Promoting energy-saving behavior among college students in dormitories is conducive to improving the energy efficiency of college buildings. As students in the same dormitory need to share the energy-using equipment and expenses, they will inevitably influence each other by their energy-use behaviors, and this interaction process will gradually reach a certain stable state with the passing of the time spent with roommates. However, the existing research on the influencing factors of energy-use behaviors often focuses on individual subjective characteristics while overlooking the influence of group and time factors. Therefore, this paper incorporates interpersonal relationship and group identity into the theory of planned behavior, and considers the time spent with roommates as the moderating variable to build a model of factors influencing college students’ energy-use behaviors in their dormitories. Empirical data were collected by a questionnaire survey with 768 respondents, and generalized ordered logit regression was used to analyze the research model. The results reveal that the factors that influence students’ energy-use behaviors will change with the time spent with roommates. When the time spent with roommates is 0–1 year, interpersonal relationships, group identity, comfort, individual norms, and environmental concerns are significant influences. When the time spent with roommates is 1–2 years, environmental concerns will no longer have an effect; however, energy-use costs and energy-use habits will be added. When the time spent with roommates is 2–3 years, interpersonal relationships, individual norms, group identity, and energy-use costs will no longer have any influence, but subjective norm will be added.

How can command-and-control instruments (CACs) influence consumers’ adoption of energy consumption monitoring technology (ECMT) in public buildings? We attempt to answer this question in an extended theory of planned behaviour in which CACs and energy-saving awareness (ESA) are introduced. Empirical data are collected by a questionnaire survey with 298 respondents, and structural equation modelling (SEM) is used to analyse the research model. The results indicate that ESA has a direct impact on consumers’ adoption of ECMT. The CACs have no direct effect on consumers’ adoption of ECMT but can indirectly affect consumers’ adoption of ECMT through three paths: CAC → ATT (attitudes) → BI (behavioural intention), CAC → ESA → BI and CAC → SN (subjective norm) → BI. Finally, suggestions are proposed, such as optimising the selection and combination of policy instruments, promoting the operation manager’s attitude towards ECMT to a more positive orientation, improving the ESA of the operation manager and providing more support for and pressure on the operation manager who has not adopted ECMT.

In this paper, we present an algorithm for synthesizing the trajectory of falling leaf which can be used to produce stylized and expressive falling leaves animation. In this algorithm, the movement of falling leaves is divided into the macro-and micro-movement at two levels. The macro-movement can describe the falling leaves' movement trend and the micro-movement is in charge of expressing the movement details. For most animators, it is relatively easier to describe the falling leaves movement trend. However, if the animator hopes demonstrate the falling movement with artistic effect, it would take him an amount of time to enrich the movement details. This algorithm allows the animator draft manually the movement trend of falling leaf according to the development and scene required in the story firstly, then extracts the movement details from the examples in order to synthesize a new movement trajectory. This movement trajectory will not only suit for the plot, but also have some similar movement details with the classic traditional animations. This method can realize the reuse of movement trajectory and style from classical animations. Furthermore, it improve the efficiency of production to a certain extend.