Skip to main content
SpringerLink
Log in

Effect of Pavement Surface Conditions on Sustainable Transport

  • Chapter
  • First Online:
Climate Change, Energy, Sustainability and Pavements

Part of the book series: Green Energy and Technology ((GREEN))

  • 1861 Accesses

Abstract

This chapter deals with the effect of pavement surface conditions on transport costs, including Vehicle Operating Costs (VOC) and damage to transported goods. The chapter starts with a brief introduction on the need for economic analysis of pavement projects in the context of sustainable pavement management strategies. Then, various user costs are presented, focusing on those cost components that are specifically affected by pavement surface conditions. These include fuel consumption, repair and maintenance, and tire wear (vehicle operating costs), and damage to transported goods/packaging costs (non-vehicle operating costs). The discussion differentiates between empirical and mechanistic models putting a vision for future mechanistic-based models. Finally, a section on trends in emerging vehicle and tire technology and how they affect future costs is presented. The discussion does not include details on the effect of pavement conditions on changes in travel time, safety-related or other implications of pavement conditions.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Barnes, G., & Langworthy, P. (2004). Per mile costs of operating automobiles and trucks. Transportation Research Record, 1864, 71–77.

    Article  Google Scholar 

  • Becker, M. A. (1972). Selection of optimal investment strategies for low volume roads (MS dissertation, Department of Civil Engineering, Massachusetts Institute of Technology, June 1972).

    Google Scholar 

  • Bein, P. (1993). VOC model needs of a highways department. Road and Transport Research, 2, 40.

    Google Scholar 

  • Bennett, C. R. (1989). The New Zealand vehicle operating cost model, RRU Bulletin B2. Willington: Transit New Zealand.

    Google Scholar 

  • Bennett, C. R., & Greenwood, I. D. (2003), Volume 7: Modeling road user and environmental effects in HDM-4, Version 3.0, international study of highway development and management tools (ISOHDM), World Road Association (PIARC). ISBN: 2-84060-103-6.

    Google Scholar 

  • Berthelot, C. F., Sparks, G. A., Blomme, T., Kajner, L., & Nickeson, M. (1996). Mechanistic-probabilistic vehicle operating cost model. Journal of Transportation Engineering, 122(5), 337–341.

    Article  Google Scholar 

  • Bester, C. J. (1981). Fuel consumption of highway traffic (Ph.D. dissertation, University of Pretoria, South Africa).

    Google Scholar 

  • Biggs, D. C. (1987). Estimating fuel consumption of light to heavy vehicles, ARRB internal report AIR 454-1, Australian Road Research Board, Nunawading.

    Google Scholar 

  • Biggs, D. C. (1988). ARFCOM—Models for estimating light to heavy vehicle fuel consumption, research report ARR 152, Australian Road Research Board, Nunawading.

    Google Scholar 

  • British Department of Transportation. (1993). COBA user’s manual. UK: Department of Transport.

    Google Scholar 

  • Bureau of Transportation Statistics. (2010). Highway statistics, Washington, D.C.: Annual Issues, Table VM-1.

    Google Scholar 

  • Cebon, D. (1999). Handbook of vehicle-road interaction. Lisse, Netherlands: Swets & Zeitlinger.

    Google Scholar 

  • Chatti, K. & Zaabar, I. (2012). Estimating the effects of pavement condition on vehicle operating costs, report 720, national cooperative highway research program, Transportation Research Board.

    Google Scholar 

  • Chesher, A., & Harrison, R. (1987). Vehicle operating cost: evidence from developing countries. Washington, D.C.: World Bank Publications.

    Google Scholar 

  • Chesson, J. H., & O’Brien, M. (1971). Analysis of mechanical vibration of fruit during transportation”. Transactions of ASAE, 69–628.

    Google Scholar 

  • Claffey, P. J. (1971). Running cost of motor vehicles as affected by road design and traffic, NCHRP report No. 111, national cooperative highway research program, Transportation Research Board, Washington, DC, United States, 1971.

    Google Scholar 

  • du Plessis, H. W. (1989). An investigation of vehicle operating cost relationships for use in South Africa, road roughness effects on vehicle operating costs—Southern Africa relations for use in economic analyses and road management systems. Pretoria: CSIR.

    Google Scholar 

  • Federal Highway Administration. (2008). Highway statistics, US department of Transportation. http://www.fhwa.dot.gov/policy/ohpi/hss/index.htm.

  • Governors Highway Safety Association. (2011). Retrieved May 2011, from http://www.motorists.org/speed-limits/state-chart.

  • Hammarström, U., & Karlsson, B. (1991). VETO a computer program for calculating transport costs as a function of road standard. English translation of VTI Report 501. Linkoping: Swedish Road and Traffic Institute.

    Google Scholar 

  • Hammarström, U., & Henrikson, P. (1994). Reparationskostnader för bilar Kalibrering av Varldsbankens HDM-3-samband för svenska förhallanden. VTI Meddelande Nr. 743. Linköping: Swedish Road and Traffic Institute.

    Google Scholar 

  • Harrison, R., & Aziz, S. (1998). HDM 4 Tyre relationships. Memorandum to ISOHDM Secretariat: Center for Transportation Research, the University of Texas at Austin, USA.

    Google Scholar 

  • Hendrickson, J. (2004). Energy use in the U.S. food system: A summary of existing research and analysis. UW-Madison: Center for Integrated Agricultural Systems. http://www.cias.wisc.edu/wp-content/uploads/2008/07/energyuse.pdf.

  • Henry, J. J. (2000). NCHRP synthesis 291: Evaluation of pavement friction characteristics. Washington, D.C.: Transportation Research Board, National Research Council.

    Google Scholar 

  • Jones, C. S., Holt, J. E., & Schoorl, D. (1991). A model to predict damage to horticultural produce during transport. Journal of Agriculture Engineering Research, 50, 259–272.

    Article  Google Scholar 

  • Kilareski, W. P., Mason, J. M., Gittings, G. L., Antle, C. E., Wambold, J. C., & et al. (1990). U.S.A. road surface and use characteristics catalog, prepared for chrysler motors corporation, The Chrysler Challenge Fund, Pennsylvania Transportation Institute, PTI 9018, April 1990.

    Google Scholar 

  • Klaubert, E. C. (2001). Highway effects on vehicle performance, FHWA-RD-00-164, U.S. Department of Transportation, Federal Highway Administration, Washington D.C, 2001.

    Google Scholar 

  • Lundstrom, A. (2010). The challenges for heavy vehicles. Presentation at the 11th International Symposium on Heavy Vehicle Weights and Dimensions, Melbourne, Australia, 14–17 March 2010.

    Google Scholar 

  • McFarland, William F., Memmott, Jeffrey L., & Chui, Margaret L. (1993). Microcomputer evaluation of highway user benefits, NCHRP Project 7–12, College Station. TX: Texas Transportation Institute.

    Google Scholar 

  • National Association of Australian State Road Authorities. (1978). A study of the operation of large combination vehicles (road trains), working party report No. I, National Association of Australian State Road Authorities.

    Google Scholar 

  • National Highway Traffic Safety Administration. (2009). 49 CFR Parts 531 and 533 Docket No. NHTSA-2009-0042. http://www.nhtsa.gov/DOT/NHTSA/Rulemaking/Rules/Associated%20Files/CAFE_MY2020_ProductPlanInfoReq.pdf.

  • Papagiannakis, T. (2000). Methodology to improve pavement-investment decisions. NCHRP project 1-33, NCHRP.

    Google Scholar 

  • Poelman, M. A., & Weir, R. P. (1992). Vehicle damage induced by road surface roughness. In J. J. Henry & J. C. Wambold (Eds.), Vehicle, tire, pavement interface, ASTM STP 1164 (pp. 97–111). American Society for Testing and Materials: Philadelphia.

    Google Scholar 

  • Prem, H. (2000). A road profile-based truck ride index. Sydney: Austroads. Austroads Publication No. AP-R177/00.

    Google Scholar 

  • Rich, P., Van Pelt, T., Enshayan, K., & Cook, E. (2008) Food duel and freeways: An Iowa perspective on how far food travels, fuel usage and greenhouse gas emissions, June 2001:1. Leopold Center for Sustainable Agriculture, 27 February, 2008 from http://www.leopold.iastate.edu/pubs/staff/ppp/food_mil.pdf.

  • Robson, J. D. (1979). Road surface description and vehicle response. International Journal of Vehicle Design, 1(1), 25–35.

    MathSciNet  Google Scholar 

  • Sandberg, U., & Ejsmont, J. A. (2002). Tyre/road noise reference book. Kisa, Sweden: Informex. ISBN 91-631-2610-9.

    Google Scholar 

  • Sayers, M. W., Gillespie, T. D., & Paterson, W. D. O. (1986). Guidelines for the conduct and calibration of road roughness measurements. World Bank Technical Paper No. 46. Washington, D.C.: The World Bank.

    Google Scholar 

  • Sayers, M. W., & Karamihas, S. M. (1998). The little book of profiling. Ann Arbor: UMTRI.

    Google Scholar 

  • Texas Department of Agriculture. (2007). Texas agriculture packs a punch. Texas agriculture facts, go Texan program. Retrieved July 12, 2007 from http://www.gotexan.org/gt/channel/render/items/0,1218,1670_1693_0_0,00.html.

  • Timm, E. J., Bollen, A. F., Dela Rue, B. T., & Woodhead, I. M. (1998). Apple damage and compressive forces in bulk bins during orchard transport. Applied Engineering Agriculture, 14, 165–172.

    Google Scholar 

  • U.S. Department of Energy. (2006). Road map and technical white papers. 21st century truck partnership.

    Google Scholar 

  • US Department of Energy. (2010). Energy efficient technologies—engine technologies, Energy Efficiency and Renewal Energy, Washington D.C. Retrieved September 2010, from http://www.fueleconomy.gov/feg/tech_engine_more.shtml.

  • U.S. Department of Transportation. (2010). National highway traffic safety administration, average fuel economy standards, passenger cars and light trucks, MY 2011-2015.

    Google Scholar 

  • Watanatada, T. (1987). Highway design and maintenance standards model (HDM) model description and user’s manual—Release II. Transportation, water and telecommunications department report. Washington, D.C.: The World Bank.

    Google Scholar 

  • Watanatada, T., Harral, C. G., Paterson, W. D. O., Dhareshwar, A. M., Bhandari, A., & Tsunokawa, K. (1987). The highway design and maintenance standards model, Vol. 1—Description. John Hopkins University Press: The World Bank.

    Google Scholar 

  • Weille, D. (1966). Quantification of Road User Savings. Washington, DC: World Bank Staff Occasional Paper.

    Google Scholar 

  • Winfrey, R. (1969). Economic analysis for highways. Scranton, PA: International Textbook Company.

    Google Scholar 

  • Zaabar, I., & Chatti, K. (2010). Identification of localized roughness features and their impact on truck durability. 11th International Symposium on Heavy Vehicle Weights and Dimensions, Melbourne, Australia, March 14–17 2010.

    Google Scholar 

  • Zaniewski, J. P., Butler, B. C., Cunningham, G., Elkins, G. E., Paggi, M. S., & Machemehl, R. (1982). Vehicle operating costs, fuel consumption, and pavement type and condition factors, FHWA-PL-82-001. Austin: Texas Research and Development Foundation.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Civil and Environmental Engineering, Michigan State University, East Lansing, USA

    Karim Chatti & Imen Zaabar

Authors
  1. Karim Chatti
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Imen Zaabar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Karim Chatti .

Editor information

Editors and Affiliations

  1. Department of Civil, Construction and Environmental Engineering, Iowa State University, Ames, Iowa, USA

    Kasthurirangan Gopalakrishnan

  2. Department of Civil Engineering Faculty of Eng., Built Environment & IT, University of Pretoria, Pretoria, South Africa

    Wynand JvdM Steyn

  3. Department of Civil and Environmental Engineering, University of California, Davis, California, USA

    John Harvey

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Chatti, K., Zaabar, I. (2014). Effect of Pavement Surface Conditions on Sustainable Transport. In: Gopalakrishnan, K., Steyn, W., Harvey, J. (eds) Climate Change, Energy, Sustainability and Pavements. Green Energy and Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44719-2_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-44719-2_6

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-44718-5

  • Online ISBN: 978-3-662-44719-2

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics

Search

Navigation