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The Effect of Gender and Age in Small Bicycle Sharing Systems: Case Study from Logroño, Spain

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  • Alexandra Cortez-Ordoñez

    (Departamento de Estadística e Investigación Operativa, Universidad Politécnica de Catalunya, 08034 Barcelona, Spain)

  • Ana Belén Tulcanaza-Prieto

    (Escuela de Negocios, Universidad de Las Américas, UDLA, Quito 170124, Ecuador)

Abstract

During recent years, bike sharing systems (BSS) have been adopted in many large cities around the world. Thanks to their environmental and health benefits, BSS’ popularity as a green transportation mode is exponentially increasing and many small cities are also adopting them. However, few of these small cities have the resources to manage and analyze the massive amount of data produced by these systems in order to optimize them and promote their use among citizens. This manuscript analyzes BiciLog (Logroño, Spain) data and studies customers’ usage patterns, disaggregated by gender and age. The t -test is the inferential statistic test employed to compare the equality of the means among different groups. Results show differences in how women and men are using the BiciLog system. Women use the system less but ride for longer than men. There are also differences between age groups. Most of the users are between 20 and 29 years old. However, customers between 60 and 69 years old are also extensively using BSS. In fact, they not only make more trips but also their rides are around three times longer than customers in other age groups. These results can be used by BiciLog operators to create and evaluate campaigns to motivate BSS use among target groups and improve the system based on customers’ preferences. The main limitation of this investigation is the lack of data available to calculate additional information such as the real distance covered by customers when riding, or their preferred routes. For future research, a longer data period can be considered to compare usage patterns across different years. Additionally, customer surveys can help us to understand their motivations to use the system and corroborate the results found in this study.

Suggested Citation

  • Alexandra Cortez-Ordoñez & Ana Belén Tulcanaza-Prieto, 2023. "The Effect of Gender and Age in Small Bicycle Sharing Systems: Case Study from Logroño, Spain," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:7925-:d:1145164
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    References listed on IDEAS

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    1. Jia Shu & Mabel C. Chou & Qizhang Liu & Chung-Piaw Teo & I-Lin Wang, 2013. "Models for Effective Deployment and Redistribution of Bicycles Within Public Bicycle-Sharing Systems," Operations Research, INFORMS, vol. 61(6), pages 1346-1359, December.
    2. Ruben Talavera-Garcia & Gustavo Romanillos & Daniela Arias-Molinares, 2021. "Examining spatio-temporal mobility patterns of bike-sharing systems: the case of BiciMAD (Madrid)," Journal of Maps, Taylor & Francis Journals, vol. 17(1), pages 7-13, January.
    3. Bhat, Chandra R. & Astroza, Sebastian & Hamdi, Amin S., 2017. "A spatial generalized ordered-response model with skew normal kernel error terms with an application to bicycling frequency," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 126-148.
    4. Wang, Kailai & Akar, Gulsah, 2019. "Gender gap generators for bike share ridership: Evidence from Citi Bike system in New York City," Journal of Transport Geography, Elsevier, vol. 76(C), pages 1-9.
    5. Tomasz Bieliński & Łukasz Dopierała & Maciej Tarkowski & Agnieszka Ważna, 2020. "Lessons from Implementing a Metropolitan Electric Bike Sharing System," Energies, MDPI, vol. 13(23), pages 1-21, November.
    6. Xie, Xiao-Feng & Wang, Zunjing Jenipher, 2018. "Examining travel patterns and characteristics in a bikesharing network and implications for data-driven decision supports: Case study in the Washington DC area," Journal of Transport Geography, Elsevier, vol. 71(C), pages 84-102.
    7. Kyle Gebhart & Robert Noland, 2014. "The impact of weather conditions on bikeshare trips in Washington, DC," Transportation, Springer, vol. 41(6), pages 1205-1225, November.
    8. Susan Shaheen & Nelson Chan & Helen Micheaux, 2015. "One-way carsharing’s evolution and operator perspectives from the Americas," Transportation, Springer, vol. 42(3), pages 519-536, May.
    9. Elliot Fishman, 2016. "Bikeshare: A Review of Recent Literature," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 92-113, January.
    10. Kim, Kyoungok, 2018. "Investigation on the effects of weather and calendar events on bike-sharing according to the trip patterns of bike rentals of stations," Journal of Transport Geography, Elsevier, vol. 66(C), pages 309-320.
    11. Faghih-Imani, Ahmadreza & Eluru, Naveen & El-Geneidy, Ahmed M. & Rabbat, Michael & Haq, Usama, 2014. "How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal," Journal of Transport Geography, Elsevier, vol. 41(C), pages 306-314.
    12. Younes, Hannah & Zou, Zhenpeng & Wu, Jiahui & Baiocchi, Giovanni, 2020. "Comparing the Temporal Determinants of Dockless Scooter-share and Station-based Bike-share in Washington, D.C," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 308-320.
    13. Wafic El-Assi & Mohamed Salah Mahmoud & Khandker Nurul Habib, 2017. "Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto," Transportation, Springer, vol. 44(3), pages 589-613, May.
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    1. Alexandra Cortez-Ordoñez & Ana Belén Tulcanaza-Prieto, 2024. "Are We Back to Normal? A Bike Sharing Systems Mobility Analysis in the Post-COVID-19 Era," Sustainability, MDPI, vol. 16(14), pages 1-19, July.

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