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Assessing the impact of the Paris 2024 Olympic Games on bicycle lane utilization with electric bike-sharing data

Author

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  • Liu, Xinge
  • Chen, Ziang
  • Ji, Yanjie
  • Tang, Dounan
  • Thigpen, Calvin

Abstract

Major sporting events like the Olympics often catalyze urban mobility investments, yet their lasting impacts on transportation infrastructure remain understudied. This study assesses the effect of the Paris 2024 Olympic Games on bicycle lane utilization, leveraging electric bike-sharing data from Lime and spatio-temporal econometric models. Using a composite cycling network integrating the Réseau Cyclable Olympique (RCO) and other bike lanes from OpenStreetMap, we analyze 6.8 million trips from June to September 2024. A Difference-in-differences framework distinguishes treatment effects between the Inter-competition site links and “Cycling Games” Network, while Spatial Difference-in-differences quantifies spillover effects across the RCO buffer zones. Results reveal a peak surge in bicycle kilometers traveled (BKT) on inter-competition links during peak Olympic days, driven by spectator mobility, though for post-Olympics the utilization exhibited no significant difference compared to “Cycling Games” Network. All post-Olympic buffers experienced demand collapse due to conditional reliance on event-driven traffic in contrast to the Olympic phase. Compared to pre-Olympic, spatial analysis highlights post-Paralympic hierarchical spillovers with buffer zones retaining 26%, 29.6% and 58.7% of Olympic usage respectively. The RCO accommodated substantial bicycle travel demand during the event, thus effectively absorbing the impact of Olympic-induced traffic surges. The RCO’s legacy demonstrates transient demand capture and spatial dependency, emphasizing the need to embed Olympic bike lane infrastructure within permanent cycling networks. Policy implications stress integrating event corridors with long-term urban mobility plans to sustain usage and mitigate post-event fragility. This study advances evidence-based strategies for converting mega-event investments into resilient, low-carbon transportation systems.

Suggested Citation

  • Liu, Xinge & Chen, Ziang & Ji, Yanjie & Tang, Dounan & Thigpen, Calvin, 2026. "Assessing the impact of the Paris 2024 Olympic Games on bicycle lane utilization with electric bike-sharing data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 209(C).
    • Handle: RePEc:eee:transa:v:209:y:2026:i:c:s0965856426001370
    DOI: 10.1016/j.tra.2026.104996
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    as
    1. Jean Dubé & Diègo Legros, 2013. "Dealing with spatial data pooled over time in statistical models," Letters in Spatial and Resource Sciences, Springer, vol. 6(1), pages 1-18, March.
    2. Yan, Linnan & Tu, Menger & Chagas, André L.S. & Tai, Lufeng, 2022. "The impact of high-speed railway on labor spatial misallocation—Based on spatial difference-in-differences analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 82-97.
    3. Fredrik N G Andersson & Lars Jonung, 2024. "The Covid‐19 lesson from Sweden: Don't lock down," Economic Affairs, Wiley Blackwell, vol. 44(1), pages 3-16, February.
    4. Delgado, Michael S. & Florax, Raymond J.G.M., 2015. "Difference-in-differences techniques for spatial data: Local autocorrelation and spatial interaction," Economics Letters, Elsevier, vol. 137(C), pages 123-126.
    5. Bardaka, Eleni & Delgado, Michael S. & Florax, Raymond J.G.M., 2019. "A spatial multiple treatment/multiple outcome difference-in-differences model with an application to urban rail infrastructure and gentrification," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 325-345.
    6. Dubé, Jean & Legros, Diègo & Thériault, Marius & Des Rosiers, François, 2014. "A spatial Difference-in-Differences estimator to evaluate the effect of change in public mass transit systems on house prices," Transportation Research Part B: Methodological, Elsevier, vol. 64(C), pages 24-40.
    7. Shahriari, Siroos & Siripanich, Amarin & Rashidi, Taha, 2024. "Estimating the impact of cycling infrastructure improvements on usage: A spatial difference-in-differences approach," Journal of Transport Geography, Elsevier, vol. 121(C).
    8. Yuan Liang & Bingjie Yu & Xiaojian Zhang & Yi Lu & Linchuan Yang, 2022. "The Short-term Impact of Congestion Taxes on Ridesourcing Demand and Traffic Congestion: Evidence from Chicago," Papers 2207.01793, arXiv.org, revised Feb 2023.
    9. Foreman, Kate, 2016. "Crossing the bridge: The effects of time-varying tolls on curbing congestion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 76-94.
    10. Zheng, Yunhan & Meredith-Karam, Patrick & Stewart, Anson & Kong, Hui & Zhao, Jinhua, 2023. "Impacts of congestion pricing on ride-hailing ridership: Evidence from Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    11. Diao, Mi & Leonard, Delon & Sing, Tien Foo, 2017. "Spatial-difference-in-differences models for impact of new mass rapid transit line on private housing values," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 64-77.
    12. Liang, Yuan & Yu, Bingjie & Zhang, Xiaojian & Lu, Yi & Yang, Linchuan, 2023. "The short-term impact of congestion taxes on ridesourcing demand and traffic congestion: Evidence from Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    13. Deng, Yiling & Zhao, Pengjun, 2022. "The impact of new metro on travel behavior: Panel analysis using mobile phone data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 46-57.
    14. Rojas, Alexandra, 2024. "Train stations’ impact on housing prices: Direct and indirect effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    15. Marynia Kolak & Luc Anselin, 2020. "A Spatial Perspective on the Econometrics of Program Evaluation," International Regional Science Review, , vol. 43(1-2), pages 128-153, January.
    16. Boarnet, Marlon G & Lee, Seula & Gross, James & Thigpen, Calvin, 2023. "Slow Streets and Dockless Travel: Using a Natural Experiment for Insight into the Role of Supportive Infrastructure on Non-Motorized Travel," Institute of Transportation Studies, Working Paper Series qt244529qz, Institute of Transportation Studies, UC Davis.
    17. Wang, Jingyuan & Terabe, Shintaro & Yaginuma, Hideki & Uno, Haruka & Suzuki, Yu, 2024. "Do high-speed railways have an impact on population change? evidence from Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    18. Wang, Mingshu & Zhou, Xiaolu, 2017. "Bike-sharing systems and congestion: Evidence from US cities," Journal of Transport Geography, Elsevier, vol. 65(C), pages 147-154.
    19. GFDRR & World Bank, 2024. "Lessons from Disaster Governance," World Bank Publications - Reports 41826, The World Bank Group.
    20. Dantsuji, Takao & Nakagawa, Masaki, 2025. "Understanding changes in traffic demand during the Tokyo 2020 Olympic and Paralympic Games," Transportation Research Part A: Policy and Practice, Elsevier, vol. 191(C).
    21. Qiu, Feng & Tong, Qingmeng, 2021. "A spatial difference-in-differences approach to evaluate the impact of light rail transit on property values," Economic Modelling, Elsevier, vol. 99(C).
    22. Roig-Costa, Oriol & Miralles-Guasch, Carme & Marquet, Oriol, 2025. "Unpacking the docked bike-sharing experience. A bike-along study on the infrastructural constraints and determinants of everyday bike-sharing use," Journal of Transport Geography, Elsevier, vol. 125(C).
    23. Linnan Yan & Menger Tu & Andre Luis Squarize Chagas & Lufeng Tai, 2022. "The Impact of High-Speed Rail on Labor Spatial Misallocation-Based on Spatial Difference-in-Differences Analysis," Working Papers, Department of Economics 2022_19, University of São Paulo (FEA-USP).
    24. Chahine, Ricardo & Duarte, Jorge & Gkritza, Konstantina, 2025. "Effect of protected bike lanes on bike-sharing ridership: A New York City case study," Journal of Transport Geography, Elsevier, vol. 123(C).
    25. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    26. Parkes, Stephen D. & Jopson, Ann & Marsden, Greg, 2016. "Understanding travel behaviour change during mega-events: Lessons from the London 2012 Games," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 104-119.
    27. ., 2024. "Lessons from the consumer electronics industry," Chapters, in: Concise Introduction to Global Supply Chain Management, chapter 5, pages 65-91, Edward Elgar Publishing.
    28. Pengjun Zhao & Peilin Li, 2021. "Rethinking the determinants of vehicle kilometers traveled (VKT) in an auto-dependent city: transport policies, socioeconomic factors and the built environment," Transportation Planning and Technology, Taylor & Francis Journals, vol. 44(3), pages 273-302, April.
    29. Wang, Lisha & Miwa, Tomio & Jiang, Meilan & Morikawa, Takayuki, 2021. "Heterogeneous residential distribution changes and spillover effects by railway projects: The case study of Nagoya, Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 145-163.
    30. Tera, H. & Hadachi, A. & Pourmoradnasseri, M., 2025. "Data-driven approach for assessing the impact of newly developed cycling infrastructure on cyclists' route choice," Journal of Transport Geography, Elsevier, vol. 123(C).
    31. ., 2024. "Lessons of the 1990s: back to PPP basics," Chapters, in: The Rise and Fall of Public–Private Partnerships, chapter 3, pages 47-69, Edward Elgar Publishing.
    32. Kuo, Pei-Fen & Shen, Chung-Wei & Chiu, Chui-Sheng, 2021. "The impact of large-scale events: A difference-in-difference model for a Pokémon go safari zone event in Tainan and its effect on bikeshare systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 283-299.
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