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Information perspective for understanding consumers’ perceptions of electric vehicles and adoption intentions
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Self-healing features can reduce outage durations in medium-voltage distribution networks during peak charging hours by more than 60%.
“[73] highlights self-healing features can reduce outage durations in medium-voltage distribution networks during peak charging hours by more than 60%.”
From Economic Impacts and Mitigation for the Grid Connected Electric Vehicle Charging: A Technical and Operational Overview (2026) · cites this paper as [73]
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AIMQ: a methodology for information quality assessment
Lee, Y. W., Strong, D. M., Kahn, B. K., & Wang, R. Y. (2002) · Information & Management · doi:10.1016/s0378-7206(02)00043-5 · Cited by 1,611
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Ikhajangbe, O. E., Dhulipati, H., & Liu, S. (2026) · IEEE Access · doi:10.1109/access.2026.3684508 · Cited by 5
Metadata
- Authors
- Zhang, W., Wang, S., Wan, L., Zhang, Z., & Zhao, D.
- Affiliations
- University of Science and Technology of China (CN)
- Corresponding author
- Wang, Shanyong
- Venue
- Transportation Research Part D: Transport and Environment
- Publisher
- Elsevier BV
- Published
- 2022-01
- Volume
- 102
- Pages
- 103157
- ISSN
- 1361-9209 (ISSN-L)
- OpenAlex
- W4200272837
- Cited by
- 127
- References
- 2
- Citations by year
- 2026: 25 · 2025: 33 · 2024: 36 · 2023: 20 · 2022: 13
- FWCI
- 5.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Transportation Research Part D Transport and Environment (publishedVersion)
- Funders
- University of Science and Technology of China (YD2160002002)
- National Natural Science Foundation of China (71974177, 71601174)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Sociology and Political Science › Social Acceptance of Renewable Energy
- Keywords
- electric vehicles, consumer perception, adoption intention, perceived value, perceived trust, information quality
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