Exploring the factors affecting bike sharing usage in developing countries: a case study on Chandigarh, India

References

• Benedini, D. J., Lavieri, P. S., & Strambi, O. (2019). Understanding the use of private and shared bicycles in large emerging cities : The case of BrazSao Pauloil Débora J. Benedini * The University of Texas at Austin.
   Google Scholar
• Castillo-Manzano, J. I., & Sánchez-Braza, A. (2013). Managing a smart bicycle system when demand outstrips supply: The case of the university community in Seville. Transportation, 40(2), 459–17. https://doi.org/10.1007/s11116-012-9424-7
   Web of Science ®Google Scholar
• Caulfield, B., O’Mahony, M., Brazil, W., & Weldon, P. (2017). Examining usage patterns of a bike-sharing scheme in a medium-sized city. Transportation Research Part A: Policy and Practice, 100, 152–161. https://doi.org/10.1016/j.tra.2017.04.023
   Web of Science ®Google Scholar
• Corcoran, J., Li, T., Rohde, D., Charles-Edwards, E., & Mateo-Babiano, D. (2014). Spatio-temporal patterns of a public bicycle sharing program: The effect of weather and calendar events. Journal of Transport Geography, 41, 292–305. https://doi.org/10.1016/j.jtrangeo.2014.09.003
   Web of Science ®Google Scholar
• DeMaio, P. (2009). Bike-sharing: History, impacts, models of provision, and future. Journal of Public Transportation, 12(4), 41–56. https://doi.org/10.5038/2375-0901.12.4.3
   Google Scholar
• Dhingra, Kodukula, S., & C. (2010). Public bicycle schemes: Applying the concept in developing cities. GTZ Sustainable Urban Project. Retrieved from. August. 2010. http://www.sutp.org/files/contents/documents/resources/B_TechnicalDocuments/GIZ_SUTP_TD3_Public-Bicycle-Schemes_EN.pdf
   Google Scholar
• Faghih-Imani, A., Hampshire, R., Marla, L., & Eluru, N. (2017). An empirical analysis of bike-sharing usage and rebalancing: Evidence from Barcelona and Seville. Transportation Research Part A: Policy Practice, 97, 177–191. https://doi.org/10.1016/j.tra.2016.12.007
   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. https://doi.org/10.1080/01441647.2013.775612
   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, 71, 17–30. https://doi.org/10.1016/j.tra.2014.10.021
   Google Scholar
• Gauthier, A., Hughes, C., Kost, C., Li, S., Linke, C., Lotshaw, S., & Treviño, X. (2014). The bike-share planning Guide. 152. Retrieved from https://go.itdp.org/display/live/The+Bike-Share+Planning+Guide
   Google Scholar
• Gebhart, K., & Noland, R. B. (2014). The impact of weather conditions on bikeshare trips in Washington, DC. Transportation, 41(6), 1205–1225. https://doi.org/10.1007/s11116-014-9540-7
   Web of Science ®Google Scholar
• Goodman, A., & Cheshire, J. (2014). Inequalities in the London bicycle sharing system revisited: Impacts of extending the scheme to poorer areas but then doubling prices. Journal of Transport Geography, 41, 272–279. https://doi.org/10.1016/j.jtrangeo.2014.04.004
   Web of Science ®Google Scholar
• Hampshire, R. C., & Marla, L. (2012). An analysis of bike sharing usage: Explaining trip generation and attraction from observed demand. Transportation Research Board.
   Google Scholar
• Kumar Machavarapu, P., & Ram, S. (2022a). Infrastructure evaluation, role of public bike sharing systems – global and Indian context. Global and Indian Context, Case Studies on Transport Policy, 10(3), 1841–1854. ISSN 2213-624X. https://doi.org/10.1016/j.cstp.2022.07.013
   Google Scholar
• Kumar Machavarapu, P., & Ram, S. (2022b). Review on public bike share schemes in large developing cities: A case study of Delhi, India. India, Case Studies on Transport Policy, 10(4), 2075–2091. Pages 20752091, ISSN2213-624X. https://doi.org/10.1016/j.cstp.2022.09.009
   Web of Science ®Google Scholar
• Machavarapu, P. K., Ram, S., & Kant, P. (2023). Factors influencing bike share intentions of users in Indian cities: A structural equation modelling approach. Urban, Planning and Transport Research, 11(1). https://doi.org/10.1080/21650020.2023.2276405
   Google Scholar
• Mateo-Babiano, I. (2015). Public bicycle sharing in Asian cities. Journal of the Eastern Asia Society for Transportation Studies, 11, 60–74. December 2015 https://doi.org/10.11175/easts.11.60
   Google Scholar
• Mateo-Babiano, I., Bean, R., Corcoran, J., & Pojani, D. (2016). How does our natural and built environment affect the use of bicycle sharing? transp. Research Part A: Policy Pract, 94, 295–307. https://doi.org/10.1016/j.tra.2016.09.015
   Web of Science ®Google Scholar
• Meddin, R. (2020). https://bikesharingworldmap.com/.
   Google Scholar
• Noland, R. B., Smart, M. J., & Guo, Z. (2016). Bikeshare trip generation in New York City. Transportation Research Part A: Policy and Practice, 94, 164–181. https://doi.org/10.1016/j.tra.2016.08.030
   Web of Science ®Google Scholar
• O’Brien, O., Cheshire, J., & Batty, M. (2014). Mining bicycle sharing data for generating insights into sustainable transport systems. Journal of Transport Geography, 34, 262–273. https://doi.org/10.1016/j.jtrangeo.2013.06.007
   Web of Science ®Google Scholar
• Patel, S. J., & Patel, C. R. (2020). A stakeholders perspective on improving barriers in implementation of public bicycle sharing system (PBSS). Transportation Research Part A: Policy and Practice, 138(September 2019), 353–366. https://doi.org/10.1016/j.tra.2020.06.007
   Google Scholar
• Patel, S. J., Patel, C. R., & Joshi, G. J. (2020). Planning of public bicycle (bike) sharing system (PBSS): A case study of Surat City. Transportation Research Procedia, 48, 2251–2261. https://doi.org/10.1016/j.trpro.2020.08.283
   Google Scholar
• Qu, C., Dong, J., Zhao, P., & Li, Z. (2018). Spatial analysis of factors influencing bike-sharing demand in New York City. Journal of Transport Geography, 71, 291–305.
   Google Scholar
• Schnieder, M. 2023. Ebike Sharing vs. Bike Sharing: Demand Prediction Using Deep Neural Networks and Random Forests. Sustainability, 15, 13898. https://doi.org/10.3390/su151813898
   Web of Science ®Google Scholar
• Shaheen, S., Cohen, A. P., & Martin, E. W. (2013). Public bike-sharing in North America: Early operator understanding and emerging trends. Transportation Research Record: Journal of the Transportation Research Board, 2387(1), 83–92. https://doi.org/10.3141/2387-10
   Google Scholar
• Shaheen, S. A., Guzman, S., & Zhang, H. (2010). Bikesharing in Europe, the Americas, and Asia past. Transportation Research Record: Journal of the Transportation Research Board, 2143(1), 159–167. https://doi.org/10.3141/2143-20
   Web of Science ®Google Scholar
• Shaheen, S. A., Martin, E., Cohen, A., & Finson, R. (2012). Public bikesharing in North America: Early Operator and user understanding.
   Google Scholar
• Sharmeen, F., Ghosh, B., & Mateo-Babiano, I. (2021). Policy, users and discourses: Examples from bikeshare programs in (Kolkata) India and (Manila) Philippines. Journal of Transport Geography, 90, 102898. https://doi.org/10.1016/j.jtrangeo.2020.102898
   Web of Science ®Google Scholar
• Verma, A., Vajjarapu, H., & Thuluthiyil Manoj, M. (2020). Planning and Usage Analysis of Bike Sharing System in a University Campus BT - Recent advances in traffic engineering S. S. Arkatkar, S. Velmurugan, & A. Verma, (Eds.). Springer Singapore.
   Google Scholar
• Widhalm, P., Friesenbichler, K. S., & Zaffalon, M. (2019). Analysis of bike-sharing usage patterns using data mining techniques. Transportation Research Part C: Emerging Technologies, 106, 393–412.
   Google Scholar
• Zhang, Y., Hong, S., & Nasri, A. (2014). A comparative study of discrete choice models for predicting bike-sharing demand. Transportation Research Part C: Emerging Technologies, 38, 6–19.
   Google Scholar
• Zhao, J., Wang, J., & Deng, W. (2015). Exploring bike-sharing travel time and trip chain by gender and day of the week. Transportation Research Part C: Emerging Technologies, 58, 251–264. https://doi.org/10.1016/j.trc.2015.01.030
   Web of Science ®Google Scholar
• Zhou, X., & Chen, Y. (2015). Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago. PloS ONE, 10(10), e0137922. https://doi.org/10.1371/journal.pone.0137922
   PubMed Web of Science ®Google Scholar