M., Fournier, M., Morency, P., & Drouin, L. (2013). Impact evaluation of a public bicycle share program on cycling: A case example of BIXI in Montreal, Quebec. American Journal of Public Health, 103(3), e85–e92. https://doi.org/10.2105/AJPH.2012.300917
   PubMed Web of Science ®Google Scholar
• Ge, Y., Qu, W., Qi, H., Cui, X., & Sun, X. (2020). Why people like using bikesharing: Factors influencing bikeshare use in a Chinese sample. Transportation Research Part D: Transport and Environment, 87, 102520. https://doi.org/10.1016/j.trd.2020.102520
   Web of Science ®Google Scholar
• Graehler, M., Mucci, R. A., & Erhardt, G. D. (2019). Understanding the recent transit ridership decline in major US cities: Service cuts or emerging modes. 98th Annual Meeting of the Transportation Research Board, January, Washington, DC.
   Google Scholar
• Griffin, G. P., & Sener, I. N. (2016). Planning for bike share connectivity to rail transit. Journal of Public Transportation, 19(2), 1–22. https://doi.org/10.5038/2375-0901.19.2.1
   PubMed Web of Science ®Google Scholar
• Guo, Y., & He, S. Y. (2020). Built environment effects on the integration of dockless bike-sharing and the metro. Transportation Research Part D: Transport and Environment, 83, 102335. https://doi.org/10.1016/j.trd.2020.102335
   Web of Science ®Google Scholar
• Hochmair, H. H. (2015). Assessment of bicycle service areas around transit stations. International Journal of Sustainable Transportation, 9(1), 15–29. https://doi.org/10.1080/15568318.2012.719998
   Web of Science ®Google Scholar
• Hong, J., Tamakloe, R., Lee, S., & Park, D. (2019). Exploring the topological characteristics of complex public transportation networks: Focus on variations in both single and integrated systems in the Seoul metropolitan area. Sustainability, 11(19), 5404. https://doi.org/10.3390/su11195404
   Web of Science ®Google Scholar
• Iacono, M., Krizek, K. J., & El-Geneidy, A. (2010). Measuring non-motorized accessibility: Issues, alternatives, and execution. Journal of Transport Geography, 18(1), 133–140. https://doi.org/10.1016/j.jtrangeo.2009.02.002
   Web of Science ®Google Scholar
• Jang, S., An, Y., Yi, C., & Lee, S. (2017). Assessing the spatial equity of Seoul’s public transportation using the Gini coefficient based on its accessibility. International Journal of Urban Sciences, 21(1), 91–107. https://doi.org/10.1080/12265934.2016.1235487
   Web of Science ®Google Scholar
• Ji, Y., Fan, Y., Ermagun, A., Cao, X., Wang, W., & Das, K. (2017). Public bicycle as a feeder mode to rail transit in China: The role of gender, age, income, trip purpose, and bicycle theft experience. International Journal of Sustainable Transportation, 11(4), 308–317. https://doi.org/10.1080/15568318.2016.1253802
   Web of Science ®Google Scholar
• Ji, Y., Ma, X., Yang, M., Jin, Y., & Gao, L. (2018). Exploring spatially varying influences on metro-bikeshare transfer: A geographically weighted Poisson regression approach. Sustainability, 10(5), 1526. https://doi.org/10.3390/su10051526
   Web of Science ®Google Scholar
• Jobe, J., & Griffin, G. P. (2021). Bike share responses to COVID-19. Transportation Research Interdisciplinary Perspectives, 10, 100353. https://doi.org/10.1016/j.trip.2021.100353
   PubMedGoogle Scholar
• Kapuku, C., Kho, S. Y., Kim, D. K., & Cho, S. H. (2020). Modeling the competitiveness of a bike-sharing system using bicycle GPS and transit smartcard data. Transportation Letters, 14(4), 347–351.
   Google Scholar
• Kim, M., & Cho, G. H. (2021). Analysis on bike-share ridership for origin-destination pairs: Effects of public transit route characteristics and land-use patterns. Journal of Transport Geography, 93, 103047. https://doi.org/10.1016/j.jtrangeo.2021.103047
   Web of Science ®Google Scholar
• Kong, H., Jin, S. T., & Sui, D. Z. (2020). Deciphering the relationship between bikesharing and public transit: Modal substitution, integration, and complementation. Transportation Research Part D: Transport and Environment, 85, 102392. https://doi.org/10.1016/j.trd.2020.102392
   Web of Science ®Google Scholar
• Krizek, K. J., & Stonebraker, E. W. (2010). Bicycling and transit: A marriage unrealized. Transportation Research Record: Journal of the Transportation Research Board, 2144(1), 161–167. https://doi.org/10.3141/2144-18
   Google Scholar
• Lee, D., Kim, G., & Han, W. (2017). Analysis of subway interior noise at peak commuter time. Journal of Audiology & Otology, 21(2), 61–65.
   PubMed Web of Science ®Google Scholar
• Lee, M., Hwang, S., Park, Y., & Choi, B. (2022). Factors affecting bike-sharing system demand by inferred trip purpose: Integration of clustering of travel patterns and geospatial data analysis. International Journal of Sustainable Transportation, 16(9), 847–860.
   Web of Science ®Google Scholar
• Li, X., Zhang, Y., Du, M., & Yang, J. (2019). Social factors influencing the choice of bicycle: Difference analysis among private bike, public bike sharing and free-floating bike sharing in Kunming. KSCE Journal of Civil Engineering, 23(5), 2339–2348. https://doi.org/10.1007/s12205-019-2078-7
   Web of Science ®Google Scholar
• Mattson, J., & Godavarthy, R. (2017). Bike share in Fargo, North Dakota: Key to success and factors affecting ridership. Sustainable Cities and Society, 34, 174–182. https://doi.org/10.1016/j.scs.2017.07.001
   Web of Science ®Google Scholar
• Martin, E. W., & Shaheen, S. A. (2014). Evaluating public transit modal shift dynamics in response to bikesharing: A tale of two U.S. cites. Journal of Transport Geography, 41, 315–324. https://doi.org/10.1016/j.jtrangeo.2014.06.026
   Web of Science ®Google Scholar
• McFadden, D., Tye, W. B., & Train, K. (1977). An application of diagnostic tests for the independence from irrelevant alternatives property of the multinomial logit model (pp. 39–45). Institute of Transportation Studies, University of California.
   Google Scholar
• McKenzie, G. (2019). Spatiotemporal comparative analysis of scooter-share and bike-share usage patterns in Washington, DC. Journal of Transport Geography, 78, 19–28. https://doi.org/10.1016/j.jtrangeo.2019.05.007
   Web of Science ®Google Scholar
• Midgley, P. (2011). Bicycle-sharing schemes: Enhancing sustainable mobility in urban areas. United Nations, Department of Economic and Social Affairs, 8, 1–12.
   Google Scholar
• Mohanty, S., & Blanchard, S. D. (2016). Complete transit: Evaluating walking and biking to transit using a mixed logit mode choice model (No. 16-2803).
   Google Scholar
• Murphy, E., & Usher, J. (2015). The role of bicycle-sharing in the city: Analysis of the Irish experience. International Journal of Sustainable Transportation, 9(2), 116–125. https://doi.org/10.1080/15568318.2012.748855
   Web of Science ®Google Scholar
• Noland, R. B., Smart, M. J., & Guo, Z. (2019). Bikesharing trip patterns in New York City: Associations with land use, subways, and bicycle lanes. International Journal of Sustainable Transportation, 13(9), 664–674. https://doi.org/10.1080/15568318.2018.1501520
   Web of Science ®Google Scholar
• Orvin, M. M., & Fatmi, M. R. (2021). Why individuals choose dockless bike sharing services? Travel Behaviour and Society, 22, 199–206. https://doi.org/10.1016/j.tbs.2020.10.001
   Web of Science ®Google Scholar
• Pucher, J., & Buehler, R. (2009). Integrating bicycling and public transport in North America. Journal of Public Transportation, 12(3), 79–104. https://doi.org/10.5038/2375-0901.12.3.5
   Google Scholar
• Qiu, L. Y., & He, L. Y. (2018). Bike sharing and the economy, the environment, and health-related externalities. Sustainability, 10(4), 1145. https://doi.org/10.3390/su10041145
   Web of Science ®Google Scholar
• Radzimski, A., & Dzięcielski, M. (2021). Exploring the relationship between bike-sharing and public transport in Poznań, Poland. Transportation Research Part A: Policy and Practice, 145, 189–202.
   Web of Science ®Google Scholar
• Saberi, M., Ghamami, M., Gu, Y., Shojaei, M. H. S., & Fishman, E. (2018). Understanding the impacts of a public transit disruption on bicycle sharing mobility patterns: A case of Tube strike in London. Journal of Transport Geography, 66, 154–166. https://doi.org/10.1016/j.jtrangeo.2017.11.018
   Web of Science ®Google Scholar
• Saghapour, T., Moridpour, S., & Thompson, R. G. (2017). Measuring cycling accessibility in metropolitan areas. International Journal of Sustainable Transportation, 11(5), 381–394. https://doi.org/10.1080/15568318.2016.1262927
   Web of Science ®Google Scholar
• Schwab, J. A. (2002). Multinomial logistic regression: Basic relationships and complete problems.
   Google Scholar
• Shaheen, S., Martin, E., & Cohen, A. (2013). Public Bikesharing and modal shift behavior: A comparative study of early bikesharing systems in North America. International Journal of Transportation, 1(1), 35–54. https://doi.org/10.14257/ijt.2013.1.1.03
   Google Scholar
• Son, J. Y. (2021, Nov 17). Controversy over ‘Kakao T-bike’ threatens public bicycles. The JoongAng. https://jmagazine.joins.com/monthly/view/334899.
   Google Scholar
• Sung, S. H. (2021, Apr 29). Seoul’s 'Ttareungi’ forgot 10 billion won a year. Hankyung Politics. https://www.hankyung.com/politics/article/202104291609i.
   Google Scholar
• Tamakloe, R., Hong, J., & Tak, J. (2021). Determinants of transit-oriented development efficiency focusing on an integrated subway, bus and shared-bicycle system: Application of Simar-Wilson’s two-stage approach. Cities, 108, 102988. https://doi.org/10.1016/j.cities.2020.102988
   Web of Science ®Google Scholar
• Tang, Y., Pan, H., & Shen, Q. (2011). Bike-sharing systems in Beijing, Shanghai, and Hangzhou and their impact on travel behavior. Paper Presented at the 90th Transportation Research Board Annual Meeting 2011, Washington, DC.
   Google Scholar
• Teixeira, J. F., & Lopes, M. (2020). The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York’s Citi Bike. Transportation Research Interdisciplinary Perspectives, 6, 100166.
   PubMedGoogle Scholar
• Tirachini, A., & Cats, O. (2020). COVID-19 and public transportation: Current assessment, prospects, and research needs. Journal of Public Transportation, 22(1), 1. https://doi.org/10.5038/2375-0901.22.1.1
   PubMed Web of Science ®Google Scholar
• Wang, R., & Liu, C. (2013). Bicycle-transit Integration in the United States, 2001–2009. Journal of Public Transportation, 16(3), 95–119. https://doi.org/10.5038/2375-0901.16.3.6
   Web of Science ®Google Scholar
• Wang, J., & Lindsey, G. (2019). Neighborhood socio-demographic characteristics and bike share member patterns of use. Journal of Transport Geography, 79, 102475. https://doi.org/10.1016/j.jtrangeo.2019.102475
   Web of Science ®Google Scholar
• Wang, K., Akar, G., & Chen, Y. J. (2018). Bike sharing differences among millennials, Gen Xers, and baby boomers: Lessons learnt from New York City’s bike share. Transportation Research Part A: Policy and Practice, 116, 1–14.
   Web of Science ®Google Scholar
• Winters, M., Hosford, K., & Javaheri, S. (2019). Who are the ‘super-users’ of public bike share? An analysis of public bike share members in Vancouver. Preventive Medicine Reports, 15, 100946.
   PubMedGoogle Scholar
• Xu, S. J., & Chow, J. Y. (2020). A longitudinal study of bike infrastructure impact on bikesharing system performance in New York City. International Journal of Sustainable Transportation, 14(11), 886–902. https://doi.org/10.1080/15568318.2019.1645921
   Web of Science ®Google Scholar
• Xu, Y., Chen, D., Zhang, X., Tu, W., Chen, Y., Shen, Y., & Ratti, C. (2019). Unravel the landscape and pulses of cycling activities from a dockless bike-sharing system. Computers, Environment and Urban Systems, 75, 184–203. https://doi.org/10.1016/j.compenvurbsys.2019.02.002
   Web of Science ®Google Scholar
• Younes, H., Zou, Z., Wu, J., & Baiocchi, G. (2020). Comparing the temporal determinants of dockless scooter-share and station-based bike-share in Washington, DC. Transportation Research Part A: Policy and Practice, 134, 308–320.
   Web of Science ®Google Scholar
• Zhu, R., Zhang, X., Kondor, D., Santi, P., & Ratti, C. (2020). Understanding spatio-temporal heterogeneity of bike-sharing and scooter-sharing mobility. Computers, Environment and Urban Systems, 81, 101483. https://doi.org/10.1016/j.compenvurbsys.2020.101483
   Web of Science ®Google Scholar