Factors Influencing the Purchase Intention of Autonomous Cars

Topolšek, Darja; Babić, Dario; Babić, Darko; Ojsteršek, Tina Cvahte

doi:10.3390/su122410303

Cited by 15 publications

(7 citation statements)

References 51 publications

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“…According to the Chinese seventh census data released in 2021, people aged 60 and above account for 18.7% of the total population, and those aged 65 and above account for 13.5% of the total population [79]. However, there is a significant difference between the older and younger generations in their attitude towards emerging scientific and technological products [80]. Therefore, the data of this study may not fully reflect the attitude and opinion of the older generation towards the residential photovoltaic system.…”

Section: Discussionmentioning

confidence: 99%

Influence of Residential Photovoltaic Promotion Policy on Installation Intention in Typical Regions of China

Wang

Peng

et al. 2022

Sustainability

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Increasing the popularity of distributed photovoltaic technology among Chinese residents is of great significance to achieve the dual carbon goal (emission peak and carbon neutrality). In this study, we collected 1424 questionnaire samples and used PLS-SEM for group modeling and comparative analysis of bungalow and building residents. The results show that living conditions, costs, risks of installation, maintenance, and economic efficiency are the five significant influencing factors for residents to decide whether to install a distributed residential photovoltaic equipment. Compared with building residents, bungalow residents tend to feel more concerned about the cost and risk of residential photovoltaic equipment during installation, maintenance, and use. On the other hand, bungalow residents show greater sensitivity to the corresponding photovoltaic promotion policies. By contrast, building residents pay more attention to the direct benefit created by the installation of residential photovoltaic equipment. Therefore, adopting the strategy from bungalow residents to building residents could help promote the distributed photovoltaic system progressively. As for the subsidy decline, more attention shall be paid to the progress of a gradual reduction of the subsidies. It is advisable to pay attention to integrating the upstream and downstream industry chains of the distributed photovoltaic systems, thus reducing the concern of residents about the difficulty in installing, maintaining, and protecting the distributed photovoltaic equipment. By clarifying the different impacts of promotion policies on the demand side, this study provides a practical reference for the further adjustment made to distributed photovoltaic promotion policies.

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Section: Discussionmentioning

confidence: 99%

Influence of Residential Photovoltaic Promotion Policy on Installation Intention in Typical Regions of China

Wang

Peng

et al. 2022

Sustainability

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“…Initially, safety is the most serious consideration [2,3]. According to the research on the influencing factors of consumers' purchase intention to ACs which held by Topolšek et al in 2020 demonstrated that in addition to the factors related to the automobile product itself, the characteristics of consumers themselves, such as age and education level, will also affect the purchase intention [4]. Secondly, Barry in 2017 found that there was also a significant connection existing between social influence and purchase intention when a product was used publicly [5].…”

Section: Influencing Factor For Purchase Intentionmentioning

confidence: 99%

The Influential Factors on the Total Revenue of Autonomous Cars Using Multiple Regression Model

Peng¹,

Wei²,

Yu³

2023

Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022

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Since the development of new energy and autonomous cars in the domestic market has attracted the attention of a huge number of consumers. This article conducted a quantitative analysis of consumers' intention to purchase such models to analyze the impact on total sales revenues. Through the questionnaire, this research held multi-faced interviews with 150 participants to collect data. The multiple regression model is established to analyze the factors that affect consumers' purchase intention and how they lead to the decrease in total revenue. The collection feedback demonstrates that those factors could be divided into three categories: environmental performance (environmental sustainability), perceived risk, and perceived benefit. This research found that perceived benefits, such as environmental performance and the satisfaction of brand awareness of ACs, positively affect consumers' purchase intention, which is consistent with hypotheses. The online promotion also has a moderately positive effect on consumers' purchase intention. Besides, consumers' characteristics affect their purchase behavior as well. People with higher education are less inclined to buy an autonomous car. As for limitation, firstly, it is about sample size. The sample size is not big enough, and it cannot comprehensively forecast the intention. The questionnaires' geographical distribution is uneven. These have a big influence on this study, and this research can not reflect all the customers' intentions in different provinces of China.

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“…In addition to ethics, it is important to address the contradiction between public and individual needs in automated vehicle decisions. Current studies have shown that factors such as age, gender, education, national culture, anxiety, vehicle safety, and traffic accident rates influence AVs decision-making [ 20 , 21 ]. In order to obtain public ideas, Edmond et al [ 22 ] designed an online moral machine experiment platform that collected 40 million decision outcomes from millions of people in 233 countries and regions.…”

Section: Literature Reviewmentioning

confidence: 99%

A Study of Common Principles for Decision-Making in Moral Dilemmas for Autonomous Vehicles

Zhang

Wang

et al. 2022

Behavioral Sciences

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How decisions are made when autonomous vehicles (AVs) are faced with moral dilemmas is still a challenge. For this problem, this paper proposed the concept of common principles, which were drawn from the general public choice and could be generally accepted by society. This study established five moral dilemma scenarios with variables including the number of sacrifices, passenger status, presence of children, decision-making power subjects, and laws. Based on existing questionnaire data, we used gray correlation analysis to analyze the influence of the individual and psychological factors of participants in decision-making. Then, an independent sample t-test and analysis of covariance were selected to analyze the influence relationship between individual and psychological factors. Finally, by induction statistics of decision choices and related parameters of participants, we obtain common principles of autonomous vehicles, including the principle of protecting law-abiding people, the principle of protecting the majority, and the principle of protecting children. The principles have different priorities in different scenarios and can meet the complex changes in moral dilemmas. This study can alleviate the contradiction between utilitarianism and deontology, the conflict between public needs and individualized needs, and it can provide a code of conduct for ethical decision-making in future autonomous vehicles.

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Factors Influencing the Purchase Intention of Autonomous Cars

Cited by 15 publications

References 51 publications

Influence of Residential Photovoltaic Promotion Policy on Installation Intention in Typical Regions of China

Influence of Residential Photovoltaic Promotion Policy on Installation Intention in Typical Regions of China

The Influential Factors on the Total Revenue of Autonomous Cars Using Multiple Regression Model

A Study of Common Principles for Decision-Making in Moral Dilemmas for Autonomous Vehicles

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