Technical Papers
May 19, 2012

Pavement Resurfacing Policy for Minimization of Life-Cycle Costs and Greenhouse Gas Emissions

Publication: Journal of Infrastructure Systems
Volume 19, Issue 2

Abstract

In recent decades, pavement management optimization has been designed with the objective of minimizing user and agency costs. However, recent analyses indicate that pavement management decisions also have significant impacts on life-cycle greenhouse gas (GHG) emissions. This study expands beyond minimization of life-cycle costs to also include GHG emissions. Previous work on the single-facility, continuous-state, continuous-time optimal pavement resurfacing problem is extended to solve the multicriteria optimization problem with the two objectives of minimizing costs and GHG emissions. Results indicate that there is a trade-off between costs and emissions when developing a pavement resurfacing policy, providing a range of GHG emissions reduction cost-effectiveness options. Case studies for an arterial and a major highway are presented to highlight the contrast between policy decisions for various pavement and vehicle technologies.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

The authors would like to thank the anonymous reviewers for their insights and suggestions that have greatly improved the paper in consistency, clarity, and relevance. This research was funded through the University of California Multi-campus Research Program on Sustainable Transportation and a fellowship award from the University of California Transportation Center. A. Horvath acknowledges the support of the Sustainable Products and Solutions Program at UC Berkeley.

References

ASTM. (1982). “Standard definitions of terms relating to traveled surface characteristics.”, Philadelphia.
ASCE. (2009). “Report card for America’s infrastructure.” 〈http://apps.asce.org/reportcard/2009/grades.cfm〉 (Mar. 1, 2011).
Au, T., and Au, T. P. (1992). Engineering economics for capital investment analysis, Prentice-Hall, Englewood Cliffs, NJ, 71–74.
Barnes, G., and Langworthy, P. (2004). “Per mile costs of operating automobiles and trucks.” Transp. Res. Rec., 1864(1), 71–77.
Bureau of Transportation Statistics. (2006). “National transportation statistics: Table 4-23: Average fuel efficiency of U.S. passenger cars and light trucks.” Research and Innovative Technology Administration (RITA). U.S. Department of Transportation, Washington, DC, 〈http://www.bts.gov/publications/national_transportation_statistics/html/table_04_23.html〉 (Jul. 16, 2009).
California Department of Transportation (Caltrans). (2007a). “State of the pavement, 2007.” State of California Department of Transportation, Division of Maintenance, Sacramento, CA, 〈www.dot.ca.gov/hq/maint/2007_SOP_8_7_08.pdf〉 (Mar. 17, 2011).
California Department of Transportation (Caltrans). (2007b). “Life-cycle cost analysis procedures manual.” State of California Department of Transportation, Pavement Standards Team & Division of Design, Sacramento, CA.
California Department of Transportation (Caltrans). (2008). “2008 annual average daily truck traffic on the California state highway system.” State of California, Business Transportation and Housing Agency, Department of Transportation, Sacraemento, CA, 〈http://traffic-counts.dot.ca.gov/truck2008final.pdf〉 (Mar. 1, 2010).
California Department of Transportation (Caltrans). (2009). “California highway design manual.” Chapter 630, California Department of Transportation, Publication Distribution Unit, Sacramento, CA, 〈http://www.dot.ca.gov/hq/oppd/hdm/hdmtoc.htm〉 (Jun. 17, 2010).
Carnahan, J. V. (1988). “Analytical framework for optimizing pavement maintenance.” J. Transp. Eng., 114(3), 307–322.
Chester, M. V., and Horvath, A. (2009). “Environmental assessment of passenger transportation should include infrastructure and supply chains.” Environ. Res. Lett., 4(2), 024008.
Daganzo, C. F. (2005). Chapter 1, Logistics systems analysis, Springer-Verlag, Berlin.
Darter, M., Smith, R., and Shahin, M. (1985). “Use of life cycle cost analysis as the basis for determining cost-effectiveness of maintenance and rehabilitation treatments for developing a network level assignment procedure.” Proc., North American Pavement Management Conf., 2, 7.5–7.18.
Energy Information Administration. (2011). “Gasoline and diesel fuel update.” 〈http://www.eia.gov/oog/info/gdu/gasdiesel.asp〉, (Feb. 2, 2011).
Environmental Protection Agency (EPA). (2005). “Emission facts: Average carbon dioxide emissions resulting from gasoline and diesel fuel.”, Office of Transportation and Air Quality, Washington, DC, 〈http://www.epa.gov/otaq/climate/420f05001.htm〉. (Jul. 15, 2010).
Golabi, K., Kulkarni, R., and Way, G. (1982). “A statewide pavement management system.” Interfaces, 12(6), 16–31.
Intergovernmental Panel on Climate Change (IPCC). (2007). “Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change.” R. K. Pachauri and A. Reisinger, eds., Geneva, Switzerland, 104.
Li, Y., and Madanat, S. (2002). “A steady-state solution for the optimal pavement resurfacing problem.” Transp. Res. Part A, 36(6), 525–535.
Lutsey, M., and Sperling, D. (2009). “Greenhouse gas mitigation supply curve for the United States for transport versus other sectors.” Transp. Res. Part D, 14(3), 222–229.
Madanat, S., Prozzi, J. A., and Han, M. (2002). “Effect of performance model accuracy on optimal pavement design.” Comput. Aided Civ. Infrastruct. Eng., 17(1), 22–30.
Muench, S. T., Mahoney, J. P., Wataru, W., Chong, L., and Romanowski, J. (2007). “Best practices for long-lasting low-volume pavements.” J. Infrastruct. Syst., 13(4), 311–320.
Ouyang, Y., and Madanat, S. (2004). “Optimal scheduling of rehabilitation activities for multiple pavement facilities: exact and approximate solutions.” Transp. Res. Part A, 38(5), 347–365.
Ouyang, Y., and Madanat, S. (2006). “An analytical solution for the finite-horizon pavement resurfacing planning problem.” Transp. Res. Part B, 40(9), 767–778.
Paterson, W. (1987). Road deterioration and maintenance effects: Models for planning and management, The Johns Hopkins University Press, Baltimore, MD.
Rajendran, S., and Gambatese, J. A. (2007). “Solid waste generation in asphalt and reinforced concrete roadway life cycles.” J. Infrastruct. Syst., 13(2), 88–96.
Santero, N. J., and Horvath, A. (2009). “Global warming potential of pavements.” Environ. Res. Lett., 4(3), 034011.
Santero, N. J., and Masanet, E., and Horvath, A. (2011a). “Life-cycle assessment of pavements. Part I: Critical review.” Resour., Conserv. Recycl., 55(9–10), 801–809.
Santero, N. J., Masanet, E., and Horvath, A. (2011b). “Life-cycle assessment of pavements. Part II: filling the research gaps.” Resour. Conserv. Recycl., 55(9–10), 810–818.
Sathaye, N., Horvath, A., and Madanat, S. (2010). “Unintended impacts of increased truck loads on pavement supply-chain emissions.” Transp. Res. Part A, 44(1), 1–14.
Sathaye, N., and Madanat, S. (2011). “A bottom-up solution for the multi-facility optimal pavement resurfacing problem.” Transp. Res. Part B, 45(7), 1004–1017.
Sathaye, N., and Madanat, S. (2012). “A bottom-up optimal pavement resurfacing solution approach for large networks.” Transp. Res. Part B, 46(4), 520–528.
Schuring, D. J. (1988). “Tire rolling loss—An overview.” 7th Annual Meeting and Conf. on Tire Science and Technology, Akron, Ohio.
Small, K. A., Winston, C., and Evans, C. A. (1989). Road work: A new highway pricing & investment policy, The Brookings Institution, Washington, DC.
Tsunokawa, K., and Schofer, J. L. (1994). “Trend curve optimal control model for highway pavement maintenance: case study and evaluation.” Transp. Res. Part A, 28(2), 151–166.
Wang, M. (2002). “Fuel choices for fuel-cell vehicles: Well-to-wheels energy and emission impacts.” J. Power Sources, 112(1), 307–321.
Watanatada, T., Dhareshwar, A. M., and Lima, P. R. S. R. (1987). Vehicle speeds and operating costs: Models for road planning and management, The Johns Hopkins University Press, Baltimore, MD.
Zaabar, I., and Chatti, K. (2010). “Calibration of HDM-4 models for estimating the effect of pavement roughness on fuel consumption for U.S. conditions.” Transp. Res. Rec., 2155(1), 105–116.
Zhang, H., Lepech, M. D., Keoleian, G. A., Qian, S., and Li, C. V. (2010a). “Dynamic life cycle modeling of pavement overlay systems: Capturing the impacts of users, construction, and roadway deterioration.” J. Infrastruct. Syst., 16(4), 299–309.
Zhang, H., Keoleian, G. A., Lepech, M. D., and Kendall, A. (2010b). “Life cycle optimization of pavement overlay system.” J. Infrastruct. Syst., 16(4), 310–322.

Information & Authors

Information

Published In

Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 19Issue 2June 2013
Pages: 129 - 137

History

Received: Jul 25, 2011
Accepted: May 16, 2012
Published online: May 19, 2012
Published in print: Jun 1, 2013

Permissions

Request permissions for this article.

Authors

Affiliations

Jeffrey Lidicker [email protected]
M.ASCE
Dept. of Civil and Environmental Engineering, Univ. of California, 109 McLaughlin Hall, Berkeley, CA 94720-1720 (corresponding author). E-mail: [email protected]
Nakul Sathaye
ECOtality North America, 333 Hegenberger Rd., Oakland, CA 94621.
Samer Madanat
M.ASCE
Dept. of Civil and Environmental Engineering, Univ. of California, 109 McLaughlin Hall, Berkeley, CA 94720-1720.
Arpad Horvath
M.ASCE
Dept. of Civil and Environmental Engineering, Univ. of California, 109 McLaughlin Hall, Berkeley, CA 94720-1720.

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.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share