Route choice behaviour of freeway travellers under real-time traffic information provision - Application of the best route and the habitual route choice mechanisms

Transportation Planning and Technology

Volumn 30, Issue 6, 2007, Pages 545-570

  Jou, Rong Chang ^a   Hensher, David A ^b   Chen, Ke Hong ^a  

^a NATIONAL CHI NAN UNIVERSITY   (Taiwan)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Best route; Generalised cost savings; Habitual route; Stated preference experiments; Thresholds

Indexed keywords

BEHAVIORAL RESEARCH; COST ACCOUNTING; HIGHWAY SYSTEMS; REAL TIME SYSTEMS;

GENERALISED COST SAVING; REAL-TIME TRAFFIC INFORMATION; ROUTE CHOICE SELECTION;

TRANSPORTATION ROUTES;

ADVANCED TRAVELER INFORMATION SYSTEM; MOTORWAY; PREFERENCE BEHAVIOR; REAL TIME; ROAD TRANSPORT; TRAVEL BEHAVIOR;

ASIA; EURASIA; FAR EAST; TAICHUNG; TAIPEI; TAIWAN;

EID: 36348971182     PISSN: 03081060     EISSN: 10290354     Source Type: Journal    
DOI: 10.1080/03081060701698185     Document Type: Article

References (29)

1. Abdel-Aty, M. A., Kitamura, R. and Jovanis, P. P. (1997) Using stated preference data for studying the effect of advanced traffic information on drivers' route choice. Transportation Research Part C, 5, pp. 39-50.
2. Adler, J. L. (2001) Investigating the learning effects of route guidance and traffic advisories on route choice behaviour. Transportation Research Part C, 9, pp. 1-14.
3. Adler, J. L., Blue, V. J. and Wu, T. L. (1999) Proceedings of the 78th Annual Meeting of the Transportation Research Board
4. Al-Deek, H. M., Ishak, S. S. and Radwan, A. E. (1998) Impact of traffic diversion with ATIS on traveller's safety. Computers and Industrial Engineering, 34:2, pp. 547-558.
5. Bambreg, S. and Schmidt, P. (2003) Incentives, morality or habit: Predicting students' car use for university route with the models of Ajzen, Schwartz and Tariandis. Environment and Behaviour, 35:2, pp. 264-285.
6. Benson, P. G. (1996) Transportation Research Record 1550, pp. 48-57. Transportation Research Board, Washington, DC
7. Bogers, E. A. I., Viti, F. and Hoogendoorn, S. P. (2005) Joint modeling of ATIS, habit and learning impacts on route choice by laboratory simulator experiments.
8. Chatterjee, K., Hounsell, N. B., Firmin, P. E. and Bonsall, P. W. (2002) Driver response to variable message sign information in London. Transportation Research Part C, 3, pp. 149-169.
9. Chen, T. Y., Cheng, H. L. and Tzeng, G. H. (2001) Using a weight-assessing model to identify route choice criteria and information effects. Transportation Research Part A, 35, pp. 197-224.
10. Chen, P. S. T., Srinivasan, K. K. and Mahmassani, H. S. (1999) Effect of information quality on compliance behaviour of commuters under real-time traffic information. Transportation Research Record 1676, pp. 53-60.
11. Dia, H. (2002) An agent-based approach to modelling driver route choice behaviour under the influence of real-time information. Transportation Research Part C, 5, pp. 331-349.
12. Hato, E., Taniguchi, M., Sugie, Y., Kuwahara, M. and Morita, H. (1999) Incorporating an information acquisition process into a route choice model with multiple information sources. Transportation Research Part C, 3, pp. 109-129.
13. Emmerink, R. H. M., Erik, T. V., Peter, N. and Piet, R. (1996) Information provision in road transport with elastic demand. Journal of Transport Economics and Policy, 30:2, pp. 117-136.
14. Emmerink, R. H. M., Erik, T. V., Peter, N. and Piet, R. (1996) Endogenising demand for information in road transport. Annals of Regional Science, 30:2, pp. 201-222.
15. Greene, W. H. (2002) LIMDEP Version 8.0: Reference Guide, Econometric Software, Inc, New York and Sydney
16. (2003) Human Decision Making and Environmental Perception. Understanding and Assisting Human Decision Making in Real-life Settings. Liber Amicorum for Charles Vlek, University of Groningen, Groningen
17. Jou, R. C. (2001) Modeling the impact of pre-trip information on commuter departure time and route choice. Transportation Research Part B, 35, pp. 887-902.
18. Jou, R. C., Lam, S. H., Liu, Y. H. and Chen, K. H. (2005) Route switching behaviour on freeways with the provision of different types of real-time information traffic information. Transportation Research Part A, 39, pp. 445-461.
19. Jou, R. C., Lam, S. H., Weng, M. C. and Chen, C. (2004) Real time traffic information and ITS impacts on route switching behaviour of expressway drivers. Journal of Advanced Transportation, 38:2, pp. 187-223.
20. Lai, K. H. and Wong, W. G. (2000) SP approach toward driver comprehension if message formats on VMS. Journal of Transportation Engineering, 3, pp. 221-227.
21. Levinson, D. (2003) The value of advanced traveller information system for route choice. Transportation Research Part C, 11, pp. 75-87.
22. Mahmassani, H. S. and Jou, R. C. (1998) Bounded rationality in commuter decision dynamics: Incorporating trip chaining in departure time and route switching decisions. Theoretical Foundations of Travel Choice Modeling, pp. 201-229. Pergamon Press, Oxford
23. Mahmassani, H. S. and Liu, Y. S. (1999) Dynamics of commuting decision behaviour under advanced traveller information systems. Transportation Research Part C, 7, pp. 91-107.
24. Ministry of Transportation and Communication (MOTC) (1996) The Report on Travellers' Value of Travel Time in Taiwan Area, Ministry of Transportation and Communication, Taipei
25. Ramsay, E. D., Catchpole, J. E. and Luk, J. Y. K. (1997) Evaluation of VicRoads' Drive Time System
26. Srinivasan, K. K. and Krishnamurthy, A. (2004) Investigating the role of mixed real-time information strategies in network performance.
27. Srinivasan, K. K. and Mahmassani, H. S. (2003) Analyzing heterogeneity and unobserved structural effects in route-switching behaviour under ATIS: A dynamic kernel logit formulation. Transportation Research Part B, 37, pp. 793-814.
28. Wardman, M., Bonsall, P. W. and Shires, J. D. (1997) Driver response to variable message signs: A stated preference investigation. Transportation Research Part C, 5, pp. 389-405.
29. Zhiyong, G. and Karthik, K. S. (2005) Investigating the effect of user behaviour factors and transportation control measures on day-to-day network and trip-time reliability.