Skip to main content
Log in

Stated preferences for investigating commuters' diversion propensity

  • Published:
Transportation Aims and scope Submit manuscript

Abstract

A reasonable response to increasing traffic congestion may come from the rapidly developing traveler information systems. Such systems may be successful if they effectively influence drivers' enroute decisions; in this regard, a critical factor may be commuters' willingness to divert from their regular route in response to information about traffic congestion. This study evaluates the effects of real-time traffic information along with driver attributes, roadway characteristics and situational factors on drivers' willingness to divert.

The empirical portion of this study is based on a survey of downtown Chicago automobile commuters. The stated preference approach was used to study commuters' diversion propensity. Drivers expressed a higher willingness to divert if expected delays on their usual route increased, if the congestion was incident-induced as opposed to recurring, if delay information was received from radio traffic reports compared with observing congestion, and if trip direction was home-to-work rather than work-to-home. Respondents were less willing to divert if their alternate route was unfamiliar, unsafe or had several traffic stops. Socioeconomic characteristics were also significant in predicting willingness to divert.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Allen R Wade, Ziedman D, Rosenthal T, Stein A, Torres J & Halati A (1991) Laboratory assessment of driver route diversion in response to in-vehicle navigation and motorist information systems.Transportation Research Record 1306: 82–91. Transportation Research Board, Washington, D.C.

    Google Scholar 

  • Bettman J (1979)An Information Processing Theory of Consumer Choice. Reading, Massachusetts: Addison-Wesley Publishing Company.

    Google Scholar 

  • Bonsall Peter (1991) Using an interactive route-choice simulator to investigate drivers' compliance with route guidance advice. Proceedings of6th International Conference on Travel Behavior, International Association for Travel Behavior, Quebec, Canada.

    Google Scholar 

  • Bovy Piet & Bradley M (1985) Route choice analyzed with stated-preference approaches.Transportation Research Record 1037: 11–20. Transportation Research Board, Washington, D.C.

    Google Scholar 

  • Bradley Mark (1988) Realism and adaptation in designing hypothetical travel choice concepts.Journal of Transport Economics and Policy 22(1): 121–137.

    Google Scholar 

  • Churchill Gilbert (1987)Marketing Research Methodological Foundations, 4th edition. The Dryden Press, Chicago, Illinois.

    Google Scholar 

  • Couture Michael & Dooley T (1981) Analyzing traveler attitudes to resolve intended and actual use of new transit service.Transportation Research Record 794: 27–33. Transportation Research Board, Washington, D.C.

    Google Scholar 

  • Dudek Conrad, Friebele J & Loutzenheizer R (1971) Evaluation of commercial radio for realtime driver communications on urban freeways.Highway Research Record 358: 17–25. Highway Research Board, Washington, D.C.

    Google Scholar 

  • Daniels E, Levin M & McDermott J (1976) Improving commercial radio traffic reports in the Chicago area.Transportation Research Record 600: 52–57. Transportation Research Board, Washington, D.C.

    Google Scholar 

  • Green Paul & Rao V (1971) Conjoint analysis for quantifying judgmental data.Journal of Marketing Research 8: 355–363.

    Google Scholar 

  • Green Paul & Srinivasan V (1978) Conjoint analysis in consumer research: issues and outlook.Journal of Consumer Research 5: 103–123.

    Google Scholar 

  • Greene William (1990)Econometric Analysis. Macmillan Publishing Company, New York.

    Google Scholar 

  • Haselkorn Mark, Spyridakis J, Conquest L, Barfield W (1989) Surveying commuter behavior as a basis for designing motorist information systems. Paper Presented at1st Vehicle Navigation and Information Systems Conference, IEEE, Toronto, Canada.

    Google Scholar 

  • Heathington Kenneth (1969) On the Development of a Freeway Driver Information System. Unpublished PhD Dissertation, Civil Engineering Department, Northwestern University. Evanston, Illinois.

    Google Scholar 

  • Huchingson R Dale, McNees R & Dudek C (1977) Survey of motorist route selection criteria (Abridgement).Transportation Research Record 643: 45–48. Transportation Research Board, Washington, D.C.

    Google Scholar 

  • Huchingson R Dale & Dudek C (1979) Delay, time saved, and travel time information for freeway traffic management.Transportation Research Record 722: 36–39. Transportation Research Board, Washington, D.C.

    Google Scholar 

  • Huchingson R Dale, Whaley J & Huddleston N (1984) Delay messages and delay tolerance at Houston work zones.Transportation Research Record 957: 19–21. Transportation Research Board, Washington, D.C.

    Google Scholar 

  • Johnson Richard (1974) Trade-off analysis of consumer values.Journal of Marketing Research 11 (May): 121–127.

    Google Scholar 

  • Journal of Transport Economics and Policy (1988), Vol 22(1).

  • Khattak Asad (1991) Driver Response to Unexpected Travel Conditions: Effect of Traffic Information and Other Factors. Unpublished Phd Dissertation, Civil Engineering Department, Northwestern University, Evanston, Illinois.

    Google Scholar 

  • Kocur George, Adler T & Hyman W (1981)Guide to Forecasting Travel Demand with Direct Utility Assessment. US Department of Transportation, UPP-35, Washington, D.C.

    Google Scholar 

  • Koppelman Frank & Pas E (1980) Travel-choice behavior: models of perceptions, feelings, preference and choice.Transportation Research Record 765: 25–33. Transportation Research Board, Washington, D.C.

    Google Scholar 

  • Kroes Eric & Sheldon R (1988) Stated preference methods.Journal of Transport Economics and Policy 22(1) 11–25.

    Google Scholar 

  • Louviere Jordan, Henley D, Woodworth G, Meyer R, Levin I, Stoner J, Curry D & Anderson D (1981) Laboratory-simulation versus revealed preference methods for estimating travel demand models.Transportation Research Record 794: 42–51. Transportation Research Board, Washington, D.C.

    Google Scholar 

  • Louviere Jordan (1988) Conjoint analysis modelling of stated preferences.Journal of Transport Economics and Policy 22(1) 93–119.

    Google Scholar 

  • Mahmassani Hani, Caplice C & Walton C (1990) Characteristics of urban commuter behavior: switching propensity and use of information.Transportation Research Record 1285: 57–69. Transportation Research Board, Washington, D.C.

    Google Scholar 

  • Mannering Fred (1989) Poisson analysis of commuter flexibility in changing routes and departure times.Transportation Research 23B(1): 53–60.

    Google Scholar 

  • McKelvey W & Zavoina T (1975) A statistical model of analysis of ordinal level dependent variables.Journal of Mathematical Sociology Summer: 103–120.

    Google Scholar 

  • Morikawa Takayuki (1989) Incorporation Stated Preference Data in Travel Demand Analysis. Unpublished PhD Dissertation, Civil Engineering Department, Massachusetts Institute of Technology, Cambridge, MA.

    Google Scholar 

  • Polak John & Jones P (1991) Assessing traveller responses to road pricing options. In Proceedings of6th International Conference on Travel Behavior (pp. 65–82). Quebec, Canada.

  • Wachs, Martin (1967) Relationship between drivers' attitudes toward alternate routes and driver and route characteristics.Highway Research Record 197: 770–787. Highway Research Board, Washington, D.C.

    Google Scholar 

  • Wardman Mark (1988) A comparison of revealed preference and stated preference models of travel behavior.Journal of Transport Economics and Policy 22(1): 71–91.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Khattak, A.J., Koppelman, F.S. & Schofer, J.L. Stated preferences for investigating commuters' diversion propensity. Transportation 20, 107–127 (1993). https://doi.org/10.1007/BF01307055

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01307055

Key words

Navigation