Factors affecting consumers’ preferences for electric vehicle: A Korean case

Jung, Jihyeok; Yeo, Sang-Min; Lee, Yeonjeong; Moon, Saedaseul; Lee, Deok-Joo

doi:10.1016/j.rtbm.2021.100666

Cited by 17 publications

(15 citation statements)

References 28 publications

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“…The review of literature also indicates that the past studies on electric vehicles have been majorly conducted in developed countries such as Canada [38,39], US [40,45,52], Belgium [41], Germany [42], Japan [43], The Netherlands [44], Spain [49], Italy [53,54], Australia [55], South Korea [56] and countries where electric vehicles are already a popular mode of transport such as China [48,50,51]. Due to significant difference in transport and urban characteristics, factors influencing consumer buying behavior towards electric vehicles is likely to vary across different countries and geographical regions [44,59].…”

Section: Literature Review and Scope Of The Researchmentioning

confidence: 96%

“…Attitude towards the environment also strongly influence consumers' willingness to purchase electric vehicles. Ewing and Sarigollou [38] and Jung et al [56] found that consumers who are actively concerned about the environment are more willing to purchase clean-fuel vehicles than those who are unconcerned. The symbolic-affective value is also an important attribute influencing the choice of environmentally friendly vehicles.…”

Section: Literature Review and Scope Of The Researchmentioning

confidence: 99%

“…The existing literature reports the application of several econometric models such as Multinomial Logit (MNL) model [38,45,53], Nested Multinomial Logit (NMNL) model [39], Latent Class (LC) model [40,47,49], Hierarchical Bayes (HB) method [41], Mixed Logit (ML) model [42,43,52], Multinomial Probit (MNP) model [46], and Hybrid Choice (HC) Model [54,56] to estimate consumers' willingness to pay (WTP) for electric vehicles and their attributes. The review suggests that MNL and ML models are the two most extensively used models for valuation of electric vehicle attributes.…”

Section: Literature Review and Scope Of The Researchmentioning

confidence: 99%

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Analyzing Prospective Owners’ Choice Decision towards Plug-in Hybrid Electric Vehicles in Urban India: A Stated Preference Discrete Choice Experiment

Bera

Maitra

2021

Sustainability

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Plug-in Hybrid Electric Vehicles (PHEVs) can help decarbonize road transport in urban India. To accelerate the diffusion of PHEVs, investigation of commuter preferences towards the attributes of PHEVs is necessary. Therefore, the present study analyzes prospective owners’ choice decisions towards PHEVs in a typical Indian context. A stated preference survey was designed to collect responses from the current owners of conventional vehicles (CVs) in Delhi, India, and Mixed Logit (ML) models were developed to estimate commuters’ Willingness To Pay (WTP) for a set of key PHEV-specific attributes. The decomposition effect of prospective owners’ sociodemographic characteristics and trip characteristics on the mean estimates of random parameters was investigated by developing ML models with heterogeneity. Subsequently, the influence of improvement of each PHEV-specific attribute on prospective owners’ choice probability was investigated by calculating marginal effects. Among the various PHEV-specific attributes considered in the present study, high WTPs are observed for decrease in battery recharging time, reduction in tailpipe emission and increase in electric range. Therefore, an added emphasis on these attributes by vehicle manufacturers is likely to enhance the attractiveness of PHEVs to Indian commuters. The results also highlight the importance of government subsidy for promoting PHEVs in the Indian market. Prospective owners’ income, availability of home-based parking space, and average daily trip length are found to significantly influence the choice decision of Indian commuters towards PHEVs.

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Section: Literature Review and Scope Of The Researchmentioning

confidence: 96%

Section: Literature Review and Scope Of The Researchmentioning

confidence: 99%

Section: Literature Review and Scope Of The Researchmentioning

confidence: 99%

See 1 more Smart Citation

Analyzing Prospective Owners’ Choice Decision towards Plug-in Hybrid Electric Vehicles in Urban India: A Stated Preference Discrete Choice Experiment

Bera

Maitra

2021

Sustainability

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“…Firstly, a questionnaire is a commonly used method and plays an important role in understanding preferences. Jung et al [11] presented a stated preference study of electric vehicles (EVs) in the Korean automobile market based on data from a questionnaire conducted in February 2018 in Korea. Papantoniou et al [12] developed a questionnaire for a sample of 150 users to investigate users' preferences for the selection and use of electric passenger vehicles.…”

Section: Literature Reviewmentioning

confidence: 99%

“…What methods have been used to understand customer preferences for new energy vehicles? To the best of our knowledge, four methods have been adopted by researchers: (1) using a questionnaire, which is a commonly used method; (2) mining customer data on various websites or apps, supported by big data technology and machine learning technology; (3) mathematical modeling analysis, which is also often used by scholars; and (4) conducting preference analysis experiments using devices, which is a less commonly used but meaningful research method [9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

A Study of Customer Preference Transmission for New Energy Vehicles Based on a Signaling Game and Separating Equilibrium

Zhang,

2024

Sustainability

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Although there are many methods that can be used to obtain customer preferences for new energy vehicles, most studies generally overlook the fact that customer preferences are private information. The purpose of this study is to investigate the transmission mechanism of customer preferences by taking into account situations in which customers lie. Through a signaling game model, this study analyzed the transmission mechanism of customer preference information for the center control touch screen of new energy vehicles based on separation equilibrium. The results show that when inequality (1) remains, such an equilibrium forms: the customers send the real preference signal, the manufacturer then adopts a new sample consistent with the received signal and prices the product accordingly, and, finally, the customers pay for the new NEV. When inequality (2) remains, the following equilibrium forms: customers signal the opposite of their private preference, the manufacturer then adopts a new sample opposite to the received signal, and, finally, customers pay for the new NEV.

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Developing an incentive‐based model for efficient product recovery and reverse logistics

Gautam,

Bolia

2024

Bus Strat Env

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This study presents an inventive model aligning with sustainable development goals (SDGs) 11, 12, and 9. SDG 11 emphasizes sustainable urban aspects, SDG 12 centers on responsible consumption, and SDG 9 highlights resilient infrastructure. Focused on enhancing operational profits, the model integrates a robust reverse logistics network and policy framework to ensure safe disposal and environmental preservation. Employing the CPLEX solver software, we evaluated various methodologies, including proximity‐based allocation, set covering problems, p‐median allocation, and capacity‐relaxed models, to maximize profitability and efficiency in battery return systems. Our findings underscored the limitations of conventional proximity‐based methods, emphasizing the necessity of advanced optimization. Scenario 3, utilizing the p‐median problem, emerged as the most profitable, optimizing customer allocation and reducing distance‐related costs. Additionally, our sensitivity analysis highlighted the collection rate parameter's pivotal role in influencing customer behavior and overall system profitability. The study also emphasizes the significance of accessible collection centers, revealing disparities in accessibility across customer zones. These findings call for nuanced analyses to ensure equitable access. Implications include advocating for strategic policies to enhance collection rates, optimize center accessibility, and promote responsible disposal, benefiting policymakers, industry professionals, and environmental stakeholders. Ultimately, this research contributes to sustainable practices, fostering eco‐conscious societies, and accelerating progress toward SDGs.

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Factors affecting consumers’ preferences for electric vehicle: A Korean case

Cited by 17 publications

References 28 publications

Analyzing Prospective Owners’ Choice Decision towards Plug-in Hybrid Electric Vehicles in Urban India: A Stated Preference Discrete Choice Experiment

Analyzing Prospective Owners’ Choice Decision towards Plug-in Hybrid Electric Vehicles in Urban India: A Stated Preference Discrete Choice Experiment

A Study of Customer Preference Transmission for New Energy Vehicles Based on a Signaling Game and Separating Equilibrium

Developing an incentive‐based model for efficient product recovery and reverse logistics

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