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Big data in public transportation: a review of sources and methods

Citations

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Cited by:

  1. Guzman, Luis A. & Beltran, Carlos & Bonilla, Jorge & Gomez Cardona, Santiago, 2021. "BRT fare elasticities from smartcard data: Spatial and time-of-the-day differences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 335-348.
  2. Nadav Shalit & Michael Fire & Eran Ben-Elia, 2023. "A supervised machine learning model for imputing missing boarding stops in smart card data," Public Transport, Springer, vol. 15(2), pages 287-319, June.
  3. Shaw, F. Atiyya & Wang, Xinyi & Mokhtarian, Patricia L. & Watkins, Kari E., 2021. "Supplementing transportation data sources with targeted marketing data: Applications, integration, and internal validation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 150-169.
  4. repec:osf:socarx:kd6bq_v1 is not listed on IDEAS
  5. Ghaemi Asl, Mahdi & Nie, Pu-yan & Charkh, Cyrus, 2024. "Cycles-specific benefits of smart transport for sustainable investing: Global and regional perspectives with different ethical paradigms," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
  6. Wei, Ming, 2022. "Investigating the influence of weather on public transit passenger’s travel behaviour: Empirical findings from Brisbane, Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 36-51.
  7. Liao, Cong & Scheuer, Bronte, 2022. "Evaluating the performance of transit-oriented development in Beijing metro station areas: Integrating morphology and demand into the node-place model," Journal of Transport Geography, Elsevier, vol. 100(C).
  8. Wang, Zi-Jia & Jia, Hui-Hui & Dai, Fangzhou & Diao, Mi, 2022. "Understanding the ground access and airport choice behavior of air passengers using transit payment transaction data," Transport Policy, Elsevier, vol. 127(C), pages 179-190.
  9. Villani, Mattias & Quiroz, Matias & Kohn, Robert & Salomone, Robert, 2024. "Spectral Subsampling MCMC for Stationary Multivariate Time Series with Applications to Vector ARTFIMA Processes," Econometrics and Statistics, Elsevier, vol. 32(C), pages 98-121.
  10. Baudains, Peter & Kalatian, Arash & Choudhury, Charisma F. & Manley, Ed, 2024. "Social inequality and the changing patterns of travel in the pandemic and post-pandemic era," Journal of Transport Geography, Elsevier, vol. 118(C).
  11. Chung, Sai-Ho, 2021. "Applications of smart technologies in logistics and transport: A review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
  12. Sipetas, Charalampos & Geržinič, Nejc & Huang, Zhiren & Cats, Oded & Mladenović, Miloš N., 2026. "Year-on-year analysis of multi-modal digital travel diaries: Temporal, spatial and modal traveler profiles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 203(C).
  13. Å. Jevinger & C. Zhao & J. A. Persson & P. Davidsson, 2024. "Artificial intelligence for improving public transport: a mapping study," Public Transport, Springer, vol. 16(1), pages 99-158, March.
  14. Yang, Hongtai & Ping, An & Wei, Hongmin & Zhai, Guocong, 2023. "Unique in the metro system: The likelihood to re-identify a metro user with limited trajectory points," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).
  15. Karner, Alex, 2021. "People-focused and Near-term Public Transit Performance Analysis," SocArXiv kd6bq, Center for Open Science.
  16. Liping Ge & Malek Sarhani & Stefan Voß & Lin Xie, 2021. "Review of Transit Data Sources: Potentials, Challenges and Complementarity," Sustainability, MDPI, vol. 13(20), pages 1-37, October.
  17. Okkie Putriani & Sigit Priyanto & Imam Muthohar & Mukhammad Rizka Fahmi Amrozi, 2022. "Millimetre Wave and Sub-6 5G Readiness of Mobile Network Big Data for Public Transport Planning," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
  18. Maximiliano Lizana & Charisma Choudhury & David Watling, 2024. "Investigating the potential of aggregated mobility indices for inferring public transport ridership changes," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-24, January.
  19. Piotr Sawicki & Hanna Sawicka & Marek Karkula & Krzysztof Zajda, 2025. "Combined Rough Sets and Rule-Based Expert System to Support Environmentally Oriented Sandwich Pallet Loading Problem," Energies, MDPI, vol. 18(2), pages 1-48, January.
  20. Erick Yohanes Kalengkongan & Wilson Bogar & Fitri H. Mamonto, 2022. "The Quality of Vehicles' Public Service Testing in The Tomohon Transportation Department," Technium Social Sciences Journal, Technium Science, vol. 32(1), pages 62-75, June.
  21. Glyniadakis, Sofia & Balestieri, José Antônio Perrella, 2023. "Brazilian light vehicle fleet decarbonization scenarios for 2050," Energy Policy, Elsevier, vol. 181(C).
  22. Galliani, Greta & Secchi, Piercesare & Ieva, Francesca, 2024. "Estimation of dynamic Origin–Destination matrices in a railway transportation network integrating ticket sales and passenger count data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
  23. Cong Liao & Teqi Dai, 2022. "Is “Attending Nearby School” Near? An Analysis of Travel-to-School Distances of Primary Students in Beijing Using Smart Card Data," Sustainability, MDPI, vol. 14(7), pages 1-12, April.
  24. Michał Zawodny & Maciej Kruszyna, 2022. "Proposals for Using the Advanced Tools of Communication between Autonomous Vehicles and Infrastructure in Selected Cases," Energies, MDPI, vol. 15(18), pages 1-15, September.
  25. Christine Keller & Felix Glück & Carl Friedrich Gerlach & Thomas Schlegel, 2022. "Investigating the Potential of Data Science Methods for Sustainable Public Transport," Sustainability, MDPI, vol. 14(7), pages 1-26, April.
  26. Tang, Tianli & Gu, Ziyuan & Yang, Yuanxuan & Sun, Haobo & Chen, Siyuan & Chen, Yuting, 2024. "A data-driven framework for natural feature profile of public transport ridership: Insights from Suzhou and Lianyungang, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
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