Consumer adoption intention for electric vehicles: Insights and evidence from Indian sustainable transportation

2021 ◽  
Vol 173 ◽  
pp. 121089
Author(s):  
Deepak Jaiswal ◽  
Vikrant Kaushal ◽  
Rishi Kant ◽  
Pankaj Kumar Singh
Keyword(s):  
Electric Vehicles ◽  
Sustainable Transportation ◽  
Consumer Adoption ◽  
Adoption Intention

Investigating the role of electric vehicle knowledge in consumer adoption: evidence from an emerging market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deepak Jaiswal ◽  
Rishi Kant ◽  
Pankaj Kumar Singh ◽  
Rambalak Yadav
Keyword(s):  
Technology Acceptance ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Emerging Market ◽  
Perceived Usefulness ◽  
Consumer Adoption ◽  
Content Type ◽  
Near Future ◽  
Adoption Intention

PurposeThe use of electric vehicles has received popularity as alternative fuel vehicles to reduce greenhouse gas emissions and energy cost, which are expected to perform a crucial role in the near future of emerging mobility markets. The purpose of this empirical study is to analyse the role of electric vehicle knowledge in predicting consumer adoption intention directly and indirectly in the backdrop of an emerging market.Design/methodology/approachThe study approached an extended version of “Technology acceptance model” (TAM) based on the integrated framework of “knowledge-beliefs-intention”. The model was tested via direct and indirect path analyses with the data collected from Indian respondents using an online survey.FindingsThe results indicate the robustness of the present research model, which shows that consumer adoption is significantly driven by electric vehicle knowledge, perceived usefulness, perceived ease of use and perceived risk. Electric vehicle knowledge has emerged as the most powerful cognitive measure, which directly affects the adoption intention along with the measures of “TAM”. Additionally, this also poses a higher indirect effect on adoption intention in the integrated model.Research limitations/implicationsThe study has focused on potential young and educated consumers, which may not be warranted to generalise the research findings, while youth or millennials are more receptive to adopt innovative and clean technology products like electric vehicle. Based on the findings, implications are offered for encouraging electric vehicles in the backdrop of emerging automobile markets.Originality/valueConcerning this cognitive phenomenon of knowledge, scant literature has been explored the role of subjective knowledge in consumer adoption for electric vehicles, particularly in the emerging markets like India. Thus, the present study analyses how consumers' knowledge about electric vehicle affects their decision to adopt this in the near future of Indian zero-emission mobility market.

Comparative environmental life cycle assessment of conventional vehicles with different fuel options, plug-in hybrid and electric vehicles for a sustainable transportation system in Brazil

2018 ◽  
Vol 203 ◽  
pp. 444-468 ◽  
Author(s):  
Lidiane La Picirelli de Souza ◽  
Electo Eduardo Silva Lora ◽  
José Carlos Escobar Palacio ◽  
Mateus Henrique Rocha ◽  
Maria Luiza Grillo Renó ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Electric Vehicles ◽  
Transportation System ◽  
Sustainable Transportation ◽  
Environmental Life Cycle Assessment

scholarly journals Consumer Motivation to Enhance Purchase Intention Towards Electric Vehicles in Malaysia

2021 ◽  
Vol 124 ◽  
pp. 09003
Author(s):  
Haider Ali Abbasi ◽  
Zullina Hussain Shaari ◽  
Wajiha Moughal
Keyword(s):  
Electric Vehicles ◽  
Urban Areas ◽  
Purchase Intention ◽  
Combustion Engine ◽  
Life Quality ◽  
Consumer Adoption ◽  
Consumer Motivation ◽  
Poor Countries ◽  
The Government ◽  
Rich Countries

Transportation is extremely important in contributing to the life quality development of urban areas. However, it has influenced negatively on individuals and the environment due to carbon emissions and gases. Worldwide, organizations and countries are exploring a solution and have developed Electric Vehicles (EVs) as the best possible solution. Electric vehicles emit no exhaust emissions and are powered by batteries. The adoption rate of EVs in rich countries is increasing year after year, while consumer adoption intention of EVs in poor countries is quite low, particularly in Malaysia. The ownership percentage of Internal Combustion Engine Vehicles (ICEs) in Malaysia is 93 percent, placing it near the top of the globe, but EV adoption is just about 3.5 percent. Consumer awareness of EVs is quite low, which is why consumer adoption intentions toward EVs are not increasing. Malaysia is the world's 26th highest emitter of carbon and greenhouse gases (GHG). This study will assist in identifying the characteristics that can maximize consumer interest in EVs and will be beneficial to the government and industry in developing the market as stated in the Paris accord and achieving the Carbon Neutral Nation 2050 aim. The study will go through the motivators that lead consumers to purchase EVs. These characteristics will provide transportation sectors insights on bridging the demand and supply of sustainable vehicles.

scholarly journals Operating Charging Infrastructure in China to Achieve Sustainable Transportation: The Choice between Company-Owned and Franchised Structures

2019 ◽  
Vol 11 (6) ◽  
pp. 1549 ◽  
Author(s):  
Lin Ma ◽  
Yuefan Zhai ◽  
Tian Wu
Keyword(s):  
Electric Vehicles ◽  
Rapid Development ◽  
Sustainable Transportation ◽  
Sustainable Infrastructure ◽  
Charging Infrastructure ◽  
Initial Stage ◽  
Charging Stations ◽  
Operation Cost ◽  
Optimal Quality

The rapid development of electric vehicles (EVs) is conducive to clean transportation, which is an important aspect of sustainable infrastructure. However, the introduction of EVs is constrained by the lagging development of EV chargers. To optimally promote the development of charging stations, we analyzed the differences in the optimal quality and quantity of EV chargers between company-owned and franchised enterprises by constructing a theoretical model, and the changes in the quality and quantity of EV chargers in different market environments are discussed. We found that the total number of franchised charging stations was larger in general, but that the quality of the franchised charging stations was worse compared with the company-owned stations. The supervision cost, operation cost, and the investment return affect the quality and quantity of EV chargers. Although franchised structures are more conducive in the initial stage to increasing the number of charging stations to meet the needs of EVs, company-owned structures perform better and will be needed to improve the quality of the EV chargers as the market becomes more saturated, necessitating a higher quality of EV chargers.

Impediments to consumer adoption of sustainable transportation

2001 ◽  
Vol 21 (12) ◽  
pp. 1521-1538 ◽  
Author(s):  
Michael Raymond Byrne ◽  
Michael Jay Polonsky
Keyword(s):  
Sustainable Transportation ◽  
Consumer Adoption

scholarly journals The influence of electrochemical cycling protocols on capacity loss in nickel-rich lithium-ion batteries

2021 ◽  
Author(s):  
Wesley Dose ◽  
Jędrzej Krzysztof Morzy ◽  
Amoghavarsha Mahadevegowda ◽  
Caterina Ducati ◽  
Clare P. Grey ◽  
...  
Keyword(s):  
Transition Metal ◽  
Metal Oxides ◽  
Lithium Ion Batteries ◽  
Electric Vehicles ◽  
Transition Metal Oxides ◽  
Lithium Ion ◽  
Sustainable Transportation ◽  
Capacity Loss ◽  
Electrochemical Cycling ◽  
Layered Transition Metal

The transition towards electric vehicles and more sustainable transportation is dependent on lithium-ion battery (LIB) performance. Ni-rich layered transition metal oxides, such as NMC811 (LiNi0.8Mn0.1Co0.1O2), are promising cathode candidates for...

scholarly journals frvcpy: An Open-Source Solver for the Fixed Route Vehicle Charging Problem

2021 ◽  
Author(s):  
Nicholas D. Kullman ◽  
Aurelien Froger ◽  
Jorge E. Mendoza ◽  
Justin C. Goodson
Keyword(s):  
Open Source ◽  
Vehicle Routing ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Software Tool ◽  
Sustainable Transportation ◽  
Vehicle Routing Problems ◽  
Routing Problems ◽  
Vehicle Charging ◽  
Community Standard

Electric vehicles offer a pathway to more sustainable transportation, but their adoption entails new challenges not faced by their petroleum-based counterparts. A difficult task in vehicle routing problems addressing these challenges is determining how to make good charging decisions for an electric vehicle traveling a given route. This is known as the fixed route vehicle charging problem. An exact and efficient algorithm for this task exists, but its implementation is sufficiently complex to deter researchers from adopting it. In this work we introduce frvcpy, an open-source Python package implementing this algorithm. Our aim with the package is to make it easier for researchers to solve electric vehicle routing problems, facilitating the development of optimization tools that may ultimately enable the mass adoption of electric vehicles. Summary of Contribution: This work describes a novel software tool for the vehicle routing community. The tool, frvcpy, addresses one of the primary challenges faced by the vehicle routing community when considering problems involving the adoption of electric vehicles (EVs): how to make optimal charging decisions. The state-of-the-art algorithm for solving these problems is sufficiently complex to deter researchers from using it, leading them to adopt less robust methods. frvcpy offers an easy-to-use, lightweight implementation of this algorithm, providing optimal solutions in low (∼5 ms) runtime. It is designed to be easily embedded in larger solution schemes for general EV routing problems, requiring minimal input, offering compatibility with the community standard file types, and offering access both through the command line and a Python API. The tool has thus far proven adaptable, having been used by researchers studying EV routing problems with novel constraints. Our aim with frvcpy is to make it easier for researchers to solve EV routing problems, facilitating the development of optimization tools that may contribute toward the mass adoption of electric vehicles.

Sign in / Sign up

Export Citation Format

Share Document