Big data in public transportation: a review of sources and methods
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DOI: 10.1080/01441647.2019.1616849
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Cited by:
- 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).
- 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).
- 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.
- 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.
- 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).
- Karner, Alex, 2021. "People-focused and Near-term Public Transit Performance Analysis," SocArXiv kd6bq, Center for Open Science.
- 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.
- 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.
- Glyniadakis, Sofia & Balestieri, José Antônio Perrella, 2023. "Brazilian light vehicle fleet decarbonization scenarios for 2050," Energy Policy, Elsevier, vol. 181(C).
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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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