Journal ArticleDOI
Analysis of public acceptance of electric vehicles: An empirical study in Shanghai
TLDR
In this paper, the authors explored the potential factors that affect consumers' acceptance of EVs in Shanghai based on a questionnaire survey and found that only 18.1% of the respondents are willing to purchase EVs to replace conventional vehicles.About:
This article is published in Technological Forecasting and Social Change.The article was published on 2018-01-01. It has received 76 citations till now.read more
Citations
More filters
Journal ArticleDOI
What will China's carbon emission trading market affect with only electricity sector involvement? A CGE based study
Boqiang Lin,Zhijie Jia +1 more
TL;DR: In this article, the authors established five counter-measured scenarios based on the recently launched China's national carbon trading market and constructed a dynamic recursive Computable General Equilibrium model to study the impact of national ETS on the economy, energy and environment.
Journal ArticleDOI
A review and simple meta-analysis of factors influencing adoption of electric vehicles
TL;DR: In this paper, a review of 211 peer-reviewed research articles published between 2009 and 2019 covering the main categories consumer intentions (e.g., adoption intention, purchase intention, behavioural intention, and usage intention) were selected.
Journal ArticleDOI
Smart home: Highly-educated students' acceptance
TL;DR: In this paper, the authors explored the impact of smart home dimensions on highly-educated students, drawn from what is known as the "digital native" population, one of the key components of the smart living concept.
Journal ArticleDOI
Recycling of end-of-life vehicles: Assessing trends and performances in Europe
TL;DR: In this paper, the potential correlation among European ELV flows (in terms of generated and recycled volumes) and two key variables (Gross Domestic Product (GDP) and population) through a linear regression model was evaluated.
Journal ArticleDOI
Electric vehicle charging station with multilevel charging infrastructure and hybrid solar-battery-diesel generation incorporating comfort of drivers
Hasan Mehrjerdi,Reza Hemmati +1 more
TL;DR: In this article, a three-level charging facility including fast, medium, and slow speed chargers is incorporated and optimally designed, which optimizes the rated power of charging facilities, power and capacity of battery energy storage system, hourly operation of diesel generator, and hourly operating of battery EH system.
References
More filters
Journal ArticleDOI
Multivariate Data Analysis
TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
Journal ArticleDOI
Multivariate data analysis
TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.
Book
Exploratory and Confirmatory Factor Analysis: Understanding Concepts and Applications
TL;DR: In this paper, the authors present the important concepts required for implementing two disciplines of factor analysis -exploratory factor analysis (EFA) and confirmatory Factor Analysis (CFA) with an emphasis on EFA/CFA linkages.
Journal ArticleDOI
Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions
Ona Egbue,Suzanna Long +1 more
TL;DR: In this paper, the authors identify potential socio-technical barriers to consumer adoption of EVs and determine if sustainability issues influence consumer decision to purchase an EV, and provide valuable insights into preferences and perceptions of technology enthusiasts; individuals highly connected to technology development and better equipped to sort out the many differences between EVs and CVs.
Journal ArticleDOI
Multicollinearity and Measurement Error in Structural Equation Models: Implications for Theory Testing
TL;DR: In this article, Monte Carlo simulation experiments show that multicollinearity can cause problems under certain conditions, specifically: (1) when multic-linearity is extreme, Type II error rates are generally unacceptably high (over 80%), and sample becomes relatively large, and error rates become negligible.