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| 035 | _a.b12462287 | ||
| 099 | 9 | _aAIT Thesis no.DS-25-01 | |
| 100 | 1 | _aSupawadee Srimongkol | |
| 245 | 1 | 0 | _aAssessment of spatio-temporal status and trends of electric vehicle adoption in Thailand |
| 260 |
_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2025 |
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_a87 leaves : _bill.+ _e1 online resource |
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_aThesis ; _vno. DS-25-01 |
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| 500 | _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Development and Sustainability | ||
| 502 | _aThesis (M. Sc.) - Asian Institute of Technology, 2025 | ||
| 520 | _aWhile 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. | ||
| 650 | 0 |
_aElectric veshicles _zThailand |
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| 650 | 0 |
_aElectric vehicles _xStatistical methods |
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| 650 | 0 | _aSpatial analysis (Statistics) | |
| 700 | 1 |
_aPramanik, Malay Kumar, _eChairperson |
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| 700 | 1 |
_aTripathi, Nitin Kumar, _eExamination Committee |
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| 700 | 1 |
_aTsusaka, Takuji W., _eExamination Committee |
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| 710 | 2 |
_aRoyal Thai Government Fellowship, _eScholarship Donor |
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_aAsian Institute of Technology. _tThesis ; _vno. DS-25-01 |
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| 856 | 4 | 0 |
_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B22595 |
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