Technical Papers
Feb 26, 2020

Impact of Forest Road Maintenance Policies on Log Transportation Cost, Routing, and Carbon-Emission Trade-Offs: Oregon Case Study

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 5

Abstract

Wood transportation costs have significant impacts on timber investment returns. To optimize transportation costs, a practical design of the route network is necessary for log trucks that ship wood material from timberlands to wood mills. Road conditions resulting from various road maintenance policies dramatically affect speed limits, log-truck route networks, and transportation costs. The effects of road maintenance policies on truck route selection and user/agency cost trade-offs have not been deeply researched. By considering forest-road maintenance policies, this study intends to provide accurate information on timber-processing service coverage and log-truck route selections for forest companies or subcontracted fleets of log trucks. This research also conducts an environmental analysis to assess the effects of various road maintenance policies on consumed energy and greenhouse gas emissions of log trucks. With current maintenance policies, the results indicate that only between 33% and 51% of timber areas in Oregon can be accessed or harvested by existing nearby wood mills. However, application of the proposed road maintenance policy in this paper would increase accessibility to timberlands by up to 104%. The cost of log transportation also decreases by 16%–34%. The methodology developed in this study can lead to improvements in forest road preservation management systems to achieve the full benefits of reducing log-truck emissions and total transportation costs.

Get full access to this article

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

Data Availability Statement

Some or all data, models, or code generated or used during the study are available from the corresponding author by request:
Selected optimal routes under three scenarios including road type, speed limits, and distance, for example;
Allocated mills under three scenarios including their corresponding service timber area.

Acknowledgments

The authors would like to express their gratitude to the following funding agencies for their support: North Dakota State University and the Mountain-Plains Consortium (MPC), a University Transportation Center funded by the USDOT.

References

Akay, A., and J. Sesions. 2005. “Applying the decision support system, TRACER, to forest road design.” West. J. Appl. For. 20 (3): 184–191. https://doi.org/10.1093/wjaf/20.3.184.
Alig, R., A. Plantinga, S. Ahn, and J. Kline. 2003. Land use changes involving forestry in the United States: 1952 to 1997, with projections to 2050. Portland, OR: USDA, Forest Service.
Amrouss, A., N. El Hashemi, M. Gendreau, and B. Gendron. 2017. “Real-time management of transportation disruptions in forestry.” Comput. Oper. Res. 83 (Jul): 95–105. https://doi.org/10.1016/j.cor.2017.02.008.
Andersson, G., P. Flisberg, B. Lidén, and M. Rönnqvist. 2008. “RuttOpt—A decision support system for routing of logging trucks.” Can. J. For. Res. 38 (7): 1784–1796. https://doi.org/10.1139/X08-017.
Apodaca, M., M. Tippie, A. M. Verde, and V. J. Barandino. 2012. “Guidelines for road maintenance levels.” Accessed July 15 2017. https://www.fs.fed.us/eng/pubs/pdf/05771205.pdf.
Arcand, J., P. Guillaumont, and S. G. Jeanneney. 2008. “Deforestation and the real exchange rate.” J. Dev. Econ. 86 (2): 242–262. https://doi.org/10.1016/j.jdeveco.2007.02.004.
ArcGIS. 2019. “Retrieved from An overview of ArcMap extensions.” Accessed May 21, 2019. http://desktop.arcgis.com/en/arcmap/latest/extensions.
Bai, Q., A. Ahmed, Z. Li, and S. Labi. 2015. “A hybrid Pareto frontier generation method for trade-off analysis in transportation asset management.” Comput.-Aided Civ. Infrastruct. Eng. 30 (3): 163–180. https://doi.org/10.1111/mice.12079.
Bai, Q., S. Labi, and K. C. Sinha. 2012. “Trade-off analysis for multiobjective optimization in transportation asset management by generating Pareto frontiers using extreme points nondominated sorting genetic algorithm II.” J. Transp. Eng. 138 (6): 798–808. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000369.
Benjaafar, S., Y. Li, and M. Daskin. 2013. “Carbon footprint and the management of supply chains: Insights from simple models.” IEEE Trans. Autom. Sci. Eng. 10 (1): 99–116. https://doi.org/10.1109/TASE.2012.2203304.
Bertsekas, D. P. 1998. Network optimization: Continuous and discrete models, 467–511. Belmont, MA: Athena Scientific.
Black, W. R. 1996. “Sustainable transportation: A US perspective.” J. Transp. Geogr. 4 (3): 151–159. https://doi.org/10.1016/0966-6923(96)00020-8.
Brustlin, V. H. 2009. “Federal highway administration report: Speed data.” Accessed July 17, 2017. http://safety.fhwa.dot.gov.
Cass, D., and A. Mukherjee. 2011. “Calculation of greenhouse gas emissions for highway construction operations by using a hybrid life-cycle assessment approach: Case study for pavement operations.” J. Constr. Eng. Manage. 137 (11): 1015–1025. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000349.
Cheng, Y.-H., Y. H. Chang, and I. J. Lu. 2015. “Urban transportation energy and carbon dioxide emission reduction strategies.” Appl. Energy 157 (Nov): 953–973. https://doi.org/10.1016/j.apenergy.2015.01.126.
Church, R. L. 1999. “Location modelling and GIS.” In Vol. 1 of Geographical information systems, 293–303. Chichester, Sussex: Wiley.
Data.gov. 2013. “TIGER/Line Shapefile, state, Oregon, primary and secondary roads state-based shapefile.” Accessed March 22, 2016. https://catalog.data.gov/dataset/tiger-line-shapefile-2013-state-oregon-primary-and-secondary-roads-state-based-shapefile.
De Muth, J. E. 2014. Basic statistics and pharmaceutical statistical applications. Boca Raton, FL: Chapman & Hall/CRC Press.
Eklington, J. 1998. Cannibals with forks: The triple bottom line of 21st century business. Stoney Creek, CT: New Society Publishers.
El Hachemi, N., M. Gendreau, and L. Rousseau. 2011. “A hybrid constraint programming approach to the log-truck scheduling problem.” Ann. Oper. Res. 184 (1): 163–178. https://doi.org/10.1007/s10479-010-0698-x.
El Hachemi, N., E. Issmail, G. Michel, and R. Louis-Martin. 2015. “Flow-based integer linear programs to solve the weekly log-truck scheduling problem.” Ann. Oper. Res. 232 (1): 87–97. https://doi.org/10.1007/s10479-014-1527-4.
Flisberg, P., B. Lidén, and M. Rönnqvist. 2009. “A hybrid method based on linear programming and tabu.” Comput. Oper. Res. 36 (4): 1122–1144. https://doi.org/10.1016/j.cor.2007.12.012.
Forest Service. 2016. “U.S. Forest Service report: Maintaining roads.” Accessed March 2, 2016. http://data.fs.usda.gov.
France-Mensah, J., and W. J. O’Brien. 2019. “Developing a sustainable pavement management plan: Tradeoffs in road condition, user costs, and greenhouse gas emissions.” J. Manage. Eng. 35 (3): 04019005. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000686.
Gao, L., J. Aguiar-Moya, and Z. Zhang. 2011. “Performance modeling of infrastructure condition data with maintenance intervention.” Transp. Res. Rec. 2225 (1): 109–116. https://doi.org/10.3141/2225-12.
Gielen, D. B. K. 2007. “Tracking industrial energy efficiency and CO2 emissions.” Int. Energy Agency 34 (2): 1–12.
Gronalt, M., and P. Hirsch. 2007. Log-truck scheduling with a tabu search strategy. New York: Springer.
Haji Esmaeili, S. A., J. Szmerekovsky, A. Sobhani, A. Dybing, and T. O. Peterson. Forthcoming. “Sustainable biomass supply chain network design with biomass switching incentives for first-generation bioethanol producers.” Energy Policy https://doi.org/10.1016/j.enpol.2019.111222.
Ji, X., J. Wu, and Q. Zhu. 2016. “Eco-design of transportation in sustainable supply chain management: A DEA-like method.” Transp. Res. Part D: Transp. Environ. 48 (Oct): 451–459. https://doi.org/10.1016/j.trd.2015.08.007.
Keuls, M. 1952. “The use of the studentized range in connection with an analysis of variance.” Euphytica 1 (2): 112–122. https://doi.org/10.1007/BF01908269.
Kim, N. S., M. Janic, and B. van Wee. 2009. “Trade-off between carbon dioxide emissions and logistics costs based on multiobjective optimization.” Transp. Res. Rec. 2139 (1): 107–116. https://doi.org/10.3141/2139-13.
Kong, L., and A. Hasanbeigi, and L. Price. 2016. “Assessment of emerging energy-efficiency technologies for the pulp and paper industry: A technical review.” J. Cleaner Prod. 122 (May): 5–28. https://doi.org/10.1016/j.jclepro.2015.12.116.
Laurijssen, J., A. Faaij, and E. Worrell. 2012. “Energy conversion strategies in the European paper industry—A case study in three countries.” Appl. Energy 98 (Oct): 102–113. https://doi.org/10.1016/j.apenergy.2012.03.001.
Lin, P., M. A. Contreras, R. Dai, and J. Zhang. 2016. “A multilevel ACO approach for solving forest transportation planning problems with environmental constraints.” Swarm Evol. Comput. 28 (Jun): 78–87. https://doi.org/10.1016/j.swevo.2016.01.003.
Lopez, J., R. De La Torre, and F. Cubbage. 2010. “Effect of land prices, transportation costs, and site productivity on timber investment returns for pine plantations in Colombia.” New For. 39 (3): 313–328. https://doi.org/10.1007/s11056-009-9173-4.
Lu, P., and D. Tolliver. 2012. “Pavement treatment short-term effectiveness in IRI change using long-term pavement program data.” J. Transp. Eng. 138 (11): 1297–1302. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000446.
Martin, A. M., P. M. O. Owende, N. M. Holden, S. M. Ward, and M. J. O’Mahony. 2001. “Designation of timber extraction routes in a GIS using road maintenance cost data.” For. Prod. J. 51 (10): 32.
Mason, C. L., K. L. Casavant, B. R. Lippke, D. K. Nguyen, and E. Jessup. 2008. “The Washington log trucking industry: Costs and safety analysis.” Accessed July 15 2018. http://www.ruraltech.org/pubs/reports/2008/log\_trucks/index.as.
Newman, D. 1939. “The distribution of range in samples from a normal population, expressed in terms of an independent estimate of standard deviation.” Biometrika 31 (1–2): 20–30. https://doi.org/10.1093/biomet/31.1-2.20.
Nicholls, S. J., R. E. Pulkki, and P. A. Ackerman. 2006. “Provincial road condition and round wood timber transport in South Africa paper.” South. Af. For. J. 207 (1): 55–61. https://doi.org/10.2989/10295920609505253.
Oberscheider, Zazgornik, C. B. J. Henriksen, M. Gronalt, and P. Hirsch. 2013. “Minimizing driving times and greenhouse gas emissions in timber transport with a near-exact solution approach.” Scand. J. For. Res. 28 (5): 493–506. https://doi.org/10.1080/02827581.2012.758309.
Oregon DOT. 2016. “ODOT GIS unit.” Accessed March 1, 2016. http://www.oregon.gov/ODOT/COMM.
Oregon Spatial Data Library. 2015. “Spatial datasets.” Accessed July 20, 2017. http://spatialdata.oregonexplorer.
Palmgren, M., M. Rönnqvist, and P. Värbrand. 2004. “A near-exact method for solving the log-truck scheduling problem.” Int. Tran. Oper. Res. 11 (4): 447–464. https://doi.org/10.1111/j.1475-3995.2004.00469.x.
Reger, D., S. Madanat, and A. Horvath. 2014. “Economically and environmentally informed policy for road resurfacing: Tradeoffs between costs and greenhouse gas emissions.” Environ. Res. Lett. 9 (10): 104020. https://doi.org/10.1088/1748-9326/9/10/104020.
Rey, P. A., J. A. Muñoz, and A. Weintraub. 2010. “A column generation model for truck routing in the Chilean forest industry.” INFOR: Inf. Syst. Oper. Res. 47 (3): 215–221. https://doi.org/10.3138/infor.47.3.215.
Richardson, B. C. 2005. “Sustainable transport: Analysis frameworks.” J. Transp. Geogr. 13 (1): 29–39. https://doi.org/10.1016/j.jtrangeo.2004.11.005.
Rönnqvist, M., and D. Ryan. 1995. “Solving truck despatch problems in real time.” In Proc., 31st annual Conf. of the Operational Research Society of New Zealand, 165–172. Auckland, New Zealand: Springer.
Rönnqvist, M., H. Sahlin, and D. Sahlin. 1998. Operative planning and dispatching of forestry transportation. Linköping, Sweden: Linköping Univ.
Roony, B. 2016. “Quality information, informed choices: State of Oregon employment department.” Accessed November 14, 2016. https://www.qualityinfo.org/-/oregon-s-forestry-and-logging-industry-from-planting-to-harvest.
Schmitt, R., M. Sprung, S. Kim, and J. Sedor. 2008. Freight management and operations: Freight facts and figures. Washington, DC: FHWA, USDOT.
Slaper, T. F., and T. J. Hall. 2011. “The triple bottom line: What is it and how does it work?” Indiana Bus. Rev. 86 (1): 4–8.
Sobhani, A., M. W. Ismail, and M. Y. Jaber. 2019. “Investigating the effect of working environment aspects on a vendor-buyer inventory model.” Int. J. Prod. Econ. 208 (Feb): 171–183. https://doi.org/10.1016/j.ijpe.2018.11.017.
Sobhani, A., and M. I. M. Wahab. 2017. “The effect of working environment-ill health aspects on the carbon emission level of a manufacturing system.” Computers Ind. Eng. 113 (Nov): 75–90. https://doi.org/10.1016/j.cie.2017.08.032.
Stern, N. 2007. “Climate: Stern Review: The economics of climate change.” New Engl. J. Public Policy 21 (2): 4.
Student. 1927. “Errors of routine analysis.” Biometrika 19 (1/2): 151–164. https://doi.org/10.2307/2332181.
Sun, M., Y. Wang, L. Shi, and J. J. Klemes. 2018. “Uncovering energy use, carbon emissions and environmental burdens of pulp and paper industry: A systematic review and meta-analysis.” Renewable Sustainable Energy Rev. 92 (Sep): 823–833. https://doi.org/10.1016/j.rser.2018.04.036.
USDA. 2004. Malheur national forest roads analysis report. John Day, USDA Forest Service.
USDOT/Federal Highway Administration. 2000. “Road function classifications.” Accessed July 15, 2017. https://safety.fhwa.dot.gov/speedmgt/data_facts/docs/rd_func_class_1_42.pdf.
USEIA (US Energy Information Administration). 2010. International energy outlook on world energy. Washington, DC: USEIA.
USEIA (US Energy Information Administration). 2016. Annual energy outlook 2016 with projections to 2040. Washington, DC: USEIA.
US Wood-Using Mill Locations. 2005. “U.S. Wood-Using Mill Locations.” Accessed July 15, 2017. http://www.srs.fs.usda.gov.
Wang, Y., Y. Yang, M. Sun, L. Ma, X. Li, and L. Shi. 2016. “Estimating carbon emissions from the pulp and paper industry: A case study.” Appl. Energy, 184 (Dec) 779–789. https://doi.org/10.1016/j.apenergy.2016.05.026.
Zeng, W., and R. Church. 2009. “Finding shortest paths on real road networks: The case for A.” Int. J. Geog. Inf. Sci. 23 (4): 531–543. https://doi.org/10.1080/13658810801949850.
Zhan, F. B. 1997. “Three fastest shortest path algorithms on real road networks: Data structures and procedures.” J. Geographic Inf. Decision Analysis 1 (1): 69–82.
Zhang, F., D. M. Johnson, and J. Wang. 2015. “Life-cycle energy and GHG emissions of forest biomass harvest and transport for biofuel production in Michigan.” Energies 8 (4): 3258–3271. https://doi.org/10.3390/en8043258.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 146Issue 5May 2020

History

Received: Mar 26, 2019
Accepted: Sep 23, 2019
Published online: Feb 26, 2020
Published in print: May 1, 2020
Discussion open until: Jul 26, 2020

Permissions

Request permissions for this article.

Authors

Affiliations

Amin Keramati [email protected]
Research Assistant, Dept. of Transportation and Logistics/Upper Great Plains Transportation Institute, North Dakota State Univ., NDSU Dept. 2880, P.O. Box 6050, Fargo, ND 58108-6050. Email: [email protected]
Associate Professor, Dept. of Transportation and Logistics, College of Business, North Dakota State Univ., NDSU Dept. 2880, P.O. Box 6050, Fargo, ND 58108-6050. ORCID: https://orcid.org/0000-0002-1640-3598. Email: [email protected]
Ahmad Sobhani [email protected]
Assistant Professor of Decision and Information Sciences, School of Business, Oakland Univ., Administration Elliot Hall, 275 Varner Dr., Rochester, MI 48309-4485 (corresponding author). Email: [email protected]
Research Assistant, Dept. of Transportation and Logistics/Upper Great Plains Transportation Institute, North Dakota State Univ., NDSU Dept. 2880, P.O. Box 6050, Fargo, ND 58108-6050. ORCID: https://orcid.org/0000-0002-1195-6599. Email: [email protected]

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