Prioritisation of barriers in the implementation of electric mobility in Indian context using fuzzy analytical hierarchical process
By: Singhal, Ruchi
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Contributor(s): Patel, Chetan R.
Publisher: USA Springer 2022Edition: Vol.103(4), Dec.Description: 1225-1236p.Subject(s): Humanities and Applied SciencesOnline resources: Click here
In:
Journal of the institution of engineers (India): Series ASummary: The deteriorating ecosystem and rising emission levels have demanded from the transportation sector to switch towards more sustainable technology like electric vehicles. Even after the visible benefits of e-mobility, government and users are reluctant to use such low-carbon mobility option. Thus, this study aims to identify and prioritise the barriers in the adoption of e-mobility. From the literature review, twenty-three barriers are finalised and then fuzzy analytical hierarchical process is applied to compute their weights and rank based on a pairwise comparison of barriers with the help of different groups of experts. Results demonstrated that socio-economic barriers got the maximum weight, followed by infrastructural barriers and technological barriers. It reveals that if negative perception towards the electric vehicle is not improved, then it would be challenging to make e-mobility a success story.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2023-0357 |
The deteriorating ecosystem and rising emission levels have demanded from the transportation sector to switch towards more sustainable technology like electric vehicles. Even after the visible benefits of e-mobility, government and users are reluctant to use such low-carbon mobility option. Thus, this study aims to identify and prioritise the barriers in the adoption of e-mobility. From the literature review, twenty-three barriers are finalised and then fuzzy analytical hierarchical process is applied to compute their weights and rank based on a pairwise comparison of barriers with the help of different groups of experts. Results demonstrated that socio-economic barriers got the maximum weight, followed by infrastructural barriers and technological barriers. It reveals that if negative perception towards the electric vehicle is not improved, then it would be challenging to make e-mobility a success story.
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