Prioritization of zero-carbon measures for sustainable urban mobility using integrated double hierarchy decision framework and EDAS approach

Zero-carbon is the current buzzword triggering the minds of every people in the world. The current pandemic situation has given the world an alarm to act towards the reduction/eradication of carbon footprint. Developing countries like India are striving hard to strike a balance between sustainability and global growth. To support the nation, certain measures and their prioritization would be helpful. Motivated by this notion, in this study, a new framework is proposed with double hierarchy fuzzy information, which not only gives experts a better style to articulate preferences linguistically but also makes a rational decision with methodical support. Mayor's transport strategy, 2018 is a popular document that provides valuable information towards sustainable transport practices, and the measures considered in this study are adapted from the same. In this framework, (i) a novel attitudinal evidence-based Bayesian approach is proposed for criteria weight estimation; (ii) experts' weights are determined by using variance approach, and (iii) Evaluation based on distance from average solution (EDAS) approach is extended for prioritizing zero-carbon measures. These approaches are integrated into a framework and its practicality is exemplified by considering a case example of prioritizing measures for a smart city in India. Finally, comparison with extant methods reveals the merits and shortcomings of the proposal. (c) 2021 Elsevier B.V. All rights reserved.

Automated summary

The newly proposed double hierarchy fuzzy information framework integrates different methods, providing a method to assist experts in decision-making. The practicality of the framework is demonstrated by considering a case example of a smart city in India. Additionally, comparison with existing methods reveals the merits and shortcomings of the proposal.