Modelling Intermodal Freight Transportation Promotion for Sustainable Supply Chain in India

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Sustainable Operations in India

Part of the book series: Managing the Asian Century ((MAAC))

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Abstract

Freight transportation planning is an important part of the country’s economy. Due to increased demand of the freight in today’s supply chain, an optimal mix of existing mode of transportation is required. Intermodal freight transportation is a combination of at least two different modes of transportation. In this chapter, a levelized cost analysis method is used to determine the total levelized cost of the vehicle over its useful life. Also, the total cost varies due to externalities with the given length of route. An intermodal shift of the rail–road mode is also calculated and the optimal cost corresponding to that route was found. In this chapter, all the parameters related to the levelized cost of vehicle is fixed and averaged for a given route length.

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References

  • Almotairi, B., Flodén, J., Stefansson, G., & Woxenius, J. (2011). Information flows supporting hinterland transportation by rail: Applications in Sweden. Research in Transportation Economics, 33(1), 15–24.

    Article  Google Scholar 

  • Alumur, S., & Kara, B. (2008). Network hub location problems: The state of the art. European Journal of Operational Research, 190, 1–21.

    Article  Google Scholar 

  • Beuthe, M., Bouffioux, Ch., de Maeyer, J., Santamaria, G., Vandresse, M., & Vandaele, E., (2003). A multicriteria analysis of stated preferences among freight transport alternatives. In: Proceedings of the 7th NECTAR Conference. A New Millennium. Are things the same?

    Google Scholar 

  • Bontekoning, Y., Macharis, C., & Trip, J. J. (2004). Is a new applied transportation field emerging? A review of intermodal rail–truck freight transport literature. Transportation Research A, 38, 1–34.

    Article  Google Scholar 

  • Building India, Transforming the nation’s logistics infrastructure. (2015). Mckinsey India Report.

    Google Scholar 

  • Crainic, T., & Kim, K. (2007). Intermodal transportation. In C. Barnhart & G. Laporte (Eds.), Transportation. Handbooks in operations research and management science (Vol. 14, pp. 467–537).

    Google Scholar 

  • Cullinane, K., & Toy, N. (2000). Identifying influential attributes in freight route/mode choice decisions: A content analysis. Transportation Research Part E, 36, 41–53.

    Article  Google Scholar 

  • European Commission. (2009). A sustainable future for transport: Towards an integrated, technology and user friendly system.

    Google Scholar 

  • Factors Impacting Railway Freight Traffic in India. (2016). National Council of Applied Economic Research Report.

    Google Scholar 

  • Giannopoulos, G. A. (2009). Towards a European ITS for freight transport and logistics: Results of current EU funded research and prospects for the future. European Transport Research Review, 1(4), 147–161.

    Article  Google Scholar 

  • Giannopoulus, G. A. (2004). The application of information and communication technologies in transport. European Journal of Operational Research, 152(2), 302–320.

    Article  Google Scholar 

  • Gilmore, E., & Lave, L. (2013). Comparing resale prices and total cost ownership for gasoline, hybrid and diesel passenger cars and trucks. Transport Policy, 27, 200–208.

    Article  Google Scholar 

  • Gilmore, D., & Tompkins, J. (2000). Transport plays key role in supply strategy. ID Systems, 20, 16–17.

    Google Scholar 

  • Graham, D. J., & Glaister, S. (2004). Road traffic demand elasticity estimates: A review. Transport Reviews, 24(3), 261–274.

    Article  Google Scholar 

  • Hanssen, T. E. S., Mathisen, T. A., & Jorgensen, F. (2012). Generalized transport costs in intermodal freight transport. Transportation Procedia Social and Behavioural Sciences, 54, 189–200.

    Article  Google Scholar 

  • Harris, I., Wang, Y., & Wang, H. (2015). ICT in multimodal transport and technological trends: Unleashing potential for the future. International Journal of Production Economics, 159, 88–103.

    Article  Google Scholar 

  • http://www.indianrailways.gov.in/railwayboard/view_section.jsp?lang=0&id=0,1,304,366,555,8. Accessed on September 7, 2017.

  • https://www.ibef.org/download/Railways-July-2017.pdf. Accessed on September 3, 2017.

  • http://planningcommission.nic.in/sectors/index.php?sectors=National%20Transport%20Development%20Policy%20Committee%20(NTDPC) (this version having three different reports).

  • https://www.eea.europa.eu/publications/annual-eu-emissions-inventory-report.

  • India Transport Report, Moving India to 2032. (2014). National Transport Development Policy Committee (pp. 25–67). New Delhi.

    Google Scholar 

  • Islam, D., Zunder, T., & Jorna, R. (2013). Performance evaluation of an online benchmarking tool for European freight transport chains. Benchmarking: An International Journal, 20(2), 233–250.

    Article  Google Scholar 

  • Janic, M. (2007). Modelling the full costs of an intermodal and road freight transport network. Transportation Research Part-D, 12, 33–44.

    Article  Google Scholar 

  • Janic, M. (2008). An assessment of the performance of the European long intermodal freight trains (LIFTS). Transportation Research Part A, 42, 1326–1339.

    Google Scholar 

  • Khare, M., & Sharam, P. (2003). Fuel options. In: D. A. Hensher, K. J. Button (Eds.), Handbooks in transport: Handbook of transport and the environment. Elsevier (pp. 159–184).

    Google Scholar 

  • Kreutzberge, D. E. (2008). Distance and time in intermodal goods transport networks in Europe: A generic approach. Transportation Research Part A: Policy and Practice, 42(7), 973–993.

    Google Scholar 

  • Logistics-Tech, restructuring the nervous system of the economy. (2016). Avendus report.

    Google Scholar 

  • Macharis, C., & Bontekoning, Y. M. (2004). Opportunities for OR in intermodal freight transport research: A review. European Journal of Operational Research, 153, 400–416.

    Article  Google Scholar 

  • Macharis, C., Pekin, E., Caris, A., & Jourquin, B. (2011). A decision support system for intermodal transport policy. Vubpress, Brussel, 2008, 151–163.

    Google Scholar 

  • Marchet, G., Perotti, S., & Mangiaracina, R. (2012). Modelling the impacts of ICT adoption for intermodal transportation. International Journal of Physical Distribution & Logistics Management, 42(2), 110–127.

    Article  Google Scholar 

  • Mason, S., Ribera, P., Farris, J., & Kirk, R. (2003). Integrating the warehousing and transportation functions of the supply chain. Transportation Research Part E: Logistics and Transportation Review, 39, 141–159.

    Article  Google Scholar 

  • Mathisen, T. A., & Hanssen, T. S. (2014). The academic literature on intermodal freight transport. Transportation Research Procedia, 611–620.

    Google Scholar 

  • McCann, P. (2001). A proof of the relationship between optimal vehicle size, haulage and the structure of distance-transport cost. Transportation Research Part A, 35, 671–693.

    Google Scholar 

  • Meng, Q., & Wang, S. (2011). Intermodal hub-and-spoke network design: Incorporating multiple stakeholders and multi-type containers. Transportation Research Part B, 45, 724–742.

    Article  Google Scholar 

  • Operational efficiency of national highways for freight transportation in India. (2009). Transport corporation of India & IIM Calcutta (pp. 6–20).

    Google Scholar 

  • Park, K., Shin, D., & Yoon, E. S. (2011). The cost of energy analysis and energy planning for emerging, fossil fuel power plants based on the climate change scenarios. Energy, 36(5), 360–372.

    Article  Google Scholar 

  • Rodrigue, J.-P., Comtois, C., & Slack, B. (2009). The geography of transport systems (2nd ed.). London: Routledge. ISBN: 978-0-415-48324-7.

    Google Scholar 

  • Sahin, B., Yilmaz, H., Ust, Y., Guneri, A. F., & Gulsun, B. (2009). An approach for analysing transportation costs and a case study. European Journal of Operational Research, 193, 1–11.

    Google Scholar 

  • Sahin, B., Yilmaz, H., Ust, Y., Guneri, A. F., Gulsun, B., & Turan, E. (2014). An approach for economic analysis of intermodal transportation. Scientific World Journal, 2014, 1–10.

    Article  Google Scholar 

  • Sengupta, S., & Cohan, D. S. (2017). Fuel cycle emissions and life cycle costs of alternative fuel vehicle policy options for the city of Houston municipal fleet. Transportation Research Part D: Transport and Environment, 54, 160–171.

    Google Scholar 

  • The Next India, Industrials—The Return of the Transportation Behemoth. (2015). The next India series. Morgan Stanley Research, 10–25.

    Google Scholar 

  • Total Transport System Study. (2011). Planning Commission of India Report, Chapter 5.

    Google Scholar 

  • Trends in global CO2 emissions: 2015 Report. (2015). Environmental assessment agency. The Hague: PBL Publishers, pp. 10–25.

    Google Scholar 

  • Tseng, Y.-Y., Yue, W. L., & Taylor, M. A. P. (2005). The role of transportation in logistics chain. Proceedings of the Eastern Asia Society for Transportation Studies, 5, 1657–1672.

    Google Scholar 

  • UNECE. (2009). Illustrated glossary for transport statistics. ISBN: 978-92-79-17082-9.

    Google Scholar 

  • Wiegmans, B., Nijkamp, P., & Masurel, E. (2001). Intermodal freight terminals: Marketing channels and telecommunication networks. Transport Reviews, 21(4), 399–413.

    Article  Google Scholar 

  • Woxenius, J. (2007). Generic framework for transport network designs: Applications and treatment in intermodal freight transport literature. Transport Reviews, 27, 733–749.

    Article  Google Scholar 

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Correspondence to Aalok Kumar .

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Kumar, A., Ramesh, A. (2018). Modelling Intermodal Freight Transportation Promotion for Sustainable Supply Chain in India. In: Chakraborty, A., Kumar Gouda, S., Gajanand, M. (eds) Sustainable Operations in India. Managing the Asian Century. Springer, Singapore. https://doi.org/10.1007/978-981-10-8010-4_7

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