Behavioural intention to use fully autonomous vehicles: Instrumental,symbolic, and affective motives

Autonomous Vehicles (AVs) have the potential to transform the transportation industry with significant economic, social and environmental benefits. However, the mass deployment of AVs depends on public desire to use them. This study aims to examine the effect of instrumental, symbolic, and affective motives on the behavioural intention to use fully AVs. Based on a survey of 240 U.S. residents, a structural equation modeling analysis was performed. Our results suggest the behavioural intention to use fully AVs depends on fulfilling instrumental (i.e., performance expectancy and hedonic motivation), symbolic (i.e., personal innovativeness and social influence) and affective motives (i.e., trust and performance risk). These results have implication for designing policy interventions to increase the deployment of AVs.     

Research on parking choice behavior of shared autonomous vehicle services by measuring users’ intention of usage

Shared autonomous vehicles (SAVs) are one of the important development directions of smart and green transportation. However, relevant researches are not sufficient at present. The factors influencing the intention to use SAVs and their parking choice behaviors need to be further analyzed. First, in order to better explain, predict, and improve travelers’ intention to use SAVs, the conceptual framework based on technology acceptance model was developed to establish the relationships between the travelers’ intention to use SAVs, social influence of SAVs, attitude toward behavior of SAVs, perceived risk of SAVs, perceived usefulness of SAVs and perceived ease of these use. Then structural equation model (SEM) was established to analyze the relationship between various variables. The results show that the perceived usefulness, behavior attitude, social influence, perceived ease of use, and perceived risk are the main factors that determine the intention to use SAVs. Through the test of direct effect, indirect effect, and total effect in the model, it is found that perceived usefulness has the largest total impact on intention to use SAVs, with a standardized coefficient of 0.765, followed by behavior attitude (0.732), social influence (0.597), perceived ease of use (0.462) and perceived risk of SAVs (−0.452). In addition, through the study of observed indicator variables ATB2 and BI3, it is found that perceived usefulness, perceived ease of use, social influence, perceived risk, attitude toward behavior, and behavior intention all have an impact on parking behavior. In order to study the specific influencing factors of parking choice behavior, a multinomial logit (MNL) model was established to analyze the relationships between travelers’ parking choice behaviors and the influential factors, which include travelers’ individual characteristics, travel attributes, and parking modes’ attributes by extracting from a questionnaire. The results show that the travel time, travel fees, parking charge, cruising fees, parking time and traffic emission are the main factors that determine travelers’ choices of parking. This paper provides advice for operators of SAVs.     

社会排斥与大学生冲动性消费行为：名人崇拜的中介及自我控制的调节作用

为探讨社会排斥与冲动性消费的关系及其作用机制,本研究采用社会排斥量表、名人崇拜量表、自我控制双系统量表以及冲动性购买倾向量表,对811名大学生进行调查。结果表明：（1）在控制性别、年龄、家庭月收入和每月生活费后,社会排斥显著正向预测冲动性消费;（2）名人崇拜在社会排斥和冲动性消费间起部分中介作用;（3）自我控制在中介路径的前半段及直接路径间起调节作用。本研究有助于对大学生冲动性消费的理解和干预。     

Belief in a just world and social dominance orientation: Evidence for a mediational pathway predicting negative attitudes and discrimination against individuals with mental illness

Prejudice against individuals with mental illness stems from multiple factors, including the personality traits of those harboring the prejudiced attitudes. However, little is known about the personality processes (as opposed to static correlates) leading to negative attitudes and discrimination toward individuals with mental illness. The present research tested a mediational model in which negative attitudes against such people and resulting intentions to discriminate are distally rooted in just-world beliefs, which predispose people toward higher social dominance orientation, a well-known proximal personality predictor of general prejudice. Participants completed measures of behavioral intentions, attitudes toward individuals with mental illness, social dominance orientation, and belief in a just world. The proposed mediational model was supported, and an alternative causal model was not. These results illuminate the personality-process antecedents of attitudes toward individuals with mental illness and provide a foundation for research targeting interventions intended to reduce prejudice and discrimination against this population.     

Temporal stability of behavioural intention as a moderator of intention–health behaviour relationships

Seven prospective studies of health behaviours containing eight prospective datasets testing the moderating role of intention stability on intention–behaviour and past behaviour–behaviour relationships were examined within the context of the Theory of Planned Behaviour. The measure of intention stability was based on lack of change in intentions between the two measurement time points. Across different behaviours, samples and time frames more stable intentions were associated with intentions at time 1 that were stronger predictors of behaviour at time 2. Intention stability did not consistently moderate the past behaviour–behaviour relationship. Across studies the frequency-weighted mean correlation between intentions and behaviour was substantially greater for stable (r ₊?=?0.60) compared to unstable (r ₊?=?0.27) intentions (Z _difference?=?6.65, p?<?0.001). The past behaviour–behaviour correlation was also stronger for stable (r ₊?=?0.50, p?<?0.001) compared to unstable (r₊ ?=?0.34, p?<?0.001) intentions (Z _difference?=?3.12, p?<?0.01). Perceived behavioural control was the variable most strongly related to stable intentions. Implications for understanding the role of health cognitions in the performance of health behaviour are discussed.     

Habit as moderator of the intention–physical activity relationship in older adults: a longitudinal study

This longitudinal study examined whether habit strength moderates the intention–physical activity (PA) relationship in older adults, within the framework of the attitude–social influences–efficacy (ASE) model and the theory of planned behaviour (TPB). A total of 1836 older adults (M _age?=?62.95?years, SD _age?=?8.17) completed a questionnaire on social cognitive constructs and PA habit strength at baseline, and six?months later a measure of PA. Three PA habit groups (i.e. low, medium and high) were composed, based on tertiles of the mean index score. Multi-group structural equation modelling analyses showed that intention significantly determined PA behaviour only in participants with a low or medium habit strength towards PA. This result suggests that PA is not intentional at high levels of habit strength and demonstrates the usefulness of incorporating habit in the ASE and TPB models. Results also showed that about half of the participants with a strong PA habit did not meet the recommended PA level. As strong habits may prevent intentional behavioural change and may hinder the receptiveness and openness for informational PA change strategies, additional intervention strategies, such as awareness raising and the use of implementation intentions, are needed for strongly habitual, but insufficiently active older adults.     

The role of action and coping planning in the relationship between intention and physical activity: A moderated mediation analysis

Objective: Using a moderated mediation model, the present study investigated whether the mediation of intention into physical activity (PA) behaviour via action planning depends on the level of coping planning.

Method: A four-month prospective study was conducted among 157 French adults, who were recruited through a web-based survey. They were administrated measures of behavioural intention and sociodemographic variables at baseline and action and coping planning and PA four months later.

Results: Action planning partially mediated the contribution of intention on PA level. However, this indirect effect was conditional on the level of coping planning, insofar as action planning acted as a mediator of the intention–PA relationship only for individuals with high level of coping planning.

Conclusion: The results highlight the complexity of the relationship between intention and behaviour and provide evidence for the distinct role of both forms of planning.     

How well do the theory of reasoned action and theory of planned behaviour predict intentions and attendance at screening programmes? A meta-analysis

Meta-analysis was used to quantify how well the Theories of Reasoned Action and Planned Behaviour have predicted intentions to attend screening programmes and actual attendance behaviour. Systematic literature searches identified 33 studies that were included in the review. Across the studies as a whole, attitudes had a large-sized relationship with intention, while subjective norms and perceived behavioural control (PBC) possessed medium-sized relationships with intention. Intention had a medium-sized relationship with attendance, whereas the PBC–attendance relationship was small sized. Due to heterogeneity in results between studies, moderator analyses were conducted. The moderator variables were (a) type of screening test, (b) location of recruitment, (c) screening cost and (d) invitation to screen. All moderators affected theory of planned behaviour relationships. Suggestions for future research emerging from these results include targeting attitudes to promote intention to screen, a greater use of implementation intentions in screening information and examining the credibility of different screening providers.     

Conscientiousness and adherence to the oral contraceptive pill: A prospective study

Objective: We assess the association between conscientiousness and adherence to the oral contraceptive pill (OCP), and examine if such a relationship is independent of a measure of prospective memory and a range of social cognitive variables.

Method: Data were collected from 150 OCP users at baseline, and 99 provided follow-up data four weeks later. Conscientiousness, a range of social cognitive predictors and prospective memory were assessed at baseline. OCP adherence was measured at baseline, and again at Time 2. Data were analysed using correlation and multiple linear regression.

Results: Higher conscientiousness was associated with higher overall OCP adherence in both cross-sectional (r = ?0.28, p < 0.01) and prospective analysis (r = ?0.34, p < 0.01). Conscientiousness predicted OCP adherence at Time 2, adjusting for OCP adherence at Time 1 (R² change = 0.02, p = 0.04). The association was reduced to non-significance when social cognitive predictors and prospective memory were included in the multivariable model. Prospective memory was an independent predictor of OCP adherence at Time 2.

Discussion: This is the first study to identify an association between conscientiousness and OCP adherence. The association is not independent from social cognitive predictors and prospective memory. Facet-level analysis of conscientiousness and formal mediation analyses are recommended in future replications.     

Intention versus identification as determinants of adolescents’ health behaviours: evidence and correlates

The present study used a within-participants design to (a) assess the predictive validity of prototype identification versus intention for adolescents’ health behaviours and (b) examine whether control of health behaviour by intention relative to identification is associated with key individual difference variables. Participants were school children (N = 136) who completed measures of intention, perceived behavioural control and prototype identification for 14 health-related behaviours at Time 1, and reported their behaviour 2 weeks later (Time 2). A hierarchical regression showed that prototype identification and intention exhibited similar predictive validity in the prediction of adolescents’ health behaviour. Importantly, identification contributed an additional 6% to the variance in behaviour, after controlling for intention and perceived behavioural control from the theory of planned behaviour [TPB: Ajzen, I. (1991 Ajzen, I. 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50: 179–211. [Crossref], [Web of Science ®] , [Google Scholar]). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.]. Additional analyses showed that greater social comparison tendencies, lower agreeableness, greater intellect and less emotional stability were all related to greater control of behaviour by prototype identification. The theoretical and practical implications of these findings are discussed.