Statistical Modeling of User Perceptions of Infrastructure Condition: Application to the Case of Highway Roughness
Publication: Journal of Transportation Engineering
Volume 132, Issue 2
Abstract
In determining certain infrastructure rehabilitation needs, it is sometimes important to consider user perceptions along with physical measures of infrastructure condition. Pavement roughness is one such case. A critical determinant of public satisfaction, user perception of pavement roughness can potentially play a critical role in the allocation of resources to competing highway resurfacing projects. In this paper, to gain a better understanding of user perceptions of pavement roughness, users were placed in real-world driving conditions and asked to rank the roughness of specific roadway segments. Coupled with individual-specific, pavement-specific, and vehicle-specific data, users’ roughness rankings were modeled using a random effects ordered probit specification. The model identified a number of key factors influencing user roughness rankings. The results indicate that, while physical roadway-roughness measurements, such as the measured International Roughness Index, provided a strong indication of user roughness rankings (as one might expect), other factors such as the type of vehicle used, vehicle speed, individual’s age, individual’s gender, and interior vehicle noise levels were also significant. This study fills an important gap in the literature by linking physical infrastructure measurements with individual perceptions of infrastructure condition.
Get full access to this article
View all available purchase options and get full access to this article.
References
AASHTO. (1993). AASHTO guide for design of pavement structures, AASHTO, Washington, D.C.
Carey, W., and Irick P. (1960). “The pavement-serviceability concept.” Highway Research Board Bulletin No. 250, National Research Council. Washington, D.C., 40–58.
Choocharukul, K., Sinha, K., and Mannering, F. (2004). “User perceptions and engineering definitions of highway level of service: An exploratory statistical comparison.” Transp. Res., Part A: Policy Pract., 38(9-10), 677–689.
Garg, A., Horowitz, A., and Ross, F. (1988). “Establishing relationships between pavement roughness and perceptions of acceptability.” Transportation Research Record 1196, Transportation Research Board, Washington, D.C., 276–285.
Greene, W. (2003). Econometric analysis, Prentice-Hall, Englewood Cliffs, N.J.
Hausman, J. (1978). “Specification tests in econometrics.” Econometrica, 46(6), 1251–1271.
Janoff, M., Nick, J., Davit, P., and Hayhoe, G. (1985). “Pavement roughness and rideability.” National Cooperative Highway Research Program, Rep. No. 275, Transportation Research Board, Washington, D.C.
Moore, R., Clark G., and Plumb, G. (1985). “Present serviceability-roughness correlations using rating panel data.” Transportation Research Record 1117, Transportation Research Board, Washington, D.C., 152–158.
Nair, S., and Hudson W. (1986). “Serviceability prediction from user-based evaluations of pavement ride quality.” Transportation Research Record 1084, Transportation Research Board, Washington, D.C., 66–72.
Sayers, M., Gillespie, T., and Queiroz, C. (1986). “The international road roughness experiment: A basis for establishing a standard scale for road roughness measurements.” Transportation Research Record 1084, Transportation Research Board, Washington, D.C., 76–85.
Shafizadeh, K., Mannering, F. and Pierce, L. (2002). “A statistical analysis of factors associated with driver-perceived road roughness on urban highways.” Washington State Department of Transportation Research Rep. No. WA-RD 583.1, Washington State Department of Transportation, Seattle.
Shafizadeh, K., and Mannering, F. (2003). “Acceptability of pavement roughness on urban highways by the driving public.” Transportation Research Record 1860, Transportation Research Board, Washington, D.C., 187–193.
Washington, S., Karlaftis, M., and Mannering, F. (2003). Statistical and econometric methods for transportation data analysis, Chapman & Hall/CRC, Boca Raton, Fla.
Information & Authors
Information
Published In
Copyright
© 2006 ASCE.
History
Received: Oct 18, 2004
Accepted: Jun 28, 2005
Published online: Feb 1, 2006
Published in print: Feb 2006
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.