2,506
Views
87
CrossRef citations to date
0
Altmetric
Papers

Transit Users’ Route‐Choice Modelling in Transit Assignment: A Review

, &
Pages 753-769 | Received 21 Feb 2009, Accepted 03 Mar 2010, Published online: 20 Oct 2010

References

  • Anez , J. , de La Barra , T. and Perez , B. 1996 . Dual graph representation of transport networks . Transportation Research , 30B (3) : 209 – 216 .
  • Atkins , S. 1994 . Passenger Information at Bus Stops (PIBS): Report on Monitoring Studies of Route 18 Demonstration Unpublished London Transport Report
  • Avineri , E. 2004 . A cumulative Prospect Theory approach to passengers behavior modeling: waiting time paradox revisited . Journal of Intelligent Transportation Systems , 8 (4) : 195 – 204 .
  • Avineri , E. and Prashker , J. N. 2003 . Sensitivity to uncertainty: need for a paradigm shift . Transportation Research Record , 1854 : 90 – 98 .
  • Babazadeh , A. and Aashtiani , H. Z. 2005 . Algorithm for equilibrium transit assignment problem . Transportation Research Record , 1923 : 227 – 235 .
  • Ben‐Akiva , M. and Lerman , S. R. 1985 . Discrete Choice Analysis: Theory and Application to Travel Demand , Cambridge, MA/London : MIT Press .
  • Bouzaiene‐Ayari , B. , Gendreau , M. and Nguyen , S. 1995 . An Equilibrium‐Fixed Point Model for Passenger Assignment in Congested Transit Networks , Montreal : Universite de Montreal . Publication no. CRT‐95‐97
  • Caulfield , B. and O’ Mahnoy , M. 2009 . A stated preference analysis of real‐time public transit stop information . Journal of Public Transportation , 12 (3) : 1 – 20 .
  • Cepeda , M. , Cominetti , R. and Florian , M. 2006 . A frequency‐based assignment model for congested transit networks with strict capacity constraints: characterization and computation of equilibria . Transportation Research , 40B (6) : 437 – 459 .
  • Chriqui , C. and Robillard , P. 1975 . Common bus lines . Transportation Science , 9 (2) : 115 – 121 .
  • Cominetti , R. and Correa , J. 2001 . Common‐lines and passenger assignment in congested transit networks . Transportation Science , 35 (3) : 250 – 267 .
  • Coppola , P. and Rosati , L. 2009 . “ Simulation‐based evaluation of advanced public transportation information systems (APTIS) ” . In Schedule‐Based Modeling of Transportation Networks: Theory and Applications , Edited by: M Wilson , N. H. and Nuzzolo , A. 195 – 216 . New York : Springer .
  • Daganzo , C. F. and Sheffi , Y. 1977 . On stochastic models of traffic assignment . Transportation Science , 11 (3) : 253 – 274 .
  • de Cea , J. , Bunster , J. P. , Zubieta , L. and Florian , M. 1988 . Optimal strategies and optimal routes in public transit assignment models: an empirical comparison . Traffic Engineering & Control , 29 (10) : 520 – 526 .
  • de Cea , J. and Fernandez , J. E. 1989 . Transit assignment to minimal routes: an efficient new algorithm . Traffic Engineering & Control , 30 (10) : 491 – 494 .
  • de Cea , J. and Fernandez , J. E. 1993 . Transit assignment for congested public transport systems: an equilibrium model . Transportation Science , 27 (2) : 133 – 147 .
  • Dial , R. B. 1967 . Transit pathfinder algorithm . Highway Research Board , 205 : 67 – 85 .
  • Douglas , N. and Karpouzis , G. Estimating the passenger cost of station crowding . Paper presented at the 28th Australasian Transport Research Forum . October , Sydney.
  • Douglas , N. and Karpouzis , G. Estimating the passenger cost of train overcrowding . Paper presented at the 29th Australasian Transport Research Forum . October , Auckland.
  • Dziekan , K. and Kottenhoff , K. 2007 . Dynamic at‐stop real‐time information displays for public transport: effects on customers . Transportation Research , 41A (6) : 489 – 501 .
  • Gärling , T. 1998 . “ Behavioural assumptions overlooked in travel‐choice modelling ” . In Travel Behaviour Research: Updating the State of Play , Edited by: de Dios Ortuzar , J. , Hensher , D. and Jara‐Diaz , S. 1 – 25 . New York : Elsevier .
  • Gendreau , M. 1984 . Une Etude Approfondie d’un Module d’rquilibre Pour l’affectation des Passagers dans les Rrseaux de Transport en Commun [An in‐depth study of an equilibrium model for passengers assignment in public transport networks] , Universite de Montreal . Unpublished doctoral dissertation
  • Gentile , G. , Nguyen , S. and Pallottino , S. 2005 . Route choice on transit networks with online information at stops . Transportation Science , 39 (3) : 289 – 297 .
  • Hall , R. W. 1982 . Traveler route choice under six information scenarios: transit level of service implications , University of California . Unpublished doctoral dissertation
  • Hamdouch , Y. and Lawphongpanich , S. 2008 . Schedule‐based transit assignment model with travel strategies and capacity constraints . Transportation Research , 42B (7) : 663 – 684 .
  • Hazelton , M. L. 1998 . Some remarks on stochastic user equilibrium . Transportation Research , 32B (2) : 101 – 108 .
  • Hess , S. 2005 . Advanced discrete choice models with applications to transport demand Unpublished doctoral dissertation, Imperial College London
  • Hickman , M. D. 1993 . Assessing the impact of real‐time information on transit passenger behavior , Massachusetts Institute of Technology . Unpublished doctoral dissertation,
  • Hickman , M. D. and Bernstein , D. H. 1997 . Transit service and path choice models in stochastic and time‐dependent networks . Transportation Science , 31 : 129 – 146 .
  • Hickman , M. D. and Wilson , N. H. M. 1995 . Passenger travel time and path choice implications of real‐time transit information . Transportation Research , 3C (4) : 211 – 226 .
  • Huang , H. J. , Tian , Q. , Yang , H. and Gao , Z. Y. Modeling the equilibrium bus riding behavior in morning rush hour . Paper presented at the 9th annual conference of the Hong Kong Society of Transportation Studies . May , Hong Kong.
  • Hunt , J. A. 1990 . Logit model for public transport route choice . ITE Journal , 12 : 26 – 30 .
  • Jansson , K. and Ridderstolpe , B. 1992 . A method for the route‐choice problem in public transport systems . Transportation Science , 26 (3) : 246 – 251 .
  • Jollife , J. K. and Hutchinson , T. P. 1975 . A behavioural explanation of the association between bus and passenger arrivals at a bus stop . Transportation Science , 9 (3) : 248 – 282 .
  • Kahneman , D. and Tversky , A. 1979 . Prospect Theory: an analysis of decision under risk . Econometrica (pre‐1986) , 47 (2) : 263 – 291 .
  • Lam , S.‐H. and Xie , F. 2002 . Transit path‐choice models that use revealed preference and stated preference data . Transportation Research Record , 1799 : 58 – 65 .
  • Lam , W. H. K. , Chung‐Yu , C. and Lam , C. F. 1999a . A study of crowding effects at the Hong Kong light rail transit stations . Transportation Research , 33A (5) : 401 – 415 .
  • Lam , W. H. K. , Gao , Z. Y. , Chan , K. S. and Yang , N. 1999b . A stochastic user equilibrium assignment model for congested transit networks . Transportation Research , 33B (5) : 351 – 368 .
  • Last , A. and Leak , S. E. 1976 . Transept: a bus model . Traffic Engineering & Control , 17 (1) : 14 – 17 .
  • le Clercq , F. 1972 . A public transport assignment model . Traffic Engineering & Control , 14 (1) : 91 – 96 .
  • Lo , H. K. , Yip , C.‐W. and Wan , Q. K. 2004 . Modeling competitive multi‐modal transit services: a Nested Logit approach . Transportation Research , 12C (3) : 251 – 272 .
  • Mahmassani , H. S. 1997 . “ Dynamics of commuter behaviour: Recent research and continuing challenges ” . In Understanding Travel Behaviour in an Era of Change , Edited by: Stopher , P. and Lee‐Gosselin , M. 279 – 313 . Oxford : Pergamon .
  • Marguier , P. H. J. 1981 . Optimal strategies in waiting for common bus lines , Massachusetts Institute of Technology . Unpublished master’s dissertation
  • Marguier , P. H. J. and Ceder , A. 1984 . Passenger waiting strategies for overlapping bus routes . Transportation Science , 18 (3) : 207 – 230 .
  • McFadden , D. 2000 . “ Disaggregate behavioural travel demand’s rum side: a 30 years retrospective ” . In Travel Behaviour Research: The Leading Edge , Edited by: Hensher , D. 17 – 64 . Amsterdam/New York : Pergamon .
  • McFadden , D. L. 2003 . “ Development of theory and methods for analyzing discrete choice ” . In Nobel Lectures in Economic Sciences, 1996–2000 , Edited by: Persson , T. 330 – 365 . Singapore : World Scientific .
  • Nguyen , S. and Pallottino , S. 1988 . Equilibrium traffic assignment for large scale transit networks . European Journal of Operational Research , 37 (2) : 176 – 186 .
  • Nguyen , S. , Pallottino , S. and Malucelli , F. 2001 . A modeling framework for passenger assignment on a transport network with timetables . Transportation Science , 35 (3) : 238 – 249 .
  • Nielsen , O. A. 2000 . A stochastic transit assignment model considering differences in passengers utility functions . Transportation Research , 34B (5) : 377 – 402 .
  • Nielsen , O. A. and Frederiksen , R. D. 2006 . Optimisation of timetable‐based, stochastic transit assignment models based on MSA . Annals of Operations Research , 144 : 263 – 285 .
  • Nielsen , O. A. and Jovicic , G. 1999 . “ A large scale stochastic timetable‐based transit assignment model for route and sub‐mode choices ” . In Proceedings of 27th European Transportation Forum, Seminar F , 169 – 184 . Cambridge : ETC . September
  • Nökel , K. and Wekeck , S. Boarding and alighting in frequency‐based transit assignment . Paper presented at the 88th Annual Transportation Research Board Meeting . January , Washington, DC.
  • Nuzzolo , A. and Coppola , P. Real‐time information to public transportation users: why, what, how? . Proceedings of the 7th Conference of Hong Kong Society for Trasnportation Studies . Edited by: Wang , D. and Li , S.‐M. pp. 45 – 58 . Hong Kong : Department of Geology, Hong Kong Baptist University .
  • Nuzzolo , A. and Crisalli , U. 2004 . “ The schedule‐based approach in dynamic transit modeling: a general review ” . In Schedule‐Based Dynamic Transit Modeling: Theory and Applications , Edited by: Nuzzolo , A. and Wilson , N. H. M. 1 – 22 . Boston, MA : Kluwer .
  • Nuzzolo , A. , Russo , F. and Crisalli , U. 2001 . A doubly dynamic schedule‐based assignment model for transit networks . Transportation Science , 35 (3) : 268 – 285 .
  • Poon , M. H. , Wong , S. C. and Tong , C. O. 2004 . A dynamic schedule‐based model for congested transit networks . Transportation Research , 38B (4) : 343 – 368 .
  • Pursula , M. and Weurlander , M. 1999 . Modeling level‐of‐service factors in public transportation route choice . Transportation Research Record , 1669 : 30 – 37 .
  • Ren , H. , Gao , Z. , Lam , W. H. K. and Long , J. 2009 . Assessing the benefits of integrated en‐route transit information systems and time‐varying transit pricing systems in a congested transit network . Transportation Planning and Technology , 32 (3) : 215 – 237 .
  • Schmöcker , J.‐D. , Bell , M. G. H. and Kurauchi , F. 2008 . A quasi‐dynamic capacity constrained frequency‐based transit assignment model . Transportation Research , 42B (10) : 925 – 945 .
  • Schmöcker , J.‐D. , Bell , M. G. H. , Kurauchi , F. and Shimamoto , H. 2009 . “ A game theoretic approach to the determination of hyperpaths in transportation networks ” . In Transportation and Traffic Theory 2009: Golden Jubilee , Edited by: Lam , W. H. K. , Wong , S. C. and Lo , H. K. 1 – 18 . Boston, MA : Springer .
  • Shimamoto , H. , Kurauchi , F. and Iida , Y. 2005 . Evaluation on effect of arrival time information provision using transit assignment model . International Journal of ITS Research , 3 (1) : 11 – 18 .
  • Simon , H. A. 1955 . A behavioral model of rational choice . Quarterly Journal of Economics , 69 : 99 – 118 .
  • Slavin , H. , Rabinowicz , A. , Brandon , J. , Flammia , G. and Freimer , R. 2009 . “ Using automated fare collection data, GIS and dynamic schedule queries to improve transit data and transit assignment models ” . In Schedule‐Based Modelling of Transportation Networks: Theory and Applications , Edited by: Wilson , N. H. M. and Nuzzolo , A. 101 – 118 . New York : Springer .
  • Spiess , H. 1984 . Contributions a la Theorie et aux Outils de Planification Des Reseaux de Transport Urbain [Contributions to the theory and planning tools for urban transit system] , Montreal : Universite de Montreal . Unpublished doctoral dissertation
  • Spiess , H. and Florian , M. 1989 . Optimal strategies: a new assignment model for transit networks . Transportation Research , 23B (2) : 83 – 102 .
  • Teklu , F. , Watling , D. and Connors , R. 2007 . “ A markov process model for capacity constrained transit assignment ” . In Transportation and Traffic Theory 2007: Papers Selected for Presentation at ISTTT17 , Edited by: Allsop , R. E. , Bell , M. G. H. and Heydecker , B. G. 483 – 505 . Amsterdam/Boston, MA : Elsevier . chap. 21
  • Tian , Q. , Huang , H.‐J. and Yang , H. 2007 . Equilibrium properties of the morning peak‐period commuting in a many‐to‐one mass transit system . Transportation Research , 41B (6) : 616 – 631 .
  • Tong , C. O. and Richardson , A. J. 1984 . A computer model for finding the time‐dependent minimum path in a transit system with fixed schedules . Journal of Advanced Transportation , 18 : 145 – 161 .
  • Tong , C. O. and Wong , S. C. 1999 . A stochastic transit assignment model using a dynamic schedule‐based network . Transportation Research , 33B (2) : 107 – 121 .
  • Turnquist , M. A. 1978 . A model for investigation the effects of service frequency and reliability in bus passenger waiting times . Transportation Research Record , 663 : 70 – 73 .
  • Tversky , A. and Kahneman , D. 1992 . Advances in Prospect Theory: cumulative representation of uncertainty . Journal of Risk and Uncertainty , 5 (4) : 297 – 323 .
  • van der Ward , J. The relative importance of public transport trip‐time attributes in route choice . Paper presented at the PTRC Summer Annual Meeting . June , Bath.
  • Wahba , M. and Shalaby , A. 2009 . “ MILATRAS: A new modeling framework for the transit assignment problem ” . In Schedule‐Based Modeling of Transportation Networks: Theory and Applications , Edited by: Wilson , N. H. M. and Nuzzolo , A. 171 – 194 . New York : Springer .
  • Wardrop , J. G. 1952 . Some theoretical aspects of road traffic research . Institution of Civil Engineers—Proceedings , 1 (2) : 325 – 362 .
  • Wilson , N. H. M. , Zhao , J. and Rahbee , A. 2009 . “ The potential impact of automated data collection systems on urban public transport planning ” . In Schedule‐Based Modeling of Transportation Networks: Theory and Applications , Edited by: Wilson , N. H. M. and Nuzzolo , A. 75 – 99 . New York : Springer .
  • Wu , J. H. , Florian , M. and Marcotte , P. 1994 . Transit equilibrium assignment: a model and solution algorithms . Transportation Science , 28 (3) : 193 – 203 .
  • Yang , L. and Lam , W. H. K. 2006 . Probit‐type reliability‐based transit network assignment . Transportation Research Record , 1977 : 154 – 163 .
  • Zhao , J. 2004 . The planning and analysis implications of automated data collection systems: rail transit OD matrix inference and path choice modelling examples , Massachusetts Institute of Technology . Unpublished master’s dissertation

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.