TECHNICAL PAPERS
Jul 3, 2009

Life-Cycle Cost Analysis of Highway Intersection Safety Hardware Improvements

Publication: Journal of Transportation Engineering
Volume 136, Issue 2

Abstract

A methodology is proposed for project-level life-cycle cost analysis of highway intersection safety hardware improvements. It incorporates a disaggregated risk-based approach for computing the safety index that could be used to assess intersection vehicle crash risks affected by the conditions of intersection safety hardware such as signs, signals, lighting, pavement markings, and guardrails. With safety indices estimated before and after implementation of an intersection safety hardware project, the annual potential for safety improvements (PSI) could be computed using the concept of consumer surplus. The annual PSI is further converted into dollar values and extrapolated to the overall intersection safety hardware service life cycle, defined as the useful service life of longest-lasting intersection safety hardware, to determine the maximum project-level life-cycle benefits of intersection safety hardware improvements. A computational study is conducted for methodology application and validation using 5-year data on 226 intersections in Ozaukee County, Wis. The proposed methodology could be adopted by state and large-scale local transportation agencies for intersection safety hardware project evaluation and investment decision making.

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Acknowledgments

The writers acknowledge the Midwest Regional Universities Transportation Center at the University of Wisconsin-Madison for financial support of this research. The researchers are grateful to the Wisconsin DOT for data support.

References

AASHTO. (2003). User benefit analysis for highways, AASHTO, Washington, D.C.
Abaza, K. A. (2002). “Optimum flexible pavement life-cycle analysis model.” J. Transp. Eng., 128(6), 542–549.
Bauer, K. M., and Harwood, D. W. (1996). “Statistical models of at-grade intersection accidents.” Rep. No. FHWA-RD-96-125, Federal Highway Administration, DOT, Washington, D.C.
Bauer, K. M., and Harwood, D. W. (1999). “Statistical models of at-grade intersection accidents-addendum.” Rep. No. FHWA-RD-99-094, Federal Highway Administration, DOT, Washington, D.C.
Bonneson, J., and Lord, D. (2005). “Role and application of accident modification factors in the highway design process.” Rep. No. 0-4703-2, Texas DOT and the Federal Highway Administration, College Station, Tex.
Cafiso, S., La Cava, G., Montella, A., and Pappalardo, G. (2006). “A procedure to improve safety inspections effectiveness and reliability on rural two-lane highways.” The Baltic Journal of Road and Bridge Engineering, 1(3), 143–150.
Chan, A., Keoleian, G., and Gabler, E. (2008). “Evaluation of life-cycle cost analysis practices used by the Michigan Department of Transportation.” J. Transp. Eng., 134(6), 236–245.
de Leur, P., and Sayed, T. (2002). “Development of a road safety risk index.” Transp. Res. Rec., 1784, 33–42.
Federal Highway Administration (FHWA). (1994). “Conceptual plan for an interactive highway safety design model.” Rep. No. FHWA-RD-93-122, FHWA, DOT, Washington, D.C.
Fwa, T. F., and Sinha, K. C. (1991). “Pavement performance and life-cycle cost analysis.” J. Transp. Eng., 117(1), 33–46.
Harwood, D. W., et al. (2002). “Safety effectiveness of intersection left- and right-turn lanes.” Rep. No. FHWA-RD-02-089, Federal Highway Administration, DOT, Washington, D.C.
Harwood, D. W., Council, F. M., Hauer, E., Hughes, W. E., and Vogt, A. (2000). “Prediction of the expected safety performance of rural two-lane highways.” Rep. No. FHWA-RD-99-207, Federal Highway Administration, DOT, Washington, D.C.
Hauer, E. (1997). Observational before-after studies in road safety: Estimating the effect of highway and traffic engineering measures on road safety, Pergamon, Tarrytown, N.Y.
Hauer, E., Harwood, D. W., Council, F. M., and Griffith, M. S. (2002). “The empirical Bayes method for estimating safety: A tutorial.” Transp. Res. Rec., 1784, 126–131.
Klir, G. J. (2006). Uncertainty and information: Foundations of generalized information theory, Wiley, New York.
Klir, G. J., and Parviz, B. (1992). “Probability-possibility transformations: A comparison.” Int. J. Gen. Syst., 21(3), 291–310.
Kulmala, R. (1995). “Safety and three- and four-arm junctions: Development and application of accident prediction models.” VTT publication 233, Technical Research Centre of Finland, Espoo, Finland.
Labi, S., and Sinha, K. C. (2005). “Life-cycle evaluation of flexible pavement preventive maintenance.” J. Transp. Eng., 131(10), 744–751.
Lamm, R., et al. (2006). “How to make two-lane rural roads safer.” Scientific background and guide for practical application, WIT, Southampton, U.K.
Lamptey, G., Labi, S., and Li, Z. (2008). “Decision support for optimal scheduling of highway pavement preventive maintenance within resurfacing cycle.” Decision Support Sys., 46(1), 376–387.
Li, Z., and Madanu, S. (2009). “Highway project-level life-cycle benefit/cost analysis under certainty, risk, and uncertainty: Methodology with case study.” J. Transp. Eng., 135(8), 516–526.
Li, Z., and Sinha, K. C. (2004). “A methodology for multicriteria decision making in highway asset management.” Transp. Res. Rec., 1885, 79–87.
McCullagh, P., and Nelder, J. A. (1989). Generalized linear models, Chapman & Hall, London.
McGee, H. (2003). Making intersections safer: A toolbox of engineering countermeasures to reduce red-light running, Federal Highway Administration, Washington, D.C.
Midwest Research Institute (MRI), iTRANS Consulting, Inc., Human Factors North, Inc., Ryerson Polytechnic Univ., and Hauer, E. (2002). SafetyAnalyst: Software tools for safety management of specific highway sites, GSA Contract No. GS-23F-0379K, Task No. DTFH61-01-F-00096, White Paper for Federal Highway Administration’s Office of Safety R&D, McLean, Va.
Miller, T. R. (1992). “Benefit-cost analysis of lane marking.” Transp. Res. Rec., 1334, 38–45.
Mohammadi, J., Guralnick, S. A., and Yan, L. (1995). “Incorporating life-cycle costs in highway-bridge planning and design.” J. Transp. Eng., 121(5), 417–424.
Montella, A. (2005). “Safety reviews of existing roads: Quantitative safety assessment methodology.” Transp. Res. Rec., 1922, 62–72.
Neter, M. H., Nachtsheim, C. J., Neter, J., and Li, W. (2004). Applied linear statistical models, 5th Ed., McGraw-Hill, New York.
Ogden, K. (1996). Safer roads: A guide to road safety engineering, Avebury Tech, Cambridge, U.K.
Persaud, B., and Lyon, C. (2007). “Empirical Bayes before-after safety studies: Lessons learned from two decades of experience and future directions.” Accid. Anal Prev., 39(3), 546–555.
Siegel, S., and Castellan, N. J., Jr. (1988). Nonparametric statistics for the behavioral sciences, McGraw-Hill, New York.
TAC. (2004). The Canadian guide to in-service road safety reviews, Transportation Association of Canada, Ottawa.
Transfund New Zealand. (2003). “Safety audits of existing roads: Developing a less subjective assessment.” Transfund Rep. OG/0306/24S, Transfund, Wellington, New Zealand.
TRB. (2009). Highway safety manual, 1st Ed., Transportation Research Board of the National Academies, Washington, D.C.
Vogt, A. (1999). “Crash models for rural intersections: Four-lane by two-lane stop-controlled and two-lane by two-lane signalized.” Rep. No. FHWA-RD-99-128, Federal Highway Administration, DOT, Washington, D.C.
Vogt, A., and Bared, J. G. (1998). “Accident models for two-lane rural roads: Segments and intersections.” Rep. No. FHWA-RD-98-133, Federal Highway Administration, DOT, Washington, D.C.
Washington, S., and Shin, K. (2005). The impact of red light cameras (automated enforcement) on safety in Arizona, Arizona DOT, Phoenix.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 136Issue 2February 2010
Pages: 129 - 140

History

Received: Oct 4, 2008
Accepted: Jun 26, 2009
Published online: Jul 3, 2009
Published in print: Feb 2010

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Authors

Affiliations

Sunil Madanu [email protected]
Graduate Research Assistant, Dept. of Civil, Architectural, and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616. E-mail: [email protected]
Assistant Professor, Dept. of Civil, Architectural, and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616 (corresponding author). E-mail: [email protected]
Montasir Abbas [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061. E-mail: [email protected]

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