scholarly journals Determining the Factors That Influence Electric Vehicle Adoption: A Stated Preference Survey Study in Beijing, China

2021 ◽  
Vol 13 (21) ◽  
pp. 11719
Author(s):  
Ziwen Ling ◽  
Christopher R. Cherry ◽  
Yi Wen
Keyword(s):  
Electric Vehicles ◽  
Low Income ◽  
Stated Preference ◽  
Survey Study ◽  
Purchase Behavior ◽  
Driver's License ◽  
Electric Vehicle Adoption ◽  
Vehicle Purchase ◽  
Purchase Likelihood ◽  
Beijing China

The transition from conventional vehicles (CVs) to electric vehicles (EVs) could be promising in tackling environmental challenges in China. Using a sample of 1216 respondents in Beijing, China, our study intends to understand the underlying factors that drive the decision to purchase an EV among potential Chinese vehicle purchasers. We built two choice models to estimate vehicle purchase behavior and fuel choice. We found that males and having higher household income are associated with greater intention to purchase EVs (both plug-in and battery electric vehicles). However, a previous inclination to choose CV negatively impacted willingness to buy EVs. Between specific EV types, we found that Plug-in Hybrid EV (PHEV) purchase was negatively associated with plans to obtain a driver’s license within three years and longer durations of having owned a motorized vehicle first. Yet, the number of electric bicycles in the household was positively associated with PHEV-purchase likelihood. For Battery EVs (BEV), we found that respondents who had previous experience with an EV (either as a driver or passenger) were more likely to purchase a BEV while existing ownership of a driver’s license and a higher purchase budget reduced such possibility. Based on our findings, we recommend authorities continue to, or increasingly, provide direct monetary incentives to purchase EVs, and to provide EV driving and riding experience to customers, especially who are in the middle- and low-income vehicle purchasing groups, to improve the Chinese EV market relative to CVs.

scholarly journals Investigating the Influence of Consumer Behavior and Governmental Policy on the Diffusion of Electric Vehicles in Beijing, China

2019 ◽  
Vol 11 (24) ◽  
pp. 6967 ◽  
Author(s):  
Ye Yang ◽  
Zhongfu Tan
Keyword(s):  
Electric Vehicles ◽  
Purchase Behavior ◽  
License Plate ◽  
Whole Process ◽  
Charging Time ◽  
Usage Evaluation ◽  
The Government ◽  
Vehicle Purchase ◽  
Set Up ◽  
Beijing China

The adoption behavior of electric vehicles (EVs) has received considerable attention. However, the whole process of purchase behavior has not been well understood. In response, this paper investigates the uptake of EVs in Beijing, China, with a focus on the whole process of purchasing an EV, as well as the relevant policies. Specifically, the classical Howard–Sheth theory is used to the analyze the whole process of EV purchasing, which is divided into four stages here, namely, “Ignored and Neglected”, “Proactive Attention”, “Comparison and Selection of Vehicles” and “Usage Evaluation”. Furthermore, several “what-if” scenarios are set up to quantify the influence of some typical EV-related polices, including the license plate lottery policy and no traffic constriction on battery electric vehicles (BEVs). The results suggest: (1) 63.4% of BEV owners have rigid travel demands with cars; (2) BEVs with a driving range of 500 km, 30-minutes charging time and price of RMB 15,000 are the first choices for the majority of people; (3) 64% of BEV owners are influenced by positive comments from the users around them in the adoption of EVs; (4) the no traffic constriction on BEVs tends to be more influential than the license plate lottery policy in terms of the numbers of applications for the vehicle purchase permits and BEV purchasers, as well as energy saving and vehicular emission reduction. These findings should be helpful for different EV-related stakeholders, such as the government, to shape their policies and promote the development of EVs.

Empathy not quarantined: Association between people’s empathy to others and the COVID-19 pandemic situations based on a national survey study (Preprint)

2020 ◽  
Author(s):  
Zhibin Jiang ◽  
Fan Yang ◽  
Bu Zhong ◽  
Xuebing Qin
Keyword(s):  
Social Support ◽  
Social Media ◽  
National Survey ◽  
Low Income ◽  
Rural Areas ◽  
Critical Role ◽  
Affective Response ◽  
Survey Study ◽  
Income Levels ◽  
The Social

BACKGROUND The Covid-19 pandemic had turned the world upside down, but not much is known about how people’s empathy might be affected by the pandemic. OBJECTIVE This study examined 1) how empathy towards others might be influenced by the social support people obtained by using social media; and 2) how the individual demographics (e.g., age, income) may affect empathy. METHODS A national survey (N = 943) was conducted in China in February 2020, in which the participants read three real scenarios about low-income urban workers (Scenario I), small business owners in cities (Scenario II), and farmers in rural areas (Scenario III) who underwent hardship due to COVID-19. After exposure to others’ difficulties in the scenarios, the participants’ empathy and anxiety levels were measured. We also measured the social support they had by using social media. RESULTS Results show that social support not only positively impacted empathy, β = .30, P < .001 for Scenario I, β = .30, P < .001 for Scenario II, and β = .29, P < .001 for Scenario III, but also interacted with anxiety in influencing the degree to which participants could maintain empathy towards others, β = .08, P = .010 for Scenario I, and β = .07, P = .033 for scenario II. Age negatively predicted empathy for Scenario I, β = -.08, P = .018 and Scenario III, β = -.08, P = .009, but not for Scenario II, β = -.03, P = .40. Income levels – low, medium, high – positively predicted empathy for Scenario III, F (2, 940) = 8.10, P < .001, but not for Scenario I, F (2, 940) = 2.14, P = .12, or Scenario II, F (2, 940) = 2.93, P = .06. Participants living in big cities expressed greater empathy towards others for Scenario III, F (2, 940) = 4.03, P =.018, but not for Scenario I, F (2, 940) = .81, P = .45, or Scenario II, F (2, 940) = 1.46, P =.23. CONCLUSIONS This study contributes to the literature by discovering the critical role empathy plays in people’s affective response to others during the pandemic. Anxiety did not decrease empathy. However, those gaining more social support on social media showed more empathy for others. Those who resided in cities with higher income levels were more empathetic during the COVID-19 outbreak. This study reveals that the social support people obtained helped maintain empathy to others, making them resilient in challenging times.

Neurosurgical Wrong Surgical Site in Lower-Middle- or Low-Income Countries (LMICs): A Survey Study

2021 ◽  
Author(s):  
Nasser M.F. El-Ghandour ◽  
Alexander O. Aguirre ◽  
Atul Goel ◽  
Haitham Kandeel ◽  
Taher M. Ali ◽  
...  
Keyword(s):  
Low Income ◽  
Survey Study ◽  
Low Income Countries

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

2021 ◽  
Vol 13 (14) ◽  
pp. 7725
Author(s):  
Reema Bera ◽  
Bhargab Maitra
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Stated Preference ◽  
Mixed Logit ◽  
Road Transport ◽  
Home Based ◽  
Urban India ◽  
Choice Decision ◽  
The Mean ◽  
Hybrid Electric

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.

scholarly journals Agent-Based Modeling Framework for Electric Vehicle Adoption Transition in Indonesia

2021 ◽  
Vol 12 (2) ◽  
pp. 73
Author(s):  
Dita Novizayanti ◽  
Eko Agus Prasetio ◽  
Manahan Siallagan ◽  
Sigit Puji Santosa
Keyword(s):  
Electric Vehicles ◽  
Data Analytics ◽  
Agent Based Modeling ◽  
Analysis Framework ◽  
Modeling Framework ◽  
Agent Based ◽  
Twitter Data ◽  
Decision Making Processes ◽  
Electric Vehicle Adoption ◽  
Technical Features

Currently, the adoption of electric vehicles (EV) draws much attention, as the environmental issue of reducing carbon emission is increasing worldwide. However, different countries face different challenges during this transition, particularly developing countries. This research aims to create a framework for the transition to EV in Indonesia through Agent-Based Modeling (ABM). The framework is used as the conceptual design for ABM to investigate the effect of agents’ decision-making processes at the microlevel into the number of adopted EV at the macrolevel. The cluster analysis is equipped to determine the agents’ characteristics based on the categories of the innovation adopters. There are 11 significant variables and four respondents’ clusters: innovators, early majority, late majority, and the uncategorized one. Moreover, Twitter data analytics are utilized to investigate the information engagement coefficient based on the agents’ location. The agents’ characteristics which emerged from this analysis framework will be used as the fundamental for investigating the effect of agents’ specific characteristics and their interaction through ABM for further research. It is expected that this framework will enable the discovery of which incentive scheme or critical technical features effectively increase the uptake of EV according to the agents’ specific characteristics.

scholarly journals What are the expectations of parents from preschool education institutions: Why do they choose? What are they waiting for?

2021 ◽  
Vol 11 (1) ◽  
pp. 108-123
Author(s):  
Sibel Yoleri
Keyword(s):  
Teacher Education ◽  
Low Income ◽  
Preschool Education ◽  
Education Institution ◽  
School Policy ◽  
Survey Study ◽  
Test Results ◽  
Income Levels ◽  
Income Status ◽  
Significant Difference

The goal of this study was to investigate the expectations of the parents with a child enrolled at a preschool education institution from preschool education institutions. This research was designed as a survey study. The sample of this study consisted of 326 children, enrolled at preschool education institutions in the center of Usak province, and their parents. "Parents' Expectations from Preschool Institutions Questionnaire" developed by Simsek and Ivrendi (2014), and "Demographics Information Form" were used as data collection tools to determine the expectations of parents from preschool education institutions. It was concluded as a result of the study that the parents had a "low level" expectation related to the sub-scales of (teacher, education-family, school policy, informing) of the Parents' Expectations from Preschool Institutions Questionnaire. A significant difference in favor of males was found out in the informing sub-scale according to the t-test results carried out related to parents' expectations in line with the gender of children. The expectations of parents from preschool institutions showed a significant difference according to income status. It was found out that the expectations of families with low income level from preschool institutions were higher compared to the expectations of families with middle- and high-income levels regarding the sub-scales of teacher and education-family.

5968Adherence to driving restrictions among patients with an implantable cardioverter defibrillator: insights from a nationwide register-linked survey study

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
J Bjerre ◽  
S M Rosenkranz ◽  
M Schou ◽  
C Jons ◽  
B T Philbert ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Primary Prevention ◽  
Secondary Prevention ◽  
Implantable Cardioverter Defibrillator ◽  
Survey Study ◽  
Icd Implantation ◽  
Cardioverter Defibrillator ◽  
Driving Restrictions ◽  
Driver's License ◽  
Icd Shock

Abstract Background Patients with an implantable cardioverter defibrillator (ICD) are restricted from driving following initial implantation or ICD shock. It is unclear how many patients are aware of, and adhere to, these restrictions. Purpose To investigate knowledge of, and adherence to, private and professional driving restrictions in a nationwide cohort of ICD patients. Methods A questionnaire was distributed to all living Danish residents ≥18 years who received a first-time ICD between 2013 and 2016 (n=3,913). During this period, Danish guidelines recommended 1 week driving restriction following ICD implantation for primary prevention, and 3 months following either ICD implantation for secondary prevention or appropriate ICD shock, and permanent restriction of professional driving and driving of large vehicles (>3.5 metric tons). Questionnaires were linked with relevant nationwide registries. Logistic regression was applied to identify factors associated with non-adherence. Results Of 2,741 questionnaire respondents, 92% (n=2,513) held a valid private driver's license at time of ICD implantation (85% male; 46% primary prevention indication; median age: 67 years (IQR: 59–73)). Of these, 7% (n=175) were actively using a professional driver's license for truck driving (n=73), bus driving (n=45), taxi driving (n=22), large vehicle driving for private use (n=54), or other purposes (n=32) (multiple purposes allowed). Only 42% of primary prevention patients, 63% of secondary prevention patients, and 72% of patients who experienced an appropriate ICD shock, recalled being informed of any driving restrictions. Only 45% of professional drivers recalled being informed about specific professional driving restrictions (Figure). Most patients (93%, n=2,344) resumed private driving after ICD implantation, more than 30% during the driving restriction period: 34% of primary prevention patients resumed driving within 1 week, 43% of secondary prevention patients resumed driving within 3 months, and 30% of patients who experienced an appropriate ICD shock resumed driving within 3 months. Professional driving was resumed by 35%. Patients who resumed driving within the restricted periods were less likely to report having received information about driving restrictions (all p<0.001) (Figure). In a multiple logistic regression model, non-adherence was predicted by reporting non-receipt of information about driving restrictions (OR: 3.34, CI: 2.27–4.03), as well as male sex (OR: 1.53, CI: 1.17–2.01), age ≥60 years (OR: 1.20, CI: 1.02–1.64), receipt of a secondary prevention ICD (OR: 2.2, CI: 1.80–2.62), and being the only driver in the household (OR: 1.29, CI: 1.05–1.57). Conclusion In this nationwide survey study, many ICD patients were unaware of the driving restrictions, and many ICD patients, including professional drivers, resumed driving within the restricted periods. More focus on communicating driving restrictions might improve adherence. Acknowledgement/Funding Danish Heart Foundation, Arvid Nilsson Foundation, Fraenkels Mindefond

scholarly journals Main Drivers of Battery Industry Changes: Electric Vehicles—A Market Overview

Batteries ◽  
2018 ◽  
Vol 4 (4) ◽  
pp. 65 ◽  
Author(s):  
Dmitry Pelegov ◽  
José Pontes
Keyword(s):  
Electric Vehicle ◽  
Transport System ◽  
Electric Vehicles ◽  
Research Society ◽  
Electric Cars ◽  
Environmental Friendly ◽  
Simple Estimation ◽  
Electric Vehicle Adoption ◽  
Battery Industry

The growing popularity of electric vehicles is one of the main drivers of battery industry transformation. Words like “transport system decarbonization”, “electromobility”, and “environmental-friendly society” are very popular today, but questions remain as to how to measure electric vehicles’ adoption progress and how this transition changes the battery industry. This perspective paper provides a review of the electric cars and buses market, estimates the production volumes of some other electric vehicle types, and discusses the role of traction batteries in the global battery market. A simple estimation of the sales rate allows us to evaluate the prospects of electric vehicle adoption in leading countries. Finally, the application of the main battery chemistries is reviewed and topical issues to the research society are addressed and formulated.

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