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Green Logistics and Transportation pp 63–81Cite as

Green Transport Fleet Appraisal

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Part of the book series: Greening of Industry Networks Studies ((GINS,volume 4))

Abstract

One effective approach to improve the environmental burdens of logistics and transport operations is to ensure that evaluation and selection of transportation vehicles for organizations incorporate green attributes. The availability of different types of vehicles with varying performance characteristics as well as the breadth of environmental performance metrics have made the transport fleet decision making more complex and dynamic. This chapter presents a multi-criteria decision-making (MCDM) approach, integrating Rough Set theory and VIKOR method, for sustainable transportation vehicles selection. First, the related sustainability attributes are identified from the existing literature to be added to the conventional performance-based and economic vehicle evaluation criteria. The MCDM approach is then used for ranking and selecting the sustainable transportation vehicles. A numerical example is finally presented to illustrate the application of the proposed approach.

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Notes

  1. 1.

    This term has also been defined as information entropy of a system (Liang and Shi 2004).

References

  • Abkowitz, M. D. (2002). Transportation risk management: A new paradigm. Security Papers (Knoxville: Southeastern Transportation Center, University of Tennessee), 93–103.

    Google Scholar 

  • Arsie, I., Rizzo, G., & Sorrentino, M. (2010). Effects of engine thermal transients on the energy management of series hybrid solar vehicles. Control Engineering Practice, 18(11), 1231–1238.

    Article  Google Scholar 

  • Awasthi, A., Chauhan, S. S., & Omrani, H. (2011). Application of fuzzy TOPSIS in evaluating sustainable transportation systems. Expert Systems with Applications, 38(10), 12270–12280.

    Article  Google Scholar 

  • Bae, M. H., Islam, S., Dorgan, V. E., & Pop, E. (2011). Scaling of high-field transport and localized heating in graphene transistors. ACS Nano, 5(10), 7936–7944.

    Article  Google Scholar 

  • Bai, C. A., & Sarkis, J. (2014). Determining and applying sustainable supplier key performance indicators. Supply Chain Management: An International Journal, 19(3), 5.

    Google Scholar 

  • Bai, C., & Sarkis, J. (2010a). Integrating sustainability into supplier selection with grey system and rough set methodologies. International Journal of Production Economics, 124(1), 252–264.

    Article  Google Scholar 

  • Bai, C., & Sarkis, J. (2010b). Green supplier development: Analytical evaluation using rough set theory. Journal of Cleaner Production, 18(12), 1200–1210.

    Article  Google Scholar 

  • Bai, C., & Sarkis, J. (2013). Flexibility in reverse logistics: A framework and evaluation approach. Journal of Cleaner Production, 47, 306–318.

    Article  Google Scholar 

  • Bai, C., Sarkis, J., Wei, X., & Koh, L. (2012). Evaluating ecological sustainable performance measures for supply chain management. Supply Chain Management: An International Journal, 17(1), 78–92.

    Article  Google Scholar 

  • Byrne, M. R., & Polonsky, M. J. (2001). Impediments to consumer adoption of sustainable transportation: alternative fuel vehicles. International Journal of Operations & Production Management, 21(12), 1521–1538.

    Article  Google Scholar 

  • Capasso, C., & Veneri, O. (2014). Experimental analysis on the performance of lithium based batteries for road full electric and hybrid vehicles. Applied Energy, 136, 921–930.

    Article  Google Scholar 

  • Damart, S., & Roy, B. (2009). The uses of cost–benefit analysis in public transportation decision-making in France. Transport Policy, 16(4), 200–212.

    Article  Google Scholar 

  • Deakin, E. (2001). Sustainable development and sustainable transportation: Strategies for economic prosperity, environmental quality, and equity. Institute of Urban and Regional Development.

    Google Scholar 

  • Do, D. H., Van Langenhove, H., Chigbo, S. I., Amare, A. N., Demeestere, K., & Walgraeve, C. (2014). Exposure to volatile organic compounds: Comparison among different transportation modes. Atmospheric Environment, 94, 53–62.

    Article  Google Scholar 

  • Fischer, T. B. (2002). Strategic environmental assessment in transport and land use planning. London: Earthscan Publications.

    Google Scholar 

  • Gehin, A., Zwolinski, P., & Brissaud, D. (2008). A tool to implement sustainable end-of-life strategies in the product development phase. Journal of Cleaner Production, 16(5), 566–576.

    Article  Google Scholar 

  • Hsu, C. Y., Yang, C. S., Yu, L. C., Lin, C. F., Yao, H. H, Chen, D. Y, Robert Lai K., & Chang, P. C. (2014). Development of a cloud-based service framework for energy conservation in a sustainable intelligent transportation system. International Journal of Production Economics, 164, 454–461.

    Google Scholar 

  • King, D., (2013). UPS puts 100 electric trucks into service in central California. Autobloggreen. http://green.autoblog.com/2013/02/08/ups-puts-100-electric-trucks-into-service-in-central-california/.

  • Liang, J., & Shi, Z. (2004). The information entropy, rough entropy and knowledge granulation in rough set theory. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 12(01), 37–46.

    Google Scholar 

  • Liang, J., Shi, Z., Li, D., & Wierman, M. J. (2006). Information entropy, rough entropy and knowledge granulation in incomplete information systems. International Journal of General Systems, 35(6), 641–654.

    Article  Google Scholar 

  • Litman, T. (2005). Efficient vehicles versus efficient transportation. Comparing transportation energy conservation strategies. Transport Policy, 12(2), 121–129.

    Google Scholar 

  • Litman, T. (2013). Transportation and public health. Annual Review of Public Health, 34, 217–233.

    Article  Google Scholar 

  • Litman, T., & Burwell, D. (2006). Issues in sustainable transportation. International Journal of Global Environmental Issues, 6(4), 331–347.

    Article  Google Scholar 

  • Mabit, S. L., & Fosgerau, M. (2011). Demand for alternative-fuel vehicles when registration taxes are high. Transportation Research Part D: Transport and Environment, 16(3), 225–231.

    Article  Google Scholar 

  • Mula, J., Peidro, D., Díaz-Madroñero, M., & Vicens, E. (2010). Mathematical programming models for supply chain production and transport planning. European Journal of Operational Research, 204(3), 377–390.

    Article  Google Scholar 

  • Nanaki, E. A., & Koroneos, C. J. (2012). Comparative LCA of the use of biodiesel, diesel and gasoline for transportation. Journal of Cleaner Production, 20(1), 14–19.

    Article  Google Scholar 

  • Opricovic, S., & Tzeng, G. H. (2002). Multicriteria planning of post-earthquake sustainable reconstruction. Computer-Aided Civil and Infrastructure Engineering, 17(3), 211–220.

    Article  Google Scholar 

  • Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445–455.

    Article  Google Scholar 

  • Opricovic, S., & Tzeng, G. H. (2007). Extended VIKOR method in comparison with outranking methods. European Journal of Operational Research, 178(2), 514–529.

    Article  Google Scholar 

  • Pawlak, Z. (1982). Rough sets. International Journal of Computer and Information Sciences, 11(5), 341–356.

    Article  Google Scholar 

  • Pawlak, Z. (1991). Rough sets: Theoretical aspects of reasoning about data (Vol. 9). london: Springer.

    Google Scholar 

  • Phillis, Y. A., & Andriantiatsaholiniaina, L. A. (2001). Sustainability: An ill-defined concept and its assessment using fuzzy logic. Ecological Economics, 37(3), 435–456.

    Article  Google Scholar 

  • Rose, L., Hussain, M., Ahmed, S., Malek, K., Costanzo, R., & Kjeang, E. (2013). A comparative life cycle assessment of diesel and compressed natural gas powered refuse collection vehicles in a Canadian city. Energy Policy, 52, 453–461.

    Article  Google Scholar 

  • Russo, F., & Comi, A. (2010). Measures for sustainable freight transportation at urban scale: Expected goals and tested results in Europe. Journal of Urban Planning and Development, 137(2), 142–152.

    Google Scholar 

  • Shah, N., Kumar, S., Bastani, F., & Yen, I. (2012). Optimization models for assessing the peak capacity utilization of intelligent transportation systems. European Journal of Operational Research, 216(1), 239–251.

    Article  Google Scholar 

  • Takeshita, T. (2012). Assessing the co-benefits of CO2 mitigation on air pollutants emissions from road vehicles. Applied Energy, 97, 225–237.

    Article  Google Scholar 

  • Tzeng, G. H., Lin, C. W., & Opricovic, S. (2005). Multi-criteria analysis of alternative-fuel buses for public transportation. Energy Policy, 33(11), 1373–1383.

    Article  Google Scholar 

  • Wang, D., Zamel, N., Jiao, K., Zhou, Y., Yu, S., Du, Q., & Yin, Y. (2013). Life cycle analysis of internal combustion engine, electric and fuel cell vehicles for China. Energy, 59, 402–412.

    Article  Google Scholar 

  • Wang, J., Lu, H., & Peng, H. (2008). System dynamics model of urban transportation system and its application. Journal of Transportation Systems Engineering and Information Technology, 8(3), 83–89.

    Article  Google Scholar 

  • Wood, C. (2003). Environmental impact assessment: a comparative review. New York: Pearson Education.

    Google Scholar 

  • Yan, X., & Crookes, R. J. (2010). Energy demand and emissions from road transportation vehicles in China. Progress in Energy and Combustion Science, 36(6), 651–676.

    Article  Google Scholar 

  • Yedla, S., & Shrestha, R. M. (2003). Multi-criteria approach for the selection of alternative options for environmentally sustainable transport system in Delhi. Transportation Research Part A: Policy and Practice, 37(8), 717–729.

    Google Scholar 

  • Yu, P. L. (1973). A class of solutions for group decision problems. Management Science, 19(8), 936–946.

    Article  Google Scholar 

  • Zhao, J., & Melaina, M. W. (2006). Transition to hydrogen-based transportation in China: Lessons learned from alternative fuel vehicle programs in the United States and China. Energy Policy, 34(11), 1299–1309.

    Article  Google Scholar 

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Acknowledgments

This work was supported by the National Natural Science Foundation of China Project (71102090, 71472031); Program for Liaoning Excellent Talents in University (WJQ2014029).

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Authors and Affiliations

  1. School of Management Science and Engineering, Dongbei University of Finance and Economics, Dalian, China

    Chunguang Bai

  2. Institute of Transport and Logistics Studies, The University of Sydney Business School, The University of Sydney, Sydney, Australia

    Behnam Fahimnia

  3. Foisie School of Business, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA, 01609-2280, USA

    Joseph Sarkis

Authors
  1. Chunguang Bai
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  2. Behnam Fahimnia
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  3. Joseph Sarkis
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Corresponding author

Correspondence to Chunguang Bai .

Editor information

Editors and Affiliations

  1. Institute of Transport and Logistics Studies, The University of Sydney Business School,The University of Sydney, Sydney, New South Wales, Australia

    Behnam Fahimnia

  2. Institute of Transport and Logistics Studies, The University of Sydney Business School,The University of Sydney, Sydney, New South Wales, Australia

    Michael G.H. Bell

  3. Institute of Transport and Logistics Studies, The University of Sydney Business School,The University of Sydney, Sydney, New South Wales, Australia

    David A. Hensher

  4. Worcester Polytechnic Institute, Foisie School of Business, Worcester, Massachusetts, USA

    Joseph Sarkis

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Bai, C., Fahimnia, B., Sarkis, J. (2015). Green Transport Fleet Appraisal. In: Fahimnia, B., Bell, M., Hensher, D., Sarkis, J. (eds) Green Logistics and Transportation. Greening of Industry Networks Studies, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-17181-4_5

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