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.     

Impact of the driver’s visual engagement on situation awareness and takeover quality

During automated driving (SAE Level 3), drivers can delegate control of the vehicle and monitoring of the road to an automated system. They may then devote themselves to tasks other than driving and gradually lose situational awareness (SA). This could result in difficulty in regaining control of the vehicle when the automated system requires it. In this simulator study, the level of SA was manipulated through the time spent performing a non-driving task (NDRT), which alternated with phases where the driver could monitor the driving scene, prior to a critical takeover request (TOR). The SA at the time of TOR, the visual behaviour after TOR, and the takeover quality were analysed. The results showed that monitoring the road just before the TOR allowed the development of limited perception of the driving situation, which only partially compensated for the lack of a consolidated mental model of the situation. The quality of the recovery, assessed through the number of collisions, was consistent with the level of development of SA. The analysis of visual behaviour showed that engagement in the non-driving task at the time of TOR induced a form of perseverance in consulting the interface where the task was displayed, to the detriment of checking the mirrors. These results underline the importance of helping the driver to restore good SA well in advance of a TOR.     

Factors associated with self-rated health status among university students from 26 low,middle and high income countries

The aim of this study was to investigate self-reported health status and associated factors in low, middle and high income countries. Using anonymous questionnaires, data were collected in a cross-sectional survey from 19 811 undergraduate university students (mean age=20.8, SD=2.8) from 27 universities in 26 countries across Asia, Africa and the Americas. Results indicate that the overall self-rated health status score was 3.0 (range 1–5). Generally, university students from study countries of the Caribbean, South America and North Africa, Near East and Central Asia had greater self-rated health status scores than students from study countries in Asia. In multivariate stepwise linear regression analysis, older age, coming from an upper middle income or high income country, higher personal control, better mental health (not having sleep problems, and having no or fewer PTSD symptoms), and having normal weight predicted better self-rated health status. Paradoxically, a poor healthy dietary score and low physical activity were also associated with better self-rated health status. In comparing self-rated health status across a large sample of students across many countries, associations were found between sociodemographic, psycho-social and health related variables and self-rated health status.     

Les effets de la motivation sur la performance sportive au regard de la théorie de l’autodétermination : vers une approche intra-individuelle

The main purpose of the present article is to review studies in the self-determination framework (Deci & Ryan, 1985, 2008) examining the effects of athletes’ motivation on sport performance. This work consists of three different sections. First, we detail the main postulates of self-determination theory. Second, we present results of recent studies examining the influence of motivation on performance by shedding light on research with a person-centered approach at different levels of generality (Vallerand, 1997). Finally, future research directions and practical implications are proposed to enhance athletes’ sport performance. We suggest that athletes’ autonomous motivation should be increased to attain success in sport.