Use of smart card fare data to estimate public transport origin-destination matrix

Transportation Research Record

Volumn 2535, Issue , 2015, Pages 88-96

  Alsger, Azalden A ^a   Mesbah, Mahmoud ^a   Ferreira, Luis ^a   Safi, Hamid ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

MATRIX ALGEBRA; SENSITIVITY ANALYSIS; TRANSPORTATION ROUTES;

ACTIVITY TIME; AUSTRALIA; BRISBANE; ORIGIN DESTINATION MATRICES; ORIGIN-DESTINATION PAIRS; PUBLIC TRANSPORT; QUEENSLAND; TRANSFER TIME; USER TRANSACTION;

SMART CARDS;

EID: 84969223096     PISSN: 03611981     EISSN: 21694052     Source Type: Journal    
DOI: 10.3141/2535-10     Document Type: Article

References (21)

1. Agard, B., C. Morency, and M. Trépanier. Mining Public Transport User Behaviour from Smart Card Data. Information Control Problems in Manufacturing, Vol. 12, No. 1, 2006, pp. 399-404.
2. Bagchi, M., and P. White. The Potential of Public Transport Smart Card Data. Transport Policy, Vol. 12, No. 5, 2005, pp. 464-474.
3. Utsunomiya, M., J. Attanucci, and N. Wilson. Potential Uses of Transit Smart Card Registration and Transaction Data to Improve Transit Planning. In Transportation Research Record: Journal of the Transportation Research Board, No. 1971, Transportation Research Board of the National Academies, Washington, D. C., 2006, pp. 119-126.
4. Morency, C., M. Trépanier, and B. Agard. Analysing the Variability of Transit Users Behaviour with Smart Card Data. Proc., 9th IEEE Conference on Intelligent Transportation Systems, Toronto, Ontario, Canada, 2006, pp. 41-49.
5. Morency, C., M. Trépanier, and B. Agard. Measuring Transit Use Variability with Smart-Card Data. Transport Policy, Vol. 14, No. 3, 2007, pp. 193-203.
6. Munizaga, M., C. Palma, and P. Mora. Public Transport OD Matrix Estimation from Smart Card Payment System Data. Proc., 12th World Conference on Transport Research, Lisbon, Portugal, 2010.
7. Wang, W. Bus Passenger Origin-Destination Estimation and Travel Behavior Using Automated Data Collection Systems in London, UK. MS thesis. Massachusetts Institute of Technology, Cambridge, 2010.
8. Zhao, J., A. Rahbee, and N. Wilson. Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems. Computer Aided Civil and Infrastructure Engineering, Vol. 22, No. 5, 2007, pp. 376-387.
9. Cui, A. Bus Passenger Origin-Destination Matrix Estimation Using Automated Data Collection Systems. MS thesis. Massachusetts Institute of Technology, Cambridge, 2006.
10. Munizaga, M. A., and C. Palma. Estimation of a Disaggregate Multimodal Public Transport Origin-Destination Matrix from Passive Smart Card Data from Santiago, Chile. Transportation Research Part C: Emerging Technologies, Vol. 24, 2012, pp. 9-18.
11. Nassir, N., A. Khani, S. G. Lee, H. Noh, and M. Hickman. Transit Stop-Level Origin-Destination Estimation Through Use of Transit Schedule and Automated Data Collection System. In Transportation Research Record: Journal of the Transportation Research Board, No. 2263, Transportation Research Board of the National Academies, Washington, D. C., 2011, pp. 140-150.
12. Farzin, J. M. Constructing an Automated Bus Origin-Destination Matrix Using Farecard and Global Positioning System Data in São Paulo, Brazil. In Transportation Research Record: Journal of the Transportation Research Board, No. 2072, Transportation Research Board of the National Academies, Washington, D. C., 2008, pp. 30-37.
13. Barry, J. J., R. Newhouser, A. Rahbee, and S. Sayeda. Origin and Destination Estimation in New York City with Automated Fare System Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 1817, Transportation Research Board of the National Academies, Washington, D. C., 2002, pp. 183-187.
14. Munizaga, M. A., F. Devillaine, C. Navarrete, and D. Silva. Validating Travel Behavior Estimated from Smartcard Data. Transportation Research Part C: Emerging Technologies, Vol. 44, 2014, pp. 70-79.
15. Bagchi, M., and P. White. What Role for Smart-Card Data from Bus Systems? Municipal Engineer, Vol. 157, No. 1, 2004, pp. 39-46.
16. Kieu, L., A. Bhaskar, and E. Chung. Mining Temporal and Spatial Travel Regularity for Transit Planning. Presented at 36th Australasian Transport Research Forum (ATRF), Brisbane, Queensland, Australia, 2013.
17. Ma, X., Y. J. Wu, F. Chen, and J. Liu. Mining Smart Card Data for Transit Riders' Travel Patterns. Transportation Research Part C: Emerging Technologies, Vol. 36, 2013, pp. 1-12.
18. Hofmann, M., and M. O'Mahony. Transfer Journey Identification and Analyses from Electronic Fare Collection Data. Proc., 8th IEEE Conference on Intelligent Transportation Systems, Vienna, Austria, 2005, pp. 34-39.
19. Seaborn, C., J. Attanucci, and N. H. M. Wilson. Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 2121, Transportation Research Board of the National Academies, Washington, D. C., 2009, pp. 55-62.
20. Brisbane Strategic Transport Demand Model: Screenline Validation Data-Data. Queensland Government, Brisbane, Australia, 2014. https://data. qld. gov. Au/dataset/brisbane-strategic-transport-demand-model-screenline-validation-data. Accessed April 1, 2014.
21. Hollander, Y., and R. Liu. The Principles of Calibrating Traffic Microsimulation Models. Transportation, Vol. 35, No. 3, 2008, pp. 347-362.