| Abstract |
The freight transport industry of developing nations are trying very hard to achieve environmental sustainability in their logistics business. Meanwhile, it is essential to identify the transformation path towards sustainable freight transport for every nation. This paper has presented a framework based on transition management (TM) theory to identify, classify, and measure the important environmentally responsible transport practices (ERTPs). This work utilizes a two-step methodology comprised of a grey clustering (GC) algorithm and a compromise ranking method, i.e., VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) for prioritization of ERTPs performance. The GC algorithm is used to classify the ERTPs based on their impact on selected transport processes. Initially, this study identifies thirty-five ERTPs and four transport performance clusters. The proposed framework is validated with the Indian freight transport industry. The GC algorithm classifies twenty-one and fourteen practices as a high priority and moderate priority, respectively. The VIKOR method is used to compute the group utility, individual regret, and possibility value of high priority ERTPs. The ERTPs such as developing efficient freight terminal, compliance with government transport emission law and practice, promoting the use of the green container, environmental certification of freight carriers, and using alternative fuels are found as poor performing practices in the Indian freight transport industry. The proposed decision model robustness is tested with the sensitivity analysis, and a final ranking of the high priority ERTPs is presented. The outcomes of this research help logistics practitioners and policymakers in managing the ERTPs of freight logistics systems and develop a roadmap for improving freight transport sustainability. (c) 2021 Elsevier Ltd. All rights reserved. |
