Variability of commuters' bus line choice: An analysis of oyster card data

Public Transport

Volumn 6, Issue 1-2, 2014, Pages 21-34

  Kurauchi, Fumitaka ^a   Schmöcker, Jan Dirk ^b   Shimamoto, Hiroshi ^c   Hassan, Seham M ^d  

^a GIFU UNIVERSITY   (Japan)

^b KYOTO UNIVERSITY   (Japan)

^c UNIVERSITY OF MIYAZAKI   (Japan)

^d Aswan University ^*  (Egypt)

Author keywords

Bus line choice variation; Markov model; Oyster card data; Travel behaviour

Indexed keywords

COMPLEX NETWORKS; LEAD COMPOUNDS; MARKOV PROCESSES; MOLLUSCS; SHELLFISH; SMART CARDS; TRANSPORTATION ROUTES;

ARRIVAL TIME; BUS LINES; IN NETWORKS; MARKOV MODEL; OYSTER CARD DATA; ROUTE CHOICE; TRANSIT ASSIGNMENT; TRAVEL BEHAVIOUR;

BUS TERMINALS;

EID: 84899889184     PISSN: 1866749X     EISSN: 16137159     Source Type: Journal    
DOI: 10.1007/s12469-013-0080-x     Document Type: Article

References (30)

1. Agard B, Morency C, Trépanier M (2006) Mining public transport user behaviour from smart card data. In: 12th IFAC symposium on information control problems in manufacturing-INCOM 2006, Saint-Etienne, France, May 1410919.
2. Agard B, Morency C, Trépanier M (2008) Mining smart card data from an urban transit network. In: Wang J (ed) Encyclopedia of data warehouse and mining.
3. Andreasson I (1976) A method for the analysis of transit networks. In: Roubens M (ed) Proceedings of the 2nd European congress on operations research. North Holland, Amsterdam, pp 1-8.
4. Chapleau R, Trépanier M, Chu KK (2008) The ultimate survey for transit planning: complete information with smart card data and GIS. Paper presented at 8th international conference on survey in transport, Lacd'Annecy, France.
5. De Cea J, Fernández E (1993) Transit assignment for congested public transport system: an equilibrium model. Transp Sci 27(2): 133-147.
6. Fearnside K, Draper DP (1971) Public transport assignment-a new approach. Traffic Eng Control 13(7): 298-299.
7. Florian M (1977) Traffic equilibrium model of traffic by car and public transit modes. Transp Res 10: 166-179.
8. Florian M, Spiess H (1983) On two mode choice/assignment models. Transp Sci 17: 32-47.
9. Kato H, Kaneko Y, Inoue M (2010) Comparative analysis of transit assignment: evidence from urban railway system in the Tokyo metropolitan area. Transp J 37(5): 775-799.
10. Kim JY, Kurauchi F, Uno N, Hagihara T, Daito T (2013) Using electronic toll collection data to understand traffic demand. J Intell Transp Syst. doi: 10. 1080/15472450. 2013. 806858 published online, 29 May 2013.
11. Kurauchi F, Bewll MGH, Schmöcker J-D (2003) Capacity constraint transit assignment with common lines. J Math Model Algorithms 2(4): 309-327.
12. Kurauchi F, Schmöcker J-D, Fonzone A, Hassan MS, Shimamoto H, Bell MGH (2012) Estimation of weights of times and transfers for hyperpath travellers. Transp Res Rec. J Transp Res Board, 2284, Transportation Research Board of the National Academies, Washington, DC 89-99. doi: 10. 3141/2284-11, 2012. 10.
13. Kusakabe T, Iryo T, Asakura Y (2010) Estimation method for railway passengers' train choice behaviour with smart card transaction data. Transp J 37(5): 731-740.
14. Li D, Lin Y, Zhao X, Song H, Zou N (2011) Estimating a transit passenger trip origin-destination matrix using automatic fare collection system. In: Xu J, Yu G, Zhou S, Unland R (eds) Database systems for advanced applications. Lecture notes in computer science, vol 6637. Springer, Berlin, pp 502-513.
15. Mandl CE (1979) Evaluation and optimization of urban public transportation networks. Presented at the 3rd European congress on operations research, Amsterdam, Netherlands.
16. Morency C, Trépanier M, Agard B (2006) Analyzing the variability of transit users behaviour with smart card data. In: The 9th international IEEE conference on intelligent transportation systems-ITSC, Toronto, Canada, 17-20 September 2006, pp 8-13.
17. Morency C, Trépanier M, Agard B (2007) Measuring transit use variability with smart-card data. Transp Policy 14(3): 193-203.
18. Nguyen S, Pallottino S (1988) Equilibrium traffic assignment for large scale transit networks. Eur J Oper Res 37(2): 176-186.
19. Nguyen S, Pallottino S, Gendreau M (1998) Implicit enumeration of hyperpaths in a logit model for transit networks. Transp Sci 32(1): 54-64.
20. Nishiuchi H, Kuwahara M, Miska M, Warita H (2010) OD volume variation and its prediction based on urban expressway ETC-OD data. In: Proceedings of the 12th world conference on transport research, p 2095, 2010. 7.
21. Nökel K, Wekeck S (2009) Boarding and alighting in frequency-based transit assignment. Paper presented at 88th annual transportation research board meeting, Washington DC.
22. Park JY, Kim DJ, Lim YT (2008) Use of smart card data to define public transit use in Seoul, South Korea. Transp Res Rec. J Transp Res Board, No. 2063, Transportation Research Board of the National Academies, Washington, DC, pp 3-9. doi: 10. 3141/2063-01.
23. Pelletier M, Trepanier M, Morency C (2011) Smart card data use in public transit: a literature review. Transp Res, Part C, Emerg Technol 19: 557-568.
24. Schmöcker JD, Shimamto H, Kurauchi F (2013) Generation and calibration of transit hyperpaths. Proc Soc Behav Sci 80(7): 211-230.
25. Spiess H, Florian M (1989) Optimal strategies: a new assignment model for transit networks. Transp Res 23B(2): 83-102.
26. Trépanier M, Tranchant N, Chapleau R (2007) Individual trip destination estimation in a transit smart card automated fare collection system. J Intell Transp Syst 11(1): 1-14.
27. van der Hurk E, Kroon LG, Maróti G, Vervest P (2012) Dynamic forecast model of time dependent passenger flows for disruption management. Paper presented at 12th conference on advanced systems for public transport in Santiago, Santiago, Chile, 23-27 July 2012.
28. Wardman M (2004) Public transport values of time. Transp Policy 11: 363-377.
29. Yamazaki H, Uno N, Kurauchi F (2012) The effect of a new intercity expressway based on travel time reliability using electronic toll collection data. IET Intell Transp Syst 6(3): 306-317.
30. Yang F, Liu H (2007) A new modeling framework for traveller's day-to-day route adjustment processes. In: Allsop RE, Bell MGH, Heydecker BG (eds) Transportation and traffic theory. Elsevier, Amsterdam, pp 813-837.