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Risk evaluation of electric vehicle charging infrastructure using Fuzzy AHP – a case study in India

Author

Listed:
  • Shubham Gupta

    (Netaji Subhas University of Technology)

  • Raghav Khanna

    (Netaji Subhas University of Technology)

  • Pranay Kohli

    (Netaji Subhas University of Technology)

  • Sarthak Agnihotri

    (Netaji Subhas University of Technology)

  • Umang Soni

    (Netaji Subhas University of Technology)

  • M. Asjad

    (Jamia Milia Islamia University)

Abstract

With increasing concerns of pollution in India, the usage of Electric Vehicles became popular, as it reduces the pollution and thereby promotes an emission free means of transport. Wide adoption of Electric Vehicles (EV) may require an effective and efficient network of charging infrastructure across the nation. In this research work an attempt has been made to study and analyze the risk factors associated with Public Private Partnership Project of EV across the India. The risk factors are identified, with the help of literature review and inputs received from the industry experts, and are divided into four main categories which consist of financial, market, political/legal and operational risks. The Fuzzy AHP approach is applied to find out the associated risk factors and rank them accordingly. In addition to that a sensitivity analysis is also carried out in order to assess the robustness of the solution methodology. The proposed research work will be helpful for the practicing engineers, academician, researcher and the concern Industries in order to promote the EV charging infrastructure in the most efficient and effective manner.

Suggested Citation

  • Shubham Gupta & Raghav Khanna & Pranay Kohli & Sarthak Agnihotri & Umang Soni & M. Asjad, 2023. "Risk evaluation of electric vehicle charging infrastructure using Fuzzy AHP – a case study in India," Operations Management Research, Springer, vol. 16(1), pages 245-258, March.
    • Handle: RePEc:spr:opmare:v:16:y:2023:i:1:d:10.1007_s12063-022-00290-8
    DOI: 10.1007/s12063-022-00290-8
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