IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt5gt4r1k2.html
   My bibliography  Save this paper

Unintended Impacts of Increased Truck Loads on Pavement Supply-Chain Emissions

Author

Listed:
  • Sathaye, Nakul
  • Horvath, Arpad
  • Madanat, Samer

Abstract

In recent years, the reduction of freight truck trips has been a common policy goal. To this end, policies aimed at influencing load consolidation, load factors and increasing maximum truck weight limits have been suggested and implemented, resulting in higher gross vehicle weights. The purpose of such policies has generally been to mitigate congestion and environmental impacts. However, trucks cause most of the damage incurred by pavements. The supply chain associated with pavement maintenance and construction releases significant air emissions, raising the question of whether increased vehicle weights may cause unintended environmental consequences. This paper presents scenarios with estimated emissions resulting from load consolidation and changes in load factors. These scenarios reveal several points having to do with the tradeoff between tailpipe versus pavement supply‐chain emissions. In some cases, unintended emissions from the pavement supply‐chain are found to be significant. Emissions associated with pavement construction are also found to increase as a result of pavement design specifications that account for heavier trucks.

Suggested Citation

  • Sathaye, Nakul & Horvath, Arpad & Madanat, Samer, 2009. "Unintended Impacts of Increased Truck Loads on Pavement Supply-Chain Emissions," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5gt4r1k2, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt5gt4r1k2
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/5gt4r1k2.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Madanat, S M & Prozzi, Jorge A & Han, Michael, 2002. "Effect of Performance Model Accuracy on Optimal Pavement Design," University of California Transportation Center, Working Papers qt42b5n5j6, University of California Transportation Center.
    2. Holguín-Veras, José & Thorson, Ellen, 2003. "Modeling commercial vehicle empty trips with a first order trip chain model," Transportation Research Part B: Methodological, Elsevier, vol. 37(2), pages 129-148, February.
    3. Geroliminis, Nikolaos & Daganzo, Carlos F., 2005. "A Review of Green Logistics Schemes Used in Cities Around the World," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4x89p485, Institute of Transportation Studies, UC Berkeley.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sathaye, Nakul & Horvath, Arpad & Madanat, Samer, 2010. "Unintended impacts of increased truck loads on pavement supply-chain emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(1), pages 1-15, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sathaye, Nakul & Horvath, Arpad & Madanat, Samer M, 2009. "Unintended Impacts of Increased Truck Loads on Pavement Supply-chain Emissions," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1jf6v73z, Institute of Transportation Studies, UC Berkeley.
    2. Sathaye, Nakul & Horvath, Arpad & Madanat, Samer, 2010. "Unintended impacts of increased truck loads on pavement supply-chain emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(1), pages 1-15, January.
    3. Guido Gentile & Daniele Vigo, 2013. "Movement generation and trip distribution for freight demand modelling applied to city logistics," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 54, pages 1-6.
    4. Bancroft, John, 2014. "Is Money Really Green? - An Investigation Into Environmental Supply Chain Practices, with a Cost Focus," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Next Generation Supply Chains: Trends and Opportunities. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 18, volume 18, pages 183-194, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    5. Danielis, Romeo & Maggi, Elena & Rotaris, Lucia & Valeri, Eva, 2012. "Urban supply chains and transportation policies," Working Papers 1207, SIET Società Italiana di Economia dei Trasporti e della Logistica, revised 2012.
    6. Sathaye, Nakul & Madanat, Samer, 2011. "A bottom-up solution for the multi-facility optimal pavement resurfacing problem," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 1004-1017, August.
    7. Lee, Jinwoo & Madanat, Samer, 2014. "Joint optimization of pavement design, resurfacing and maintenance strategies with history-dependent deterioration models," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 141-153.
    8. David A. Hensher & Edward Wei & Wen Liu & Loan Ho & Chinh Ho, 2023. "Development of a practical aggregate spatial road freight modal demand model system for truck and commodity movements with an application of a distance-based charging regime," Transportation, Springer, vol. 50(3), pages 1031-1071, June.
    9. Kalahasthi, Lokesh & Holguín-Veras, José & Yushimito, Wilfredo F., 2022. "A freight origin-destination synthesis model with mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    10. Günay, Gürkan & Ergün, Gökmen & Gökaşar, Ilgın, 2016. "Conditional Freight Trip Generation modelling," Journal of Transport Geography, Elsevier, vol. 54(C), pages 102-111.
    11. Joseph Chow & Choon Yang & Amelia Regan, 2010. "State-of-the art of freight forecast modeling: lessons learned and the road ahead," Transportation, Springer, vol. 37(6), pages 1011-1030, November.
    12. Comi, Antonio & Delle Site, Paolo & Filippi, Francesco & Nuzzolo, Agostino, 2012. "Urban Freight Transport Demand Modelling: a State of the Art," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 51, pages 1-8.
    13. Llorca, Manuel & Jamasb, Tooraj, 2017. "Energy efficiency and rebound effect in European road freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 98-110.
    14. Chow, Joseph Y.J. & Ritchie, Stephen G. & Jeong, Kyungsoo, 2014. "Nonlinear inverse optimization for parameter estimation of commodity-vehicle-decoupled freight assignment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 71-91.
    15. Gonzalez-Calderon, Carlos A. & Holguín-Veras, José & Amaya, Johanna & Sánchez-Díaz, Iván & Sarmiento, Iván, 2021. "Generalized noortman and van es’ empty trips model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 260-268.
    16. Thoen, Sebastiaan & Tavasszy, Lóránt & de Bok, Michiel & Correia, Goncalo & van Duin, Ron, 2020. "Descriptive modeling of freight tour formation: A shipment-based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    17. Sathaye, Nakul & Harley, Robert & Madanat, Samer, 2010. "Unintended environmental impacts of nighttime freight logistics activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(8), pages 642-659, October.
    18. Olsson, Jerry & Woxenius, Johan, 2014. "Localisation of freight consolidation centres serving small road hauliers in a wider urban area: barriers for more efficient freight deliveries in Gothenburg," Journal of Transport Geography, Elsevier, vol. 34(C), pages 25-33.
    19. Zhao, Dongfang & Balusu, Suryaprasanna Kumar & Sheela, Parvathy Vinod & Li, Xiaopeng & Pinjari, Abdul Rawoof & Eluru, Naveen, 2020. "Weight-categorized truck flow estimation: A data-fusion approach and a Florida case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    20. John Jairo Posada-Henao & Iván Sarmiento-Ordosgoitia & Alexánder A. Correa-Espinal, 2022. "Effects of Road Slope and Vehicle Weight on Truck Fuel Consumption," Sustainability, MDPI, vol. 15(1), pages 1-19, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsrrp:qt5gt4r1k2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.