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The potential of public transport smart card data

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  1. Sung-Pil Hong & Yun-Hong Min & Myoung-Ju Park & Kyung Min Kim & Suk Mun Oh, 2016. "Precise estimation of connections of metro passengers from Smart Card data," Transportation, Springer, vol. 43(5), pages 749-769, September.
  2. Mohammadi, Neda & Taylor, John E., 2017. "Urban energy flux: Spatiotemporal fluctuations of building energy consumption and human mobility-driven prediction," Applied Energy, Elsevier, vol. 195(C), pages 810-818.
  3. Chiehyeon Lim & Paul P. Maglio, 2018. "Data-Driven Understanding of Smart Service Systems Through Text Mining," Service Science, INFORMS, vol. 10(2), pages 154-180, June.
  4. Egu, Oscar & Bonnel, Patrick, 2020. "How comparable are origin-destination matrices estimated from automatic fare collection, origin-destination surveys and household travel survey? An empirical investigation in Lyon," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 267-282.
  5. 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.
  6. Hörcher, Daniel & Graham, Daniel J. & Anderson, Richard J., 2017. "Crowding cost estimation with large scale smart card and vehicle location data," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 105-125.
  7. Liu, Xiaodong & Zhou, Yuan & Rau, Andreas, 2019. "Smart card data-centric replication of the multi-modal public transport system in Singapore," Journal of Transport Geography, Elsevier, vol. 76(C), pages 254-264.
  8. (Giancarlo) Falcocchio, John C. & Malik, Awais & Kontokosta, Constantine E., 2018. "A data-driven methodology for equitable value-capture financing of public transit operations and maintenance," Transport Policy, Elsevier, vol. 66(C), pages 107-115.
  9. Zhong, Jiaming & He, Zhaocheng & Tian, Chenyu, 2019. "Uncovering quasi-periodicity of transit behavior based on smart card data," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
  10. Paul Davidsson & Banafsheh Hajinasab & Johan Holmgren & Åse Jevinger & Jan A. Persson, 2016. "The Fourth Wave of Digitalization and Public Transport: Opportunities and Challenges," Sustainability, MDPI, vol. 8(12), pages 1-16, November.
  11. Miroslav PLEVNÝ, 2017. "Influence of the Fare Funding Type on Public Transport Demand – Case of Pilsen," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2017(28), pages 45-66, June.
  12. Ruben Sánchez-Corcuera & Adrián Nuñez-Marcos & Jesus Sesma-Solance & Aritz Bilbao-Jayo & Rubén Mulero & Unai Zulaika & Gorka Azkune & Aitor Almeida, 2019. "Smart cities survey: Technologies, application domains and challenges for the cities of the future," International Journal of Distributed Sensor Networks, , vol. 15(6), pages 15501477198, June.
  13. Arbex, Renato & Cunha, Claudio B., 2020. "Estimating the influence of crowding and travel time variability on accessibility to jobs in a large public transport network using smart card big data," Journal of Transport Geography, Elsevier, vol. 85(C).
  14. Masood Jafari Kang & Shervin Ataeian & S. M. Mahdi Amiripour, 2021. "A procedure for public transit OD matrix generation using smart card transaction data," Public Transport, Springer, vol. 13(1), pages 81-100, March.
  15. Kevin Credit & Zander Arnao, 2023. "A method to derive small area estimates of linked commuting trips by mode from open source LODES and ACS data," Environment and Planning B, , vol. 50(3), pages 709-722, March.
  16. Gutiérrez, Aaron & Domènech, Antoni & Zaragozí, Benito & Miravet, Daniel, 2020. "Profiling tourists' use of public transport through smart travel card data," Journal of Transport Geography, Elsevier, vol. 88(C).
  17. Amaya, Margarita & Cruzat, Ramón & Munizaga, Marcela A., 2018. "Estimating the residence zone of frequent public transport users to make travel pattern and time use analysis," Journal of Transport Geography, Elsevier, vol. 66(C), pages 330-339.
  18. Hamed Faroqi & Mahmoud Mesbah & Jiwon Kim & Ali Khodaii, 2022. "Targeted Advertising in the Public Transit Network Using Smart Card Data," Networks and Spatial Economics, Springer, vol. 22(1), pages 97-124, March.
  19. Fielbaum, Andrés & Jara-Diaz, Sergio, 2021. "Assessment of the socio-spatial effects of urban transport investment using Google Maps API," Journal of Transport Geography, Elsevier, vol. 91(C).
  20. 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).
  21. Zijia Wang & Hao Tang & Wenjuan Wang & Yang Xi, 2020. "The Pattern of Non-Roundtrip Travel on Urban Rail and Its Application in Transit Improvement," Sustainability, MDPI, vol. 12(9), pages 1-16, April.
  22. Hänseler, Flurin S. & van den Heuvel, Jeroen P.A. & Cats, Oded & Daamen, Winnie & Hoogendoorn, Serge P., 2020. "A passenger-pedestrian model to assess platform and train usage from automated data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 948-968.
  23. Ying Song & Yingling Fan & Xin Li & Yanjie Ji, 2018. "Multidimensional visualization of transit smartcard data using space–time plots and data cubes," Transportation, Springer, vol. 45(2), pages 311-333, March.
  24. Kolkowski, Lukas & Cats, Oded & Dixit, Malvika & Verma, Trivik & Jenelius, Erik & Cebecauer, Matej & Rubensson, Isak Jarlebring, 2023. "Measuring activity-based social segregation using public transport smart card data," Journal of Transport Geography, Elsevier, vol. 110(C).
  25. Benito Zaragozí & Sergio Trilles & Aaron Gutiérrez & Daniel Miravet, 2021. "Development of a Common Framework for Analysing Public Transport Smart Card Data," Energies, MDPI, vol. 14(19), pages 1-22, September.
  26. Agarwal, Sumit & Diao, Mi & Keppo, Jussi & Sing, Tien Foo, 2020. "Preferences of public transit commuters: Evidence from smart card data in Singapore," Journal of Urban Economics, Elsevier, vol. 120(C).
  27. Wang, Yihong & Correia, Gonçalo Homem de Almeida & de Romph, Erik & Timmermans, H.J.P., 2017. "Using metro smart card data to model location choice of after-work activities: An application to Shanghai," Journal of Transport Geography, Elsevier, vol. 63(C), pages 40-47.
  28. Oscar Egu & Patrick Bonnel, 2020. "Investigating day-to-day variability of transit usage on a multimonth scale with smart card data. A case study in Lyon," Post-Print halshs-03148937, HAL.
  29. Brakewood, Candace & Ziedan, Abubakr & Hendricks, Sara J. & Barbeau, Sean J. & Joslin, Ann, 2020. "An evaluation of the benefits of mobile fare payment technology from the user and operator perspectives," Transport Policy, Elsevier, vol. 93(C), pages 54-66.
  30. Amarin Siripanich & Taha Hossein Rashidi & Emily Moylan, 2019. "Interaction of Public Transport Accessibility and Residential Property Values Using Smart Card Data," Sustainability, MDPI, vol. 11(9), pages 1-24, May.
  31. 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.
  32. Cecilia Viggiano & Haris N. Koutsopoulos & Nigel H. M. Wilson & John Attanucci, 2017. "Journey-based characterization of multi-modal public transportation networks," Public Transport, Springer, vol. 9(1), pages 437-461, July.
  33. Baker, Stuart & White, Peter, 2010. "Impacts of free concessionary travel: Case study of an English rural region," Transport Policy, Elsevier, vol. 17(1), pages 20-26, January.
  34. Bagdatli, Muhammed Emin Cihangir & Ipek, Fatima, 2022. "Transport mode preferences of university students in post-COVID-19 pandemic," Transport Policy, Elsevier, vol. 118(C), pages 20-32.
  35. Anupriya, & Graham, Daniel J. & Hörcher, Daniel & Anderson, Richard J. & Bansal, Prateek, 2020. "Quantifying the ex-post causal impact of differential pricing on commuter trip scheduling in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 16-34.
  36. Zhu, Yiwen & Koutsopoulos, Haris N. & Wilson, Nigel H.M., 2017. "A probabilistic Passenger-to-Train Assignment Model based on automated data," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 522-542.
  37. Yu, Chang & He, Zhao-Cheng, 2017. "Analysing the spatial-temporal characteristics of bus travel demand using the heat map," Journal of Transport Geography, Elsevier, vol. 58(C), pages 247-255.
  38. Qingru Zou & Xiangming Yao & Peng Zhao & Heng Wei & Hui Ren, 2018. "Detecting home location and trip purposes for cardholders by mining smart card transaction data in Beijing subway," Transportation, Springer, vol. 45(3), pages 919-944, May.
  39. Apanasevic, Tatjana & Rudmark, Daniel, 2021. "Crowdsourcing and Public Transportation: Barriers and Opportunities," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238005, International Telecommunications Society (ITS).
  40. Ľudmila Jánošíková & Jiří Slavík & Michal Koháni, 2014. "Estimation of a route choice model for urban public transport using smart card data," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(7), pages 638-648, October.
  41. Takahiko Kusakabe & Takamasa Iryo & Yasuo Asakura, 2010. "Estimation method for railway passengers’ train choice behavior with smart card transaction data," Transportation, Springer, vol. 37(5), pages 731-749, September.
  42. Simon Bell & Francesca Benatti & Neil R. Edwards & Robin Laney & David R. Morse & Lara Piccolo & Oliver Zanetti, 2018. "Smart Cities and M3: Rapid Research, Meaningful Metrics and Co-Design," Systemic Practice and Action Research, Springer, vol. 31(1), pages 27-53, February.
  43. Behrang Assemi & Azalden Alsger & Mahboobeh Moghaddam & Mark Hickman & Mahmoud Mesbah, 2020. "Improving alighting stop inference accuracy in the trip chaining method using neural networks," Public Transport, Springer, vol. 12(1), pages 89-121, March.
  44. Páez, Antonio & Trépanier, Martin & Morency, Catherine, 2011. "Geodemographic analysis and the identification of potential business partnerships enabled by transit smart cards," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(7), pages 640-652, August.
  45. De Zhao & Wei Wang & Amber Woodburn & Megan S. Ryerson, 2017. "Isolating high-priority metro and feeder bus transfers using smart card data," Transportation, Springer, vol. 44(6), pages 1535-1554, November.
  46. Stanislav Sobolevsky & Izabela Sitko & Remi Tachet des Combes & Bartosz Hawelka & Juan Murillo Arias & Carlo Ratti, 2016. "Cities through the Prism of People’s Spending Behavior," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-19, February.
  47. Tao, Sui & Rohde, David & Corcoran, Jonathan, 2014. "Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap," Journal of Transport Geography, Elsevier, vol. 41(C), pages 21-36.
  48. Morency, Catherine & Trépanier, Martin & Agard, Bruno, 2007. "Measuring transit use variability with smart-card data," Transport Policy, Elsevier, vol. 14(3), pages 193-203, May.
  49. 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.
  50. Bernal, Margarita & Welch, Eric W. & Sriraj, P.S., 2016. "The effect of slow zones on ridership: An analysis of the Chicago Transit Authority “El” Blue Line," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 11-21.
  51. Lingjing Wang & Cheng Qian & Philipp Kats & Constantine Kontokosta & Stanislav Sobolevsky, 2017. "Structure of 311 service requests as a signature of urban location," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-21, October.
  52. Bantis, Thanos & Haworth, James, 2020. "Assessing transport related social exclusion using a capabilities approach to accessibility framework: A dynamic Bayesian network approach," Journal of Transport Geography, Elsevier, vol. 84(C).
  53. Kuo, Yong-Hong & Leung, Janny M.Y. & Yan, Yimo, 2023. "Public transport for smart cities: Recent innovations and future challenges," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1001-1026.
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