Abstract
This study compares emissions and transit times from an environmentally oriented and a time oriented routing of large freight shipments in the European rail/road transportation network. We use the terminal-and-service selection problem (TSSP) to find the optimal routings under the different objectives. We show that substantial differences exist between the emission oriented routing and the time oriented routing. A large-scale simulation study reveals that shipments in the emission minimizing routing emit on average almost half as much emissions as if they were routed with the objective to minimize transit time. At the same time, the average transit time of shipments in the emission oriented routing almost triples compared to the transit time in the time optimal routing. This shows by experiment that substantial emission reductions can be achieved in the European freight transport sector by a corresponding routing of shipments but that this comes at the cost of a much lower service quality.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bauer, J., Bektaş, T., Crainic, T.G.: Minimizing greenhouse gas emissions in intermodal freight transport: an application to rail service design. J. Oper. Res. Soc. 61(3), 530–542 (2010)
Behnke, M., Kirschstein, T.: The impact of path selection on GHG emissions in city logistics. Transp. Res. Part E: Logist. Transp. Rev. 106, 320–336 (2017)
Bektaş, T., Laporte, G.: The pollution-routing problem. Transp. Res. Part B: Methodol. 45(8), 1232–1250 (2011)
Clausen, U., Kaffka, J, Déring, L., Ebel, G.: Container based calculation of greenhouse gas emissions – a method to determine emissions of container handlings in container terminals. In: General Proceedings of the 13th World Conference on Transport Research (WCTR) (2013)
Crainic, T.G.: Service network design in freight transportation. Eur. J. Oper. Res. 122(1), 272–288 (2000)
de Miranda Pinto, J.T., Mistage, O., Bilotta, P., Helmers, E.: Road-rail intermodal freight transport as a strategy for climate change mitigation. Environ. Dev. 25, 100–110 (2018)
Demir, E., Burgholzer, W., Hrušovský, M., Arıkan, E., Jammernegg, W., Van Woensel, T.: A green intermodal service network design problem with travel time uncertainty. Transp. Res. Part B: Methodol. 93, 789–807 (2016)
Dijkstra, E.W.: A note on two problems in connexion with graphs. Numer. Math. 1(1), 269–271 (1959)
EC Regulation 561/2006.: Regulation (EC) No 561/2006 of the European Parliament and of the Council of the European Union (2006). https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=CELEX:32006R0561:EN:HTML. Accessed 22 Jan 2019
Ehmke, J.F., Campbell, A.M., Thomas, B.W.: Data-driven approaches for emissions-minimized paths in urban areas. Comput. Oper. Res. 67, 34–47 (2016)
Figliozzi, M.: Vehicle routing problem for emissions minimization. Transp. Res. Rec. J. Transpo. Res. Board 2197, 1–7 (2010)
Floyd, R.W.: Algorithm 97: shortest path. Commun. ACM 5(6), 345 (1962)
Geerlings, H., van Duin, R.: A new method for assessing CO2-emissions from container terminals: a promising approach applied in Rotterdam. J. Clean. Prod. 19(6–7), 657–666 (2011)
Geofabrik.: OpenStretMap Data Extracts (2019). https://download.geofabrik.de/. Accessed 22 Jan 2019
Heinold, A., Meisel, F.: Emission rates of intermodal rail/road and road-only transportation in Europe: a comprehensive simulation study. Transp. Res. Part D: Transp. Environ. 65, 421–437 (2018)
Hickman, J., Hassel, D., Joumard, R., Samaras, Z., Sorenson, S.: Methodology for calculating transport emissions and energy consumption (1999). https://trimis.ec.europa.eu/sites/default/files/project/documents/meet.pdf. Accessed 22 Jan 2019
Jung, J.Y., Blau, G., Pekny, J.F., Reklaitis, G.V., Eversdyk, D.: A simulation based optimization approach to supply chain management under demand uncertainty. Comput. Chem. Eng. 28(10), 2087–2106 (2004)
Kim, N.S., van Wee, B.: Toward a better methodology for assessing CO\(_{2}\) emissions for intermodal and truck-only freight systems: a European case study. Int. J. Sustain. Transp. 8, 177–201 (2014)
Kirschstein, T., Meisel, F.: GHG-emission models for assessing the eco-friendliness of road and rail freight transports. Transp. Res. Part B: Methodol. 73, 13–33 (2015)
Lam, J.S.L., Gu, Y.: A market-oriented approach for intermodal network optimisation meeting cost, time and environmental requirements. Int. J. Prod. Econ. 171, 266–274 (2016)
Lin, C., Choy, K.L., Ho, G.T., Chung, S.H., Lam, H.Y.: Survey of green vehicle routing problem: past and future trends. Expert Syst. Appl. 41(4), 1118–1138 (2014)
Lindgreen, E.B.G., Sorenson, S.C.: Simulation of energy consumption and emissions from rail traffic. Technical report. Technical University of Denmark (2005). http://orbit.dtu.dk/files/3413826/lindgreen_sorenson.pdf. Accessed 22 Jan 2019
Luxen, D., Vetter, C.: Real-time routing with OpenStreetMap data. In: Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 513–516 (2011)
Moro, A., Lonza, L.: Electricity carbon intensity in european member states: impacts on GHG emissions of electric vehicles. Transp. Res. Part D: Transp. Environ. 64, 5–14 (2018)
Open Elevation: Open Elevation: a free and open-source elevation API (2019). https://open-elevation.com. Accessed 17 Jan 2019
Open Street Map: OpenStreetMap is the free wiki world map (2019). https://www.openstreetmap.org. Accessed 17 Jan 2019
PaP Catalogue: Annual catalogue of the pre-arranged paths (PaP) 2019 (2019). https://cip.rne.eu/apex/f?p=212:170:2793393320158::::P170_BOOKS_LIST:504556. Accessed 22 Jan 2019
Raildar: raildar.fr (2019). http://raildar.fr/osrm/osrm.html. Accessed 22 Jan 2019
Scora, G., Barth, M.: Comprehensive modal emissions model (CMEM), version 3.01 (Users guide). Centre for Environmental Research and Technology. University of California, Riverside (2006). https://www.cert.ucr.edu/cmem/docs/CMEM_User_Guide_v3.01d.pdf. Accessed 22 Jan 2019
TEN-T Compliance Maps: TEN-T Compliance Maps. TENtec Reporting. European Commission (2014). https://ec.europa.eu/transport/themes/infrastructure/downloads_en. Accessed 21 Jan 2019
TEN-T Interactive Maps: TEN-T Interactive Maps. TENtec Reporting. European Commission (2019). http://ec.europa.eu/transport/infrastructure/tentec/tentec-portal/map/maps.html. Accessed 21 Jan 2019
Wang, M.Q.: Greet 1.5-transportation fuel-cycle model-vol. 1: methodology, development, use, and results. Technical report, Argonne National Lab., IL (US) (1999). https://greet.es.anl.gov/files/20z8ihl0. Accessed 22 Jan 2019
Winebrake, J.J., Corbett, J.J., Falzarano, A., Hawker, J.S., Korfmacher, K., Ketha, S., Zilor, S.: Assessing energy, environmental, and economic tradeoffs in intermodal freight transportation. J. Air Waste Manag. Assoc. 58(8), 1004–1013 (2008)
Acknowledgments
This research was funded by the German Research Foundation (DFG) under reference ME 3586/1-1. We thank three anonymous reviewers for their valuable comments which helped to improve the manuscript considerably.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Heinold, A., Meisel, F. (2019). Emission Oriented vs. Time Oriented Routing in the European Intermodal Rail/Road Freight Transportation Network. In: Bierwirth, C., Kirschstein, T., Sackmann, D. (eds) Logistics Management. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-030-29821-0_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-29821-0_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29820-3
Online ISBN: 978-3-030-29821-0
eBook Packages: Economics and FinanceEconomics and Finance (R0)