Barriers to Electric Vehicle Adoption in Thailand

Kongklaew, Chanwit; Phoungthong, Khamphe; Prabpayak, Chanwit; Chowdhury, Shahariar; Khan, Imran; Yuangyai, Nuttaya; Yuangyai, Chumpol; Techato, Kuaanan

doi:10.3390/su132212839

Cited by 49 publications

(27 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies suggest a range of potential barriers to electric vehicle adoption. Concern about battery range is frequently cited as a primary issue for potential adopters [55][56][57][58]. Additional concerns about charging access and duration present additional barriers [55,59].…”

Section: Equitable Technology Accessmentioning

confidence: 99%

Emerging environmental justice issues at the intersection of transportation and electricity systems

Hennessy,

Azevedo

2024

Prog. Energy

View full text Add to dashboard Cite

Rapid decarbonization of the transportation system is needed to address global climate change, and electrification of the transportation sector will likely be an important strategy to achieve decarbonization goals. While electrification is an effective approach to reducing carbon emissions, it may result in environmental justice consequences that need to be tackled. We discuss four categories of related issues: air quality and health-related equity; technology access; equitable infrastructure development; and a just global supply chain. In regions where grid decarbonization is well under way, transport-related disparities in air quality and health are expected to decrease with electrification. In contrast, in regions that still rely heavily on coal generation, disparities may increase, putting further strain on low-income communities and people of color. The high upfront cost of electric vehicles and limited access to charging present additional challenges for achieving equity in transportation electrification. Meeting the electricity demand of a fully electric vehicle fleet will require rapid expansion of power generation, transmission, and distribution capacity, and the location and design of this infrastructure will have further impacts on communities where it is sited. Here, we offer a perspective on these emerging environmental justice issues at the intersection of transportation and electricity systems and provide policy recommendations and future research directions for electrified transportation. We suggest there is a need for policies targeting electrification and power sector decarbonization in tandem, assessment of barriers to electric vehicle adoption in different groups, development of strategies for community inclusion in infrastructure development decisions, and creation of frameworks to assess equity tradeoffs along the global supply chain supporting electric vehicles and renewable energy technologies.

show abstract

Section: Equitable Technology Accessmentioning

confidence: 99%

Emerging environmental justice issues at the intersection of transportation and electricity systems

Hennessy,

Azevedo

2024

Prog. Energy

View full text Add to dashboard Cite

show abstract

“…For example, Zubaryeva et al [31] divided EV adoption barriers into demographic criteria, environmental criteria, energy criteria, and transportation criteria. Some classified these impediments into three categories: infrastructure, financial, and tech-nological obstacles [11,12,32]. These barriers were classified in this paper as infrastructure policy, technological, and market barriers.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Two studies on this topic were discovered focusing on the Thai market. Kongklaew et al [11] investigated the relationship between barriers and personal characteristics on the consumer side of EV adoption. Meesuwan [12] conducted a qualitative analysis to identify barriers to EVs uptake in Thailand.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Analytical Hierarchy Process for Strategic Decision Making in Electric Vehicle Adoption

2023

View full text Add to dashboard Cite

In response to the requirement to address the global climate crisis in urban areas caused by the logistics sector, an increasing number of governments around the world have begun aggressive strategic actions to encourage manufacturers and consumers to adopt electric vehicle (EV) technology. One of the most beneficial aspects of driving an EV is that it reduces pollution while also reducing the use of fossil fuels, as well as improving public health by improving local air quality. Nevertheless, the level of EV adoption differs significantly across markets and geographies. EV adoption barriers slow the overall rate of electric mobility. This study ranks a list of obstacles and sub-hindrances to the adoption of electric vehicles in Thailand using the Fuzzy Analytical Hierarchy Process (FAHP), a Multi-Criteria Decision Making (MCDM) technique. The results showed that infrastructure policy barrier (A), which had the highest weight of 0.6058, was the biggest barrier to EV adoption, followed by technological barrier (B) with a weight of 0.2657, and then by market barrier with a weight of 0.1285. Insufficient charging infrastructure network (A3), lack of proper government support/incentives and collaboration (A1), insufficient electric power supply (A2), high capital cost (C3), and EV charging time (B3) were key sub-barriers to EV adoption in Thailand. Decision Making Systems (DMS) have additionally been created to assist executives in making decisions about the aforementioned barriers. The DMS is based on the concept of computer-aided decision making in that it allows for direct user interaction, analysis, and the ability to change circumstances and the decision-making process based on the executives’ own experience and abilities. Thus, the findings of this study aid in the formulation of market strategies for relevant stakeholders and shed light on potential policy responses.

show abstract

“…According to (2), the objective is to maximise the coverage of POIs by any given charging station. Simultaneously, the number of selected charging station locations must be minimised, with conditions set by ( 3) to (6). Equation ( 3) calculates the distance between two station locations.…”

Section: Charging Station Location Optimisationmentioning

confidence: 99%

“…Furthermore, technological advancements have positioned EVs as strong competitors to conventional internal combustion engine vehicles (ICEVs) [4,5]. However, concerns about driving range and the adequacy of public charging infrastructure remain barriers to potential EV adopters [6,7].…”

Section: Introductionmentioning

confidence: 99%

Optimal locating and sizing of charging stations for large‐scale areas based on GIS data and grid partitioning

Prakobkaew,

Sirisumrannukul

2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

This research proposes an optimisation model for identifying the optimal locations and sizes of public charging stations for large‐scale areas based on geographic information system (GIS) data and grid partitioning. A grid partitioning technique is utilised to generate subareas and investigate the demand for electric vehicle (EV) chargers calculated based on the number of EVs in each subarea. The optimal locations are formulated as a maximum covering location problem and solved by integer programming to ensure that all vehicle access subareas, according to the GIS data, are covered by charging stations. The sizes of charging stations are formulated as a knapsack problem and solved by the EV‐charge point ratio to guarantee each subarea has the appropriate number of chargers. The Voronoi diagram is integrated to estimate vehicle density and improve visualisation. The model is extended to include potential power loss reduction by adjusting the distribution of chargers in relation to the proximity to electrical substations. The developed methodology has been implemented by the whole country area of Thailand, which covers an area of approximately 510,000 km2. The study results are represented in a map blueprint that is very useful in strategic planning to support the so‐called EV30@30 government policy's ambitious national target of 2,050,000 units of EVs in 2030.

show abstract

Barriers to Electric Vehicle Adoption in Thailand

Cited by 49 publications

References 43 publications

Emerging environmental justice issues at the intersection of transportation and electricity systems

Emerging environmental justice issues at the intersection of transportation and electricity systems

Fuzzy Analytical Hierarchy Process for Strategic Decision Making in Electric Vehicle Adoption

Optimal locating and sizing of charging stations for large‐scale areas based on GIS data and grid partitioning

Contact Info

Product

Resources

About