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First published online January 1, 2008

Effects of Attitudes and Socioeconomic and Travel Characteristics on Stated Route Diversion: Structural Equation Modeling Approach of Road Users in Bangkok, Thailand

Abstract

At present, the application of the variable message sign (VMS) is considered an undeniably practical tool for providing travel information to motorists. Several studies have attempted to examine the effects of socioeconomic and travel characteristics on diversion behavior; however, the direct investigation of the extent of motorists’ attitudes, in conjunction with the aforementioned variables, has not been given much attention. Therefore, the primary objective of the present study is to gain a better understanding of the interrelationships between the likelihood of route diversion, attitudinal variables, and several exogenous factors such as motorists’ socioeconomic status and travel habits. In this study, a structural equation model is developed based on empirical data on road users in Bangkok, Thailand. Derived from factor analysis, three attitudinal variables, namely, awareness of the VMS, VMS comprehension, and perceived VMS usefulness, are extracted and incorporated into the structural equation modeling framework. Modeling results suggest a direct relationship between stated route diversion and two of the attitudinal variables, that is, VMS comprehension and perceived usefulness of the VMS; the awareness of VMS is not found to be a direct determinant of the decision to divert a route. Exogenous variables that appear to be of statistical significance include education, gender, age, daily mileage, and trip purpose. Unlike those in past studies, none of the socioeconomic variables in this study appears to directly influence plans to divert a route. The model estimation results are discussed and practical implications are provided.

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References

1. Benson B. G. Motorist Attitudes About Content of Variable-Message Signs. In Transportation Research Record 1550, TRB, National Research Council, Washington, D.C., 1996, pp. 48–57.
2. Peeta S., Ramos J. L., and Pasupathy R. Content of Variable Message Signs and On-Line Driver Behavior. In Transportation Research Record: Journal of the Transportation Research Board, No. 1725, TRB, National Research Council, Washington, D.C., 2000, pp. 102–108.
3. Polydoropoulou A., Ben-Akiva M., Khattak A., and Lauprete G. Modeling Revealed and Stated En-Route Travel Response to Advanced Traveler Information Systems. In Transportation Research Record 1537, TRB, National Research Council, Washington, D.C., 1996, pp. 38–45.
4. Wardman M., Bonsall P. W., and Shires J. D. Driver Response to Variable Message Signs: A Stated Preference Investigation. Transportation Research Part C, Vol. 5, No. 6, 1997, pp. 389–405.
5. Chatterjee K., Hounsell N. B., Firmin P. E., and Bonsall P. W. Driver Response to Variable Message Sign Information in London. Transportation Research Part C, Vol. 10, No. 2, 2002, pp. 149–169.
6. Ajzen I. The Theory of Planned Behavior. Organizational Behavior and Human Decision Process, Vol. 50, No. 2, 1991, pp. 179–211.
7. Parkany E., Gallagher R., and Viveiros P. Are Attitudes Important in Travel Choice? In Transportation Research Record: Journal of the Transportation Research Board, No. 1894, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 127–139.
8. Pal R. Investigation on Latent Factors Affecting Route Diversion Intentions. Journal of Transportation Engineering, Vol. 124, No. 4, 1998, pp. 362–367.
9. Peng Z. R., Guequierre N., and Blakeman J. C. Motorist Response to Arterial Variable Message Signs. In Transportation Research Record: Journal of the Transportation Research Board, No. 1899, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 55–63.
10. Lee D., Pietrucha M. T., and Sinha S. K. Use of Fuzzy Sets to Evaluate Driver Perception of Variable Message Signs. In Transportation Research Record: Journal of the Transportation Research Board, No. 1937, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 96–104.
11. Washington S., Karlaftis M., and Mannering F. Statistical and Econometric Methods for Transportation Data Analysis. Chapman & Hall/CRC, Boca Raton, Fla., 2003.
12. Hair J. F., Black W. C., Babin B. J., Anderson R. E., and Tatham R. L. Multivariate Data Analysis. Pearson Education Inc., Upper Saddle River, N.J., 2006.
13. Jöreskog K., and Sörbom D. LISREL8: Structural Equation Modeling with the SIMPLIS Command Language. Scientific Software International, Lincolnwood, Ill., 1993.
14. Choocharukul K. C. Motorist Awareness and Perception of Variable Message Signs in Bangkok. Proc., 5th International Conference on Traffic and Transportation Studies. Science Press, Beijing, 2006, pp. 981–990.
15. Fishbein M., and Ajzen I. Belief, Attitude, Intention, and Behaviour: An Introduction to Theory and Research. Addison-Wesley, Reading, Mass., 1975.

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Article first published online: January 1, 2008
Issue published: January 2008

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© 2008 National Academy of Sciences.
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Kasem Choocharukul
Department of Civil Engineering, Chulalongkorn University, Phyathai Road, Pathumwan, Bangkok 10330, Thailand.

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