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The purpose of the paper is to estimate the effect of rapid intervention vehicles (RIVs)’ impact on fire department (FDs)' response time.

The study employed multivariate regression analysis of changes in response times before and after introducing RIVs into the FD task force, controlling for expected travel time. Response time analysis based on the database of all emergency fire responses in Norway from 2016 to 2021 was carried out.

Introducing RIVs into the FDs' task force reduced response times by 53 s on average for every call where an RIV is being deployed, given an average driving length of an emergency call of 6.4 kilometers. The response time is reduced to approximately 37 s independently of driving length, and this effect increases with 2.5 s per km.

Precise estimation of the expected reduced response time was calculated by introducing the first RIV into the FD's task force based on advanced statistical analysis on complete emergency register data. The analysis shows that RIVs have a positive impact on response time in both urban and rural areas, while particularly strong for urban areas.

Women are being victimized sexually everywhere today, whether it is at home or office. Women are targeted for molestation, eve-teasing, and rape and sometimes they are murdered after rape. The objective of the present study is to understand the trend of sexual abuse in the socio-cultural context of India. The study aims to examine the relationship between the victim woman and the perpetrator and the impact of sexual abuse on the well-being of women.

The study applies the content analysis method for collecting data and conducting research. The data for this study were collected from June 2020 to November 2020. The sample cases for the current study were gathered manually by reading each and every news section that was published on sexual abuse in the various newspapers and magazines that were referenced in the introduction.

The study has found that women are mostly targeted for sexual abuse by known persons. The study has also found that girls between 6 and 15 years of age have suffered most from sexual abuse. Moreover, the study has pointed out that sexual abuse has a negative impact on women such as sometimes women commit suicide after sexual abuse, face psychological problems and sometimes they are, and their family members are threatened. Incidents of sexual abuse are affecting the mental happiness of women and an environment of fear is being created for women in society.

This is an original work of the author. The research work is based on content analysis that examines the nature and impact of sexual abuse among women in society by using socio-cultural perspective.

The purpose of this paper is to examine the effectiveness of using structured reflection via the critical incident analysis method to develop multicultural awareness and intercultural empathy in undergraduate-level pre-service teachers. This research is important, given the striking demographic mismatch between students and teachers in US schools.

This study adopts a convergent parallel mixed methods research design that combines both qualitative analysis of completed written critical incident analysis assignments and quantitative analysis of responses from a brief survey.

In most cases, engaging with the critical incident analysis method did lead participants reexamine their own experiences and develop a better understanding of their own biases and actions. While students followed different pathways with the assignment, participants were able to better understand the crucial role that teachers play in creating a space that values and welcomes diversity for the benefit of all students.

This study diverges from future research on the critical incident analysis method by asking students to examine specific moments from their past in the process of deep, targeted self-reflection.

The purpose of this study is to explore the life of the victim’s parents in Karnataka and to gain a better understanding of the consequences or impact of sex trafficking on them.

A narrative research design was used in the study. Applying the method of narrative inquiry and the concept of three common spaces, the study explored the actual life situations and experiences of the victim’s parents. The study covered three pairs of parents as participants from two cities, i.e. Mysore and Bangalore in the state of Karnataka. Data was collected through in-depth face-to-face interview, informal conversations, photographs and field notes.

The study found that the victims’ parents are living an isolated or socially alienated life with potential symptoms of behavioural, cognitive and emotional disorders. The study also found that the victim’s parents fundamental right to live with dignity and respect have been violated. A significant finding in the study was that the parents did not cite or refer to any substantial efforts undertaken by non-governmental organisations in reintegrating the victim’s families within their communities. There are many rehabilitative services available for the victims. Unfortunately, the victim’s parents mostly remain unnoticed and unattended by therapists, social work practitioners and policymakers. An appeal is made to therapists, social workers, policymakers and individuals to support the victim’s parents.

All forms of human trafficking, especially sex trafficking has drawn considerable interest from researchers, policymakers, charities and non-government agencies. However, very little is known about the living conditions of the victim’s parents, especially the psycho-social status in their families and neighbourhood. Therefore, it was pertinent to explore the life of the victim’s parents including violation of their human rights. It highlights the importance of support from the society in reintegrating the victim’s families with their communities. This paper contributes to the qualitative literature by providing narrative evidence, which will lead to better policymaking and designing effective support services for the victim’s parents.

This research aims to provide optimization and route safety planning employing the fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique.

This research combines the use of graphical, communication tools and simulated models based on building information modeling (BIM) technology and agent-based modeling (ABM) to identify a safe evacuation route. Adopting the multi-criteria decision-making (MCDM) approach, the proposed rescue plan can reduce potential hazards along the evacuation route by selecting a safe route for evacuating residents and entering firefighters to the scene of the incident.

The results show that the use of simulated models along with MCDM methods in the selection of safe routes improves the performance of safe evacuation operations for both relief groups and residents.

The introduced model can improve the performance management of different groups at the time of the incident and reduce casualties and property losses using the information received from sensors at the scene. Moreover, the proposed rescue plan prevents group and individual reactivation at the time of the incident.

Despite many advances in the architecture, engineering and construction (AEC) industry, the number of victims of fire incidents in buildings is increasing compared to other natural disasters. Improving decision management based on effective parameters at the time of incident reduces casualties of residents and rescue workers.

There are numerous studies on satisfaction, but not enough on dissatisfaction when its consequences can be harmful. This study aims to examine different unsatisfactory situations during customer–supplier relationships in industrial markets combining the appraisal theory with the critical incident technique to identify potential problems and strategies to minimize their effect.

This research follows an exploratory qualitative approach based on 18 in-depth interviews with managers from business-to-business firms. The information obtained was object of a textual and conceptual analysis using the analytical software ATLAS TI 9.0.

The results show that negative cognitions have greater influence than negative emotions, and those dissatisfied customers may respond by expressing complaints, ending transactional relationships, reporting the other party legally, asking for explanations or continuing commercial relationships, even though they are dissatisfied. This will depend on the severity of the critical incident and the negative cognitions and emotions perceived. Proactivity and understanding of this situation will allow for understanding what specific actions to take to resolve conflicts and mitigate the negative effects among the parties.

This paper focuses on dissatisfaction, instead of satisfaction, in industrial markets through the appraisal theory. Furthermore, it applies the critical incident technique to understand the cognitions and emotions related with dissatisfaction in the commercial relationships. Finally, it provides ideas on what are the main source of dissatisfaction and how to manage them to anticipate and better manage those incidents.

The annual holiday party is a long-standing tradition in many organizations, yet academic research has largely left the holiday party unexamined. The present study sheds light on this significant social event by exploring what factors help differentiate successful events from less successful ones.

First, the authors developed a taxonomy of characteristics of good holiday parties using a critical incident technique in which stories of holiday party experiences were analyzed following a mixed-method approach. Second, the authors quantitatively examined the relationships between these characteristics and three outcomes, including perceived organizational support, positive interpersonal interactions, and experienced fun.

The critical incident analysis revealed 11 key characteristics that distinguish good from bad holiday parties. Primary findings from the quantitative study are that games and activities, music, good food, and notable positive leader behavior are key characteristics of more successful events.

As the data were obtained using a traditional survey methodology, further research would be valuable that adopts an experience sampling methodology to capture employee experiences, perceptions, and feelings about holiday parties in real-time before, during, and after an event has occurred.

From an event planning standpoint, this research provides a framework for designing holiday parties and provides evidence as to which features matter most. From a strategic leadership perspective, this research signals that different features of holiday parties can influence different outcomes.

Beyond merely identifying important characteristics, this research provides a framework for further research on holiday parties and identifies theories that can be used in future research to explore the mechanisms that influence how and under what conditions holiday parties impact employees’ experiences at work.

High rates of suicide and self-harm are reported in prisons in Western countries, while fewer studies exist from a non-Western context. This study aims to identify rates of suicide, non-fatal suicide attempts and self-harm in Moroccan prisons and to better understand the context, methods, tools, predictors and profile of persons engaged in the acts.

The authors report findings from a mixed-methods study carried out before an intervention project. The study consists of a systematic literature review, an analysis of suicide case files, a quantitative survey on suicide attempts and self-harm, as well as interviews and focus group discussions. The authors calculate suicide, suicide attempt and self-harm rates and present descriptive data on the incidents. The authors use regression models to explore the association between the number of incidents per individual and selected predictors, adjusting for clustering by institution.

Over a four-year period, 29 detained persons in Morocco died by suicide (average annual suicide rate 8.7 per 100,000). Most were men under the age of 30. Hanging accounted for all but one case. In one year, 230 suicide attempts were reported. Over a three-months period, 110 self-harm cases were reported from 18 institutions, cutting being the most common method. Self-harm was significantly more prevalent among persons with a life sentence or repeated incarcerations.

To make the study manageable as part of an intervention project, the authors collected data on suicides and suicide attempts from all prisons, while data on self-harm were collected from fewer prisons and over a shorter time period. The authors did not collect comparable information from detained persons who did not die by suicide, attempt suicide or self-harm. This prevented comparative analyses. Further, it is possible that self-harm cases were not reported if they did not result in serious physical injury. Data were collected by prison staff; thus, the voice of incarcerated persons is absent.

This study provided a solid basis for designing an intervention project including the development of a national prison policy and guidelines on suicides, suicide attempts and self-harm and a country-wide training program for prison staff. It also led to a better surveillance system, allowing for trend analysis and better-informed policymaking. The qualitative results helped create an understanding of how staff may trivialize self-harm. This was integrated into the training package for staff, resulting in the creation of prison staff trainers who became the strongest advocates against the notion that self-harm was best ignored.

To the best of the authors’ knowledge, this is the first published data on suicide and self-harm in Moroccan prisons. It underscores the necessity for the intervention project and gives valuable insights into suicide and self-harm in a non-Western prison context. Further research is needed to assess whether the findings are typical of the region.

We present the results of one of the only in-depth studies of a police agency’s internal and external response to the coronavirus pandemic of 2020 (COVID-19). This study emphasizes the importance of law enforcement agencies conducting comprehensive case studies and after-action assessments to prepare, prevent and respond to prolonged public health crises and showcases the profound (and lingering) effects of COVID-19 on police organizations.

This multi-method case study combines document analysis, a workforce survey, a community survey, interviews and analysis of administrative data to detail and assess the agency’s internal and operational responses to the pandemic and the reactions of employees and community members to those responses.

Despite agency strategies to mitigate the pandemic’s effects, employees cited very high stress levels one year after the pandemic and a third of sworn officers considered leaving the policing profession altogether during the first two years of the COVID-19 pandemic. Several policies intended by the agency to protect employee health and maintain staffing needs kept workforce levels steady but may have increased feelings of organizational injustice in both sworn and non-sworn individuals, with variation across racial and gender groups. A jurisdiction-wide community survey indicated general support for the police department’s responses but a preference for in-person rather than telephone-based responses to service calls. Officers, however, preferred continuing remote responses even after the pandemic subsided.

To the best of our knowledge, this is one of the only in-depth case studies that examine a police agency’s internal and external responses to COVID-19 and the sworn, non-sworn and community reactions to those responses.

Learning from safety accidents and sharing safety knowledge has become an important part of accident prevention and improving construction safety management. Considering the difficulty of reusing unstructured data in the construction industry, the knowledge in it is difficult to be used directly for safety analysis. The purpose of this paper is to explore the construction of construction safety knowledge representation model and safety accident graph through deep learning methods, extract construction safety knowledge entities through BERT-BiLSTM-CRF model and propose a data management model of data–knowledge–services.

The ontology model of knowledge representation of construction safety accidents is constructed by integrating entity relation and logic evolution. Then, the database of safety incidents in the architecture, engineering and construction (AEC) industry is established based on the collected construction safety incident reports and related dispute cases. The construction method of construction safety accident knowledge graph is studied, and the precision of BERT-BiLSTM-CRF algorithm in information extraction is verified through comparative experiments. Finally, a safety accident report is used as an example to construct the AEC domain construction safety accident knowledge graph (AEC-KG), which provides visual query knowledge service and verifies the operability of knowledge management.

The experimental results show that the combined BERT-BiLSTM-CRF algorithm has a precision of 84.52%, a recall of 92.35%, and an F1 value of 88.26% in named entity recognition from the AEC domain database. The construction safety knowledge representation model and safety incident knowledge graph realize knowledge visualization.

The proposed framework provides a new knowledge management approach to improve the safety management of practitioners and also enriches the application scenarios of knowledge graph. On the one hand, it innovatively proposes a data application method and knowledge management method of safety accident report that integrates entity relationship and matter evolution logic. On the other hand, the legal adjudication dimension is innovatively added to the knowledge graph in the construction safety field as the basis for the postincident disposal measures of safety accidents, which provides reference for safety managers' decision-making in all aspects.