A Multi-Criteria Decision-Making Based Analysis to Identify the Barries to Large-Scale Electric Vehicle Adoption in Thailand

Electric vehicles (EVs) are increasingly sustainable transportation solutions, yet their adoption faces several barriers. Despite growing global interest, consumer skepticism persists due to the dominance of internal combustion vehicles. In Thailand’s EV strategy, nine key challenges were identified, with cost-related factors like investment, resale value, and maintenance alongside technical issues, including battery-related issues, availability of servicing, and performance-related issues. The remaining issues correspond to policy issues like public infrastructure, private infrastructure, and financing. Determining the most impactful barriers to large-scale EV adoption is vital. Multi-criteria decision-making (MCDM) methodology can be applied to make informed decision-making problems involving numerous conflicting issues by calculating the relative weights of each alternative. This study uses an analytical hierarchical process (AHP) as an MCDM analytical tool. The result shows that investment and resale costs are the most important barriers among all nine issues, as listed with about 42% weightage, followed by maintenance cost with 18%. Battery-related issues, electricity tariffs, and lack of public infrastructure also pose a significant threat to EV adoption. Surprisingly, financing, including direct buyers’ subsidies, is ranked lowest. The result suggests a better approach would be to develop an EV industry environment and create an economy of scale to make EVs more affordable.

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Published
2025-03-05
DOI
https://doi.org/10.1109/ieecon64081.2025.10987756
Primary Topic
Electric Vehicles and Infrastructure
Type
article
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article

A Multi-Criteria Decision-Making Based Analysis to Identify the Barries to Large-Scale Electric Vehicle Adoption in Thailand

Khin Phyu Ye Myint, Terapong Boonraksa, Promphak Boonraksa, Ashok Paudel et al.
Electric Vehicles and Infrastructure
article

A Multi-Criteria Decision-Making Based Analysis to Identify the Barries to Large-Scale Electric Vehicle Adoption in Thailand

Khin Phyu Ye Myint, Terapong Boonraksa, Promphak Boonraksa, Ashok Paudel, Boonruang Marungsri, Anurak Deanseekeaw
article en

Abstract

Electric vehicles (EVs) are increasingly sustainable transportation solutions, yet their adoption faces several barriers. Despite growing global interest, consumer skepticism persists due to the dominance of internal combustion vehicles. In Thailand’s EV strategy, nine key challenges were identified, with cost-related factors like investment, resale value, and maintenance alongside technical issues, including battery-related issues, availability of servicing, and performance-related issues. The remaining issues correspond to policy issues like public infrastructure, private infrastructure, and financing. Determining the most impactful barriers to large-scale EV adoption is vital. Multi-criteria decision-making (MCDM) methodology can be applied to make informed decision-making problems involving numerous conflicting issues by calculating the relative weights of each alternative. This study uses an analytical hierarchical process (AHP) as an MCDM analytical tool. The result shows that investment and resale costs are the most important barriers among all nine issues, as listed with about 42% weightage, followed by maintenance cost with 18%. Battery-related issues, electricity tariffs, and lack of public infrastructure also pose a significant threat to EV adoption. Surprisingly, financing, including direct buyers’ subsidies, is ranked lowest. The result suggests a better approach would be to develop an EV industry environment and create an economy of scale to make EVs more affordable.

Rajamangala University of Technology Isan (TH), Rajamangala University of Technology Rattanakosin (TH), Rajamangala University of Technology Suvarnabhumi (TH), Suranaree University of Technology (TH)
Peace, Justice and strong institutions
Openalex Percentile: Top 92%
Electric Vehicles and Infrastructure
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A Multi-Criteria Decision-Making Based Analysis to Identify the Barries to Large-Scale Electric Vehicle Adoption in Thailand — Khin Phyu Ye Myint, Terapong Boonraksa, et al. · (2025) | TGRS Research Map | TGRS