Driving the Mass Market: How Infrastructure Readiness and User Experience Shape Consumer Valuation of Electric Vehicles in Thailand

Electric vehicles (EVs) are increasingly recognized as a sustainable transportation solution; however, mass-market adoption in Thailand remains limited due to infrastructure constraints, technological complexity, and evolving consumer perceptions. This study examines the effects of charging infrastructure accessibility, perceived ease of use, and psychological driving experience on consumers’ willingness to pay (WTP) for EVs. A quantitative approach was employed using survey data collected from 400 EV users and analyzed through Structural Equation Modeling (SEM). Grounded in the Technology Acceptance Model (TAM) and the Theory of Consumption Values (TCV), the study reveals that charging infrastructure accessibility significantly enhances perceived ease of use, driving experience, and WTP. In addition, perceived ease of use and driving experience positively influence consumers’ financial commitment toward EV adoption and partially mediate the relationship between infrastructure accessibility and WTP. The findings indicate that EV consumer valuation is shaped by both functional infrastructure readiness and psychological user experience. The study contributes to EV consumer behavior literature by integrating cognitive and experiential perspectives and provides practical implications for policymakers and industry stakeholders seeking to accelerate EV adoption in Thailand.

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Publication Details

Journal
World Electric Vehicle Journal
Published
2026-06-29
DOI
https://doi.org/10.3390/wevj17070340
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00

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article

Driving the Mass Market: How Infrastructure Readiness and User Experience Shape Consumer Valuation of Electric Vehicles in Thailand

Adisak Suvittawat, Nutchanon Suvittawat
World Electric Vehicle Journal
Electric Vehicles and Infrastructure
article

Driving the Mass Market: How Infrastructure Readiness and User Experience Shape Consumer Valuation of Electric Vehicles in Thailand

Adisak Suvittawat, Nutchanon Suvittawat
article en

Abstract

Electric vehicles (EVs) are increasingly recognized as a sustainable transportation solution; however, mass-market adoption in Thailand remains limited due to infrastructure constraints, technological complexity, and evolving consumer perceptions. This study examines the effects of charging infrastructure accessibility, perceived ease of use, and psychological driving experience on consumers’ willingness to pay (WTP) for EVs. A quantitative approach was employed using survey data collected from 400 EV users and analyzed through Structural Equation Modeling (SEM). Grounded in the Technology Acceptance Model (TAM) and the Theory of Consumption Values (TCV), the study reveals that charging infrastructure accessibility significantly enhances perceived ease of use, driving experience, and WTP. In addition, perceived ease of use and driving experience positively influence consumers’ financial commitment toward EV adoption and partially mediate the relationship between infrastructure accessibility and WTP. The findings indicate that EV consumer valuation is shaped by both functional infrastructure readiness and psychological user experience. The study contributes to EV consumer behavior literature by integrating cognitive and experiential perspectives and provides practical implications for policymakers and industry stakeholders seeking to accelerate EV adoption in Thailand.

World Electric Vehicle JournalVol. 17(7)
Singapore University of Technology and Design (SG), Suranaree University of Technology (TH)
Suranaree University of Technology
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Electric Vehicles and Infrastructure
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Driving the Mass Market: How Infrastructure Readiness and User Experience Shape Consumer Valuation of Electric Vehicles in Thailand — Adisak Suvittawat, Nutchanon Suvittawat · World Electric Vehicle Journal (2026) | TGRS Research Map | TGRS