There often exist behaviors of moving against the main direction of evacuation in order to rescue or find the important missing people in real situations. However, the traditional social force model (SFM) often lacks consideration of such “counter flow”. Motivated by this, we improve the traditional SFM to study the counter flow and its influence on evacuation out of multi-exit rooms. We call the person to be rescued “superior” and the rescuers “subordinate”. Two different rescue situations are proposed: superior waiting in place (case 1) and superior moving towards the exit (case 2). The results show that the counter flow will always reduce the evacuation efficiency to a certain extent, and the evacuation efficiency of case 1 is lower than that of case 2. At the same time, for these two cases, increasing the number of rescuers increases the evacuation time. We also find that the existence of counter flow can enlarge the effect of “faster-is-slower”, while increasing the number of exports can significantly improve the rescue efficiency. We hope that this result can help to improve the efficiency of emergency evacuation with rescue.
Despite the growing body of literature on the structural problems of emergency remote teaching during the COVID-19 pandemic, far too little empirical research has been conducted on university academics’ challenges in online pedagogy and what is needed to facilitate their teaching during a time of educational crisis. Thus, this study selects a high-profile Chinese language university as a case study to explore how university academics in China have dealt with the challenges of emergency remote teaching during the pandemic. This paper conducts open-ended interviews with 22 academic faculty members and adopts TPACK concepts to interpret the findings. The results demonstrate how participants find avenues to deal with emergency remote teaching, effective measures universities need to adopt, and ways to facilitate TPACK with academic faculty.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.