TY  - SER
AU  - Supawadee Srimongkol
AU  - Pramanik,Malay Kumar
AU  - Tripathi,Nitin Kumar
AU  - Tsusaka,Takuji W.
ED  - Royal Thai Government Fellowship,
TI  - Assessment of spatio-temporal status and trends of electric vehicle adoption in Thailand
T2  - Thesis
PY  - 2025///
CY  - Pathum Thani, Thailand
PB  - Asian Institute of Technology
KW  - Electric veshicles
KW  - Thailand
KW  - Electric vehicles
KW  - Statistical methods
KW  - Spatial analysis (Statistics)
N1  - A thesis submitted in partial fulfillment of the requirements for the  degree of Master of Science in Development and Sustainability; Thesis (M. Sc.) - Asian Institute of Technology, 2025
N2  - While electric vehicle (EV) adoption is accelerating globally, research has  disproportionately focused on high-income countries, leaving a critical gap in  understanding how adoption unfolds in emerging economies. In Southeast Asia,  including Thailand, regional disparities, infrastructure limitations, and behavioral  challenges complicate the transition to low-carbon mobility. This study examines the spatio-temporal trends and key factors influencing EV  adoption in Thailand between 2019 and 2024. Using a mixed-methods approach, it  combines GIS-based spatial analysis, a structured driver survey, and binary logistic  regression to analyze regional patterns and determinants of EV ownership. The research  also reviews policy documents to contextualize findings within Thailand{u2019}s evolving  electric mobility landscape.  Results reveal that EV adoption is growing rapidly in urban areas like Bangkok and the  Eastern Economic Corridor (EEC), while rural provinces lag due to limited charging  infrastructure and lower public awareness. Logistic regression shows that age,  occupation, awareness of charging stations, and perceived cost-effectiveness  significantly influence adoption. Contrary to earlier assumptions,respondents with  firsthand EV experience and awareness of government incentives were more likely to  adopt EVs, emphasizing the role of exposure and policy clarity in shaping behavior.  Based on these findings, the study prioritizes five interrelated policy actions: (1) expanding visible and accessible charging infrastructure, (2) enhancing public  awareness campaigns grounded in real user experience, (3) improving the clarity and  delivery of financial incentives, (4) promoting equitable EV access in rural areas, and  (5) fostering local public{u2013}private collaboration. Among these, infrastructure visibility  and affordability emerged as the most influential factors offering clear direction for targeted interventions.This study advances the literature by integrating spatial,  behavioral, and policy dimensions, offering a regionally grounded framework for EV  promotion in developing economies
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B22595
ER  -