Improving Safety Service Patrol Performance

Safety Service Patrols (SSPs) provide motorists with assistance free of charge on most freeways and some key primary roads in Virginia. This research project is focused on developing a tool to help the Virginia Department of Transportation (VDOT) optimize SSP routes and schedules (hereafter called SSP-OPT). The computational tool, SSP-OPT, takes readily available data (e.g., corridor and segment lengths, turnaround points, average annual daily traffic) and outputs potential SSP configurations that meet the desired criteria and produce the best possible performance metrics for a given corridor. At a high level, the main components of the developed tool include capabilities to: a) generate alternative feasible SSP beat configurations for a corridor; b)predict incidents and SSP characteristics (e.g., incident frequency, SSP service time) for a given SSP beat configuration; c) estimate performance measures (e.g., SSP response time, number of incidents responded to); and d) identify and present the best SSP configuration(s) through visual aids that facilitate decision making. To generate the incident data needed for the simulation-based SSP-OPT tool, a hierarchical negative binomial model and a hierarchical Weibull model are developed for incident frequencies and incident durations, respectively, based on the historical incident data. These models have been found to be effective in simulating the spatiotemporal distribution of incidents along highway corridors and for generating their attribute data (e.g., incident type, duration). The simulation program employs a discrete event-based approach and requires a few calibration parameters (e.g., SSP vehicle speed). After calibrating the model, the validation results show good agreement with field observations when applied to a sample SSP corridor from I-95. A user interface is created for the SSP-OPT tool in MS Excel to facilitate data entry and visualization of the output metrics for a given corridor. The output includes the list of alternative feasible beat configurations and aggregated performance measures from multiple runs for each individual beat, as well as for each alternative beat configuration spanning the entire corridor. The proposed SSP optimization model could be applied to corridors with or without existing SSP service. The tool will help identify the best beat configurations to minimize SSP response times and maximize SSP response rates for a given number of SSP vehicles on a corridor. Implementing these optimal solutions in the field will result in travel time savings and improve highway safety since the SSP resources will be more efficiently utilized, thus reducing the impacts of incidents on traffic flow

Prevalence of Depression and Anxiety Symptoms of High School Students in Shandong Province During the COVID-19 Epidemic

© Copyright © 2020 Zhang, Zhai, Yang, Zhang, Zhou, Yang, Duan and Zhou. Background: The coronavirus disease 2019 (covid-19) has brought physical risks as well as psychological challenges to the whole world. High school students are a special group suffering from both the academic pressure and the threat of the epidemic. The present study aims to conduct an online survey to investigate the psychological status of high school students in Shandong Province. Methods: Using a web-based cross-sectional survey, data was collected from 1,018 voluntary high school students assessed with demographic information, the Patient Health Questionnaire-9 (PHQ-9), the Generalized Anxiety Disorder-7 (GAD-7) and a self-designed online-study effect survey. Correlation analysis was performed to explore the relationships between depression symptoms, anxiety symptoms, and study effect. Result: The prevalence of depressive symptoms, anxiety symptoms, and a combination of depressive and anxiety symptoms was 52.4, 31.4, and 26.8%, respectively, among high school students in Shandong Province during the COVID-19 epidemic. And from moderate to severe severity level, the rates of depressive symptoms and anxious symptoms were 17.6 and 4.6%. Female students exhibited a higher rate and severity of mental symptoms than male, and grade one senior high school students got a higher rate and severity of mental symptoms than the other two grades. Nearly half of the students were not satisfied with their online-study effect. The PHQ-9 score had a strong positive correlation with the GAD-7 score. Both the PHQ-9 score the GAD-7 score had a negative correlation with the study-effect survey score. Conclusion: Quite a number of high school students suffered from depression and anxiety symptoms during the COVID-19 epidemic. Sufficient attentions should be paid, and necessary supports should be provided, to protect the mental health of this special group

Improving Safety Service Patrol Performance

119789Safety Service Patrols (SSPs) provide motorists with assistance free of charge on most freeways and some key primary roads in Virginia. This research project is focused on developing a tool to help the Virginia Department of Transportation (VDOT) optimize SSP routes and schedules (hereafter called SSP-OPT). The computational tool, SSP-OPT, takes readily available data (e.g., corridor and segment lengths, turnaround points, average annual daily traffic) and outputs potential SSP configurations that meet the desired criteria and produce the best possible performance metrics for a given corridor. At a high level, the main components of the developed tool include capabilities to: a) generate alternative feasible SSP beat configurations for a corridor; b)predict incidents and SSP characteristics (e.g., incident frequency, SSP service time) for a given SSP beat configuration; c) estimate performance measures (e.g., SSP response time, number of incidents responded to); and d) identify and present the best SSP configuration(s) through visual aids that facilitate decision making. To generate the incident data needed for the simulation-based SSP-OPT tool, a hierarchical negative binomial model and a hierarchical Weibull model are developed for incident frequencies and incident durations, respectively, based on the historical incident data. These models have been found to be effective in simulating the spatiotemporal distribution of incidents along highway corridors and for generating their attribute data (e.g., incident type, duration). The simulation program employs a discrete event-based approach and requires a few calibration parameters (e.g., SSP vehicle speed). After calibrating the model, the validation results show good agreement with field observations when applied to a sample SSP corridor from I-95. A user interface is created for the SSP-OPT tool in MS Excel to facilitate data entry and visualization of the output metrics for a given corridor. The output includes the list of alternative feasible beat configurations and aggregated performance measures from multiple runs for each individual beat, as well as for each alternative beat configuration spanning the entire corridor. The proposed SSP optimization model could be applied to corridors with or without existing SSP service. The tool will help identify the best beat configurations to minimize SSP response times and maximize SSP response rates for a given number of SSP vehicles on a corridor. Implementing these optimal solutions in the field will result in travel time savings and improve highway safety since the SSP resources will be more efficiently utilized, thus reducing the impacts of incidents on traffic flow

Children and young people's perspectives on and experiences of COVID-19 in global contexts

This special issue was proposed by Children & Society editors specifically for the journal's strategic aims to enhance its internationalisation; and to embrace children's perspectives and experiences in producing knowledge about childhoods in challenging times and underrepresented contexts (Berriman et al., 2021). The COVID-19 pandemic is such an ongoing challenge and has profoundly affected the daily lives of children around the globe (Cowie & Myers, 2021). Lockdowns, social distancing, and quarantine increase children's anxiety and stress and reduce access to vital family members, friends, and care services. The COVID-19 pandemic re-sets the boundaries and spaces of formal education, by bringing it directly into homes across the globe and shifting the family involvement in children's education and care. In addition to social, developmental and mental health issues caused to children due to lockdowns and constraints with learning (Cowie & Myers, 2021), there is a high proportion of children worldwide who live in difficult circumstances and experience issues such as poverty, lack of food, water, sanitation or hygiene, domestic violence and abuse, special needs, conflicts and those who are refugees and migrants (UNICEF, 2020). They may have already been in those disadvantaged situations, and the COVID-19 pandemic unfortunately has worsened the circumstances for them

Me, my child and Covid-19: Parents’ reflections on their child’s experiences of lockdown in the UK and China

Over the past two years, the world has been living through the unprecedented Covid-19 pandemic. Children have had to adapt to online classrooms and lessons of some sort, and many parents have been forced to work from home whilst supervising their child’s home learning activities. We used participatory visual methods to understand how children and their parents have coped during this time, engaging parents as co-researchers to ask their child to photograph and/or draw pictures that represent their daily lived experiences over the lockdown period. We then asked parents to interview their children (24 in total, 13 in the UK and 11 in China) using children’s artwork as prompts, and finally we interviewed parents. Through the data collection process, parents captured their children’s experiences and feelings since the coronavirus struck. The data was analysed using Foucault’s theory of discourse to provide unique and comparative insights into children’s experiences in the UK and China during this exceptional time. Ours is the first study to integrate parents’ and children’s views of Covid-19, drawing on parents as co-researchers. We argue here that the combination of the data collection methods used and drawing on parents as co-researchers enabled parents to gain insights into an understanding of their child’s lived experiences throughout the pandemic that might otherwise have been unknown. These insights were often unexpected for parents, and have been grouped around themes of parental relief, anxiety and understanding

How do students’roles in collaborative learning affect collaborative problem-solving competency? A systematic review of research

Collaborative problem-solving (CPS) has significantly affected people’s working patterns and lifestyles and has become a critical competency in economies and society. CPS competency is widely recognised as an essential skill in the 21st century and has been extensively considered in teaching and learning practices. Although various factors influencing CPS have been identified, the effect of group work on students’ CPS competency is still to be determined. In this study, we systematically reviewed the published literature from 2013 to 2022 and explored the association between students’ roles in group work and the development of CPS in the learning process. We analysed 36 relevant empirical studies using the developed framework. The factors influencing group dynamics and performance, including students’ backgrounds, subjects, collaborative learning modes, role types, and CPS dimensions, were coded and analysed. We found that a student’s role (scripted vs. emergent) was fluid and subject to change during group work, contributing to CPS development (social vs. cognitive process skills). We also found that this effect was conditioned/mediated by student characteristics, learning contexts, and teacher support. Teachers can, therefore, promote students’ CPS development by monitoring the roles performed throughout group tasks and providing guidance specific to students’ roles in their learning

Children and structured holiday camping: processes and perceived outcomes

Holiday camping and time spent in outdoor environments are critical childhood experiences. This study aims to identify the outcomes and processes underlying children's experiences of holiday camping. The researchers use the contextual model of learning as the theoretical background underpinning the study. Chinese children who left their families and participated in structured camping trips formed as the research respondents. Several child-centred research methods, including participant observation, focus group discussions, and interviews based on elicited drawings, were employed to study the children's construction of their experiences. Children mainly reported positive camping outcomes, including enhanced interpersonal skills, improved self-awareness, general knowledge and skills, and positive emotions. Negative outcomes including feelings of anxiety and boredom were also occasionally observed. The ongoing interplay of personal, social, and physical contexts works together to generate these camping outcomes. Practical and theoretical implications are offered to enhance positive outcomes and reduce negative ones when children go camping