Variable message signs and radio traffic information: An integrated empirical analysis of drivers' route choice behaviour

Transportation Research Part A: Policy and Practice

Volumn 30, Issue 2, 1996, Pages 135-153

  Emmerink, Richard H M ^a   Nijkamp, Peter ^a   Rietveld, Piet ^a   Van Ommeren, Jos N ^a  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

RADIO TRAFFIC INFORMATION; ROAD TRANSPORT INFORMATIONS; ROUTE CHOICE BEHAVIOUR; VARIABLE MESSAGE SIGN INFORMATION; WILLINGNESS TO PAY;

HIGHWAY TRAFFIC CONTROL; INFORMATION SERVICES; INFORMATION USE; MATHEMATICAL MODELS; RADIO; TRAFFIC SIGNS;

TRANSPORTATION ROUTES;

DRIVER BEHAVIOUR; EMPIRICAL ANALYSIS; ROAD TRANSPORT; ROUTE CHOICE; TRAFFIC INFORMATION;

NETHERLANDS, AMSTERDAM;

EID: 0030110763     PISSN: 09658564     EISSN: None     Source Type: Journal    
DOI: 10.1016/0965-8564(95)00016-X     Document Type: Article

References (25)

1. Adler J. L., Golob T. F. and McNally M. G. (1993) A structural model with discrete-choice variables for predicting enroute behavior under ATIS. Paper presented at the 73rd Annual Meeting of the Transportation Research Board, Washington, D.C.
2. BATT Consortium (1994) Context, design and results of the inter-urban survey. EC DRIVE II Programme, Commission of the European Community, Brussels.
3. Caplice C. and Mahmassani H. S. (1992) Aspects of commuting behavior: preferred arrival time, use of information and switching propensity. Transpn Res. 26A, 409-418.
4. Conquest L., Spyridakis J., Haselkorn M. and Barfield W. (1993) The effect of motorist information on commuter behavior: classification of drivers into commuter groups. Transpn Res. 1C, 183-201.
5. De Palma A. and Lefèvre C. (1983) Individual decision-making in dynamic collective systems. J. Mathl Sociol. 9, 103-124.
6. Dutch Ministry of Transport (1991) Ringweg Amsterdam: Effecten van de openstelling, Integraal Eindrapport Rijkswaterstaat, Dienst Verkeerskunde. Ministry of Transport, Public Works and Water Management, Rotterdam.
7. Dutch Ministry of Transport (1992) Dynamic traffic management in The Netherlands. Report of the Transportation and Traffic Research Division, Ministry of Transport, Public Works and Water Management, Rotterdam.
8. Emmerink R. H. M., Verhoef E. T., Nijkamp P. and Rietveld P. (1994a) Information provision in road transport with elastic demand: A welfare economic approach. Tinbergen Institute Discussion Paper, TI 94-144.
9. Emmerink R. H. M., Nijkamp P., Rietveld P. and Axhausen K. W. (1994b) The economics of motorist information systems revisited. Transp. Rev. 14, 363-388.
10. Emmerink R. H. M., Axhausen K. W., Nijkamp P. and Rietveld P. (1995a) Effects of information in road transport networks with recurrent congestion. Transportation 22, 21-53.
11. Emmerink R. H. M., Verhoef E. T., Nijkamp P. and Rietveld P. (1995b) Endogenising demand for information in road transport. Tinbergen Institute Discussion Paper, TI 95-38.
12. Jou R.-C. and Mahmassani H. S. (1994) Day-to-day dynamics of commuter travel behaviour in an urban environment: departure time and route decisions. Paper presented at the 7th Int. Conf. on Travel Behaviour, Valle Nevado, Chile.
13. Judge G. G., Griffiths W. E., Hill R. C., Lütkepohl H. and Lee T.-C. (1985) The Theory and Practice of Econometrics, 2nd Edition. Wiley, New York.
14. Khattak A. J., Schofer J. L. and Koppelman F. S. (1993) Commuters' enroute diversion and return decisions: analysis and implications for advanced traveler information systems. Transpn Res. 27A, 101-111.
15. Lotan T. and Koutsopoulos H. N. (1993) Models for route choice behavior in the presence of information using concepts from fuzzy set theory and approximate reasoning. Transportation 20, 129-155.
16. Maddala G. S. (1983) Limited-Dependent and Qualitative Variables in Econometrics. Cambridge University Press, Cambridge.
17. Mahmassani H. S. and Chang G.-L. (1987) On boundedly rational user equilibrium in transportation systems. Transpn Sci. 21, 89-99.
18. Mahmassani H. S. and Herman R. (1990) Interactive experiments for the study of tripmaker behaviour dynamics in congested commuting systems. Developments in Dynamic and Activity-Based Aproaches to Travel Analysis (Jones P. M., Ed.), pp. 272-298. Avebury, Aldershot.
19. Mahmassani H. S. and Jayakrishnan R. (1991) System performance and user response under real-time information in a congested traffic corridor. Transpn Res. 25A, 293-308.
20. Mannering F., Kim S.-G., Barfield W. and Ng L. (1994) Statistical analysis of commuters' route, mode, and departure time flexibility. Transpn Res. 2C, 35-47.
21. Simon H. (1955) A behavioral model of rational choice. Q. J. Econ. 69, 99-118.
22. Spyridakis J., Barfield W., Conquest L., Haselkorn M. and Isakson C. (1991) Surveying commuter behavior: Designing motorist information systems. Transpn Res. 25A, 17-30.
23. Van Berkum E. C. and Van Der Mede P. H. J. (1993) The Impact of Traffic Information. Ph.D. thesis, Universiteitsdrukkerij, Delft.
24. Verhoef E. T., Emmerink R. H. M., Nijkamp P. and Rietveld P. (1994) Information provision, flat and fine congestion tolling and the efficiency of road usage. Tinbergen Institute Discussion Paper, TI 94-157.
25. Yang H., Kitamura R., Jovanis P. P., Vaughn K. M. and Abdel-Aty M. A. (1993) Exploration of route choice behavior with advanced traveler information using neural network concepts. Transportation 20, 199-223.