scholarly journals EXPLORING FACTORS INFLUENCING ELECTRIC VEHICLE USAGE INTENTION: AN EMPIRICAL STUDY IN MALAYSIA

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Yew-Ngin Sang ◽  
Hussain Ali Bekhet
Keyword(s):  
Empirical Study ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Environmental Concern ◽  
Public Acceptance ◽  
Psychological Benefits ◽  
Policy Makers ◽  
Increase Energy Efficiency ◽  
Factors Influencing ◽  
Vehicle Usage

The rationale of this study is to investigate the factors influencing electric vehicle usage intention in Malaysia. Empirical study using survey questionnaires are distributed to a judgment sampling of 500 drivers in Selangor and Federal Territories (Kuala Lumpur and Putrajaya). A research model based on the Theory of Planned Behavior was proposed as the underlying framework to realize the objective of the study. Linear regression-stepwise technique was used to test the research hypotheses. The results finding indicated that the electric vehicle usage intention in Malaysia is very much influenced by Environmental Concern, Consumer Knowledge, Psychological Benefits and Demographics. Hence, this paper provides valuable information for automotive players planning to market electric vehicles in Malaysia. It offers insights for formulation of marketing strategies that will address the real wants and needs of their future clients based on the identified factors in this study. Meanwhile, policy makers should formulate appropriate intervention and policies to encourage the growth of electric vehicles usage in Malaysia as a strategy to increase energy efficiency, reduce carbon emissions and minimize the reliance on fossil fuel in the automotive sector. Future study is suggested to be done to explore more factors that might influence public acceptance and to improve characterization of respondents by including more cities in Malaysia.Keywords: Public Acceptance; Usage Intention; Electric Vehicles; Malaysia.

Adding Electric Vehicle Modeling Capability to an Agent-Based Transport Simulation

2014 ◽  
pp. 282-318 ◽  
Author(s):  
Rashid A. Waraich ◽  
Gil Georges ◽  
Matthias D. Galus ◽  
Kay W. Axhausen
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Travel Demand ◽  
Interdisciplinary Approach ◽  
Electricity Demand ◽  
Policy Makers ◽  
Agent Based ◽  
Vehicle Modeling ◽  
Electricity Network ◽  
Renewable Electricity Generation

Battery-electric and plug-in hybrid-electric vehicles are envisioned by many as a way to reduce CO2 traffic emissions, support the integration of renewable electricity generation, and increase energy security. Electric vehicle modeling is an active field of research, especially with regards to assessing the impact of electric vehicles on the electricity network. However, as highlighted in this chapter, there is a lack of capability for detailed electricity demand and supply modeling. One reason for this, as pointed out in this chapter, is that such modeling requires an interdisciplinary approach and a possibility to reuse and integrate existing models. In order to solve this problem, a framework for electric vehicle modeling is presented, which provides strong capabilities for detailed electricity demand modeling. It is built on an agent-based travel demand and traffic simulation. A case study for the city of Zurich is presented, which highlights the capabilities of the framework to uncover possible bottlenecks in the electricity network and detailed fleet simulation for CO2 emission calculations, and thus its power to support policy makers in taking decisions.

Adding Electric Vehicle Modeling Capability to an Agent-Based Transport Simulation

2015 ◽  
pp. 1563-1600 ◽  
Author(s):  
Rashid A. Waraich ◽  
Gil Georges ◽  
Matthias D. Galus ◽  
Kay W. Axhausen
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Travel Demand ◽  
Interdisciplinary Approach ◽  
Electricity Demand ◽  
Policy Makers ◽  
Agent Based ◽  
Vehicle Modeling ◽  
Electricity Network ◽  
Renewable Electricity Generation

Battery-electric and plug-in hybrid-electric vehicles are envisioned by many as a way to reduce CO2 traffic emissions, support the integration of renewable electricity generation, and increase energy security. Electric vehicle modeling is an active field of research, especially with regards to assessing the impact of electric vehicles on the electricity network. However, as highlighted in this chapter, there is a lack of capability for detailed electricity demand and supply modeling. One reason for this, as pointed out in this chapter, is that such modeling requires an interdisciplinary approach and a possibility to reuse and integrate existing models. In order to solve this problem, a framework for electric vehicle modeling is presented, which provides strong capabilities for detailed electricity demand modeling. It is built on an agent-based travel demand and traffic simulation. A case study for the city of Zurich is presented, which highlights the capabilities of the framework to uncover possible bottlenecks in the electricity network and detailed fleet simulation for CO2 emission calculations, and thus its power to support policy makers in taking decisions.

scholarly journals Innovation cognizance and acceptance: The case of electric vehicles adoption in Ontario, Canada

2021 ◽  
Vol 9 (1) ◽  
pp. 51-69
Author(s):  
Ranjita Singh ◽  
Philip Walsh ◽  
Joshua Goodfield
Keyword(s):  
Internal Combustion Engine ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Government Policy ◽  
Combustion Engine ◽  
Consumer Information ◽  
Probit Regression ◽  
Policy Makers ◽  
Regression Modelling ◽  
Intent To Purchase

This study examines the results of a survey of 1,000 Canadian internal combustion engine (ICE) vehicle owners to assess factors that would encourage them to purchase an electric vehicle (EV). Further to the work of Peters and Dutschke (2014) and (Matthews et al. (2017) we combine the various drivers of EV adoption, independently identified in the literature, into one model in order to investigate their influence on the intent to purchase an EV. Through correlations and a series of probit regression modelling, we provide evidence to support additional policies that could establish greater relative advantages for owning an EV. These include the promotion of the communication of those advantages through experiential awareness initiatives such as improved access to EV test drives and consumer information. We suggest that car dealerships are important partners in this journey and their association is critical for greater diffusion of EVs in the market. Our findings have implications for EV manufacturers and government policy makers.

scholarly journals Factors Influencing the Diffusion of Battery Electric Vehicles in Urban Areas

2021 ◽  
Author(s):  
Morteza Mashayekhi
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Perceived Risk ◽  
Urban Areas ◽  
Diffusion Of Innovations ◽  
Battery Electric Vehicle ◽  
Battery Electric Vehicles ◽  
Road Map ◽  
Factors Influencing ◽  
The Impact

Purchasing a battery electric vehicle is a type of pro-environmental behavior but the impact of such behavior on the environment becomes significant and beneficial only if a large number of individuals buy it. Therefore, getting battery electric vehicles diffused in a social system is a critical task which needs a special attention from consumers as well as governments and suppliers. This thesis aims to find out all factors influencing the rate of adoption of a battery electric vehicle by using the main constructs and important concepts of theory of diffusion of innovations proposed by Rogers (1962). The results indicate that seven factors influence the rate of adoption of a battery electric vehicle including social pressure, social prestige, usefulness for environment, difficultly of use, price, perceived risk, and knowledge and information about battery electric vehicles. Based on these factors, a road map and a set of policies to accelerate the rate of adoption of battery electric vehicles were proposed.

scholarly journals Factors Influencing the Behavioural Intention towards Full Electric Vehicles: An Empirical Study in Macau

2015 ◽  
Vol 7 (9) ◽  
pp. 12564-12585 ◽  
Author(s):  
Ivan Lai ◽  
Yide Liu ◽  
Xinbo Sun ◽  
Hao Zhang ◽  
Weiwei Xu
Keyword(s):  
Empirical Study ◽  
Electric Vehicles ◽  
Behavioural Intention ◽  
Factors Influencing
Sign in / Sign up

Export Citation Format

Share Document