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Exploring the equity performance of bike-sharing systems with disaggregated data: A story of southern Tampa

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  • Chen, Zhiwei
  • Guo, Yujie
  • Stuart, Amy L.
  • Zhang, Yu
  • Li, Xiaopeng

Abstract

The rising adoption of bike-sharing systems brings significant benefits to individuals and society as a whole. However, whether these benefits are distributed throughout society in a fair manner is still an open question. This study presents a methodological framework for assessing the equity performance of bike-sharing systems, with Coast Bike Share system in southern Tampa as a case study. The framework integrates three different datasets: bike-sharing infrastructure, individual travel itineraries and individual sociodemographic attribute data. With these datasets, we model individual accessibility to activity locations using bike-sharing as the mode of transportation by analyzing the “walking-cycling-walking” process of a bike-sharing trip and the trip-chaining behavior in individuals’ travel itineraries. Further, a series of equity measures are used to analyze equity performance from the perspective of both horizontal and vertical equity. To assess horizontal equity, we apply the Lorenz curve, Gini index and mapped geographic differences. For vertical equity, we compare descriptive statistics by group, perform analysis of variance, and calculate the subgroup inequality index using disaggregated data. Results reveal that accessibility to bike-sharing is not evenly distributed among individuals in the population, within the geographic space, and among different sociodemographic groups of southern Tampa. Further, our results also highlight the need to incorporate high-resolution disaggregated data and tour-based analysis to address the equity performance of bike-sharing systems.

Suggested Citation

  • Chen, Zhiwei & Guo, Yujie & Stuart, Amy L. & Zhang, Yu & Li, Xiaopeng, 2019. "Exploring the equity performance of bike-sharing systems with disaggregated data: A story of southern Tampa," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 529-545.
    • Handle: RePEc:eee:transa:v:130:y:2019:i:c:p:529-545
    DOI: 10.1016/j.tra.2019.09.048
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    1. Chen, Zhiwei & Li, Xiaopeng, 2021. "Unobserved heterogeneity in transportation equity analysis: Evidence from a bike-sharing system in southern Tampa," Journal of Transport Geography, Elsevier, vol. 91(C).
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    3. Gao, Kun & Yang, Ying & Li, Aoyong & Li, Junhong & Yu, Bo, 2021. "Quantifying economic benefits from free-floating bike-sharing systems: A trip-level inference approach and city-scale analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 89-103.
    4. Ilaria Henke & Armando Cartenì & Clorinda Molitierno & Assunta Errico, 2020. "Decision-Making in the Transport Sector: A Sustainable Evaluation Method for Road Infrastructure," Sustainability, MDPI, vol. 12(3), pages 1-19, January.
    5. Navid Nadimi & Rosalia Camporeale & Mostafa Khaleghi & Mohamadreza Haghani & Abbas Sheykhfard & Khaled Shaaban, 2023. "A Method to Determine an Equity Score for Transportation Systems in the Cities," Sustainability, MDPI, vol. 15(7), pages 1-22, March.
    6. Zhang, Si & Sun, Huijun & Wang, Xu & Lv, Ying & Wu, Jianjun, 2022. "Optimization of personalized price discounting scheme for one-way station-based carsharing systems," European Journal of Operational Research, Elsevier, vol. 303(1), pages 220-238.
    7. Duran-Rodas, David & Villeneuve, Dominic & Pereira, Francisco C. & Wulfhorst, Gebhard, 2020. "How fair is the allocation of bike-sharing infrastructure? Framework for a qualitative and quantitative spatial fairness assessment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 299-319.
    8. Kębłowski, Wojciech & Dobruszkes, Frédéric & Boussauw, Kobe, 2022. "Moving past sustainable transport studies: Towards a critical perspective on urban transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 74-83.
    9. Beairsto, Jeneva & Tian, Yufan & Zheng, Linyu & Zhao, Qunshan & Hong, Jinhyun, 2020. "Identifying locations for new bike-sharing stations in Glasgow: an analysis of spatial equity and demand factors," OSF Preprints apyfn, Center for Open Science.
    10. Willberg, Elias & Salonen, Maria & Toivonen, Tuuli, 2021. "What do trip data reveal about bike-sharing system users?," Journal of Transport Geography, Elsevier, vol. 91(C).
    11. Giuffrida, Nadia & Pilla, Francesco & Carroll, Páraic, 2023. "The social sustainability of cycling: Assessing equity in the accessibility of bike-sharing services," Journal of Transport Geography, Elsevier, vol. 106(C).
    12. Chen, Qingxin & Fu, Chenyi & Zhu, Ning & Ma, Shoufeng & He, Qiao-Chu, 2023. "A target-based optimization model for bike-sharing systems: From the perspective of service efficiency and equity," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 235-260.
    13. Sweet, Matthias N. & Scott, Darren M., 2021. "Shared mobility adoption from 2016 to 2018 in the Greater Toronto and Hamilton Area: Demographic or geographic diffusion?," Journal of Transport Geography, Elsevier, vol. 96(C).
    14. Cascetta, Ennio & Cartenì, Armando & Henke, Ilaria & Pagliara, Francesca, 2020. "Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 412-428.
    15. Anaya-Boig, Esther & Cebollada, Àngel & Castelló Bueno, Marc, 2022. "Measuring spatial inequalities in the access to station-based bike-sharing in Barcelona using an Adapted Affordability Index," Journal of Transport Geography, Elsevier, vol. 98(C).
    16. Meng, Si'an & Brown, Anne, 2021. "Docked vs. dockless equity: Comparing three micromobility service geographies," Journal of Transport Geography, Elsevier, vol. 96(C).

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