e-Sanctuary: open multi-physics framework for modelling wildfire urban evacuation

The number of evacuees worldwide during wildfire keep rising, year after year. Fire evacuations at the wildland-urban interfaces (WUI) pose a serious challenge to fire and emergency services and are a global issue affecting thousands of communities around the world. But to date, there is a lack of comprehensive tools able to inform, train or aid the evacuation response and the decision making in case of wildfire. The present work describes a novel framework for modelling wildfire urban evacuations. The framework is based on multi-physics simulations that can quantify the evacuation performance. The work argues that an integrated approached requires considering and integrating all three important components of WUI evacuation, namely: fire spread, pedestrian movement, and traffic movement. The report includes a systematic review of each model component, and the key features needed for the integration into a comprehensive toolkit

Path planning for first responders in the presence of moving obstacles

Navigation services have gained much importance for all kinds of human activities ranging from tourist navigation to support of rescue teams in disaster management. However, despite the considerable amount of route guidance research that has been performed, many issues that are related to navigation for first responders still need to be addressed. During disasters, emergencies can result in different types of moving obstacles (e.g., fires, plumes, floods), which make some parts of the road network temporarily unavailable. After such incidents occur, responders have to go to different destinations to perform their tasks in the environment affected by the disaster. Therefore they need a path planner that is capable of dealing with such moving obstacles, as well as generating and coordinating their routes quickly and efficiently. During the past decades, more and more hazard simulations, which can modify the models with incorporation of dynamic data from the field, have been developed. These hazard simulations use methods such as data assimilation, stochastic estimation, and adaptive measurement techniques, and are able to generate more reliable results of hazards. This would allow the hazard simulation models to provide valuable information regarding the state of road networks affected by hazards, which supports path planning for first responders among the moving obstacles. The objective of this research is to develop an integrated navigation system for first responders in the presence of moving obstacles. Such system should be able to navigate one or more responders to one or multiple destinations avoiding the moving obstacles, using the predicted information of the moving obstacles generated from by hazard simulations. In this dissertation, the objective we have is expressed as the following research question: How do we safely and efficiently navigate one or more first responders to one or more destinations avoiding moving obstacles? To address the above research questions, this research has been conducted using the following outline: 1). literature review; 2). conceptual design and analysis; 3). implementation of the prototype; and 4). assessment of the prototype and adaption. We investigated previous research related to navigation in disasters, and designed an integrated navigation system architecture, assisting responders in spatial data storage, processing and analysis.Within this architecture, we employ hazard models to provide the predicted information about the obstacles, and select a geo-database to store the data needed for emergency navigation. Throughout the development of the prototype navigation system, we have proposed: a taxonomy of navigation among obstacles, which categorizes navigation cases on basis of type and multiplicity of first responders, destinations, and obstacles; a multi-agent system, which supports information collection from hazard simulations, spatio-temporal data processing and analysis, connection with a geo-database, and route generation in dynamic environments affected by disasters; data models, which structure the information required for finding paths among moving obstacles, capturing both static information, such as the type of the response team, the topology of the road network, and dynamic information, such as changing availabilities of roads during disasters, the uncertainty of the moving obstacles generated from hazard simulations, and the position of the vehicle; path planning algorithms, which generate routes for one or more responders in the presence of moving obstacles. Using the speed of vehicles, departure time, and the predicted information about the state of the road network, etc., three versions (I, II, and III) of Moving Obstacle Avoiding A* (MOAAStar) algorithms are developed: 1). MOAAstar– I/Non-waiting, which supports path planning in the case of forest fires; 2). MOAAstar–II/Waiting, which introduces waiting options to avoid moving obstacles like plumes; 3). MOAAstar–III/Uncertainty, which can handle the uncertainty in predictions of moving obstacles and incorporate the profile of responders into the routing. We have applied the developed prototype navigation system to different navigation cases with moving obstacles. The main conclusions drawn from our applications are summarized as follows: In the proposed taxonomy, we have identified 16 navigation cases that could occur in disaster response and need to be investigated. In addressing these navigation problems, it would be quite useful to employ computer simulations and models, which can make reliable predicted information about responders, the targets, and obstacles, in finding safe routes for the responders. The approach we provide is general and not limited to the cases of plumes and fires. In our data model, the data about the movement of hazards is represented as moving polygons. This allows the data model to be easily adjusted to merge and organize information from models of different types of disasters. For example, the areas that are affected by floods can also be represented as moving polygons. To facilitate the route calculation, not only the data of obstacles but also the information about the state of road networks affected by obstacles need to be structured and stored in the database. In planning routes for responders, the routing algorithms should incorporate the dynamic data of obstacles to be able to avoid the hazards. Besides, other factors, such as the operation time of tasks, the required arrival time, and departure time, also need to be considered to achieve the objectives in a rescue process, e.g., to minimize the delays caused by the moving obstacles. The profile of responders is quite important for generation of feasible routes for a specific disaster situation. The responders may have different protective equipment that allows them to pass through different types of moving obstacles, and thus can have different classification of risk levels to define the state of the road network. By taking into account the profile of the responders, the navigation system can propose customized and safe routes to them, which would facilitate their disaster response processes. On the basis of our findings, we suggest the following topics for future work: As presented Wang and Zlatanova (2013c), there are still a couple of navigation cases that need to be addressed, especially the ones that involve dynamic destinations. More algorithms would be needed to solve these navigation problems. Besides, some extreme cases (e.g., the obstacle covers the target point during the course of an incident) also need to be investigated. Using standard Web services, an Android navigation application, which can provide navigation services in the environment affected by hazards, needs to be developed and tested in both the daily practice and real disasters. In this application, a user interface with various styling options should also be designed for different situations, e.g., waiting and moving, day and night, and urgent and non-urgent. Because the communication infrastructure may not be available or work properly during a disaster response, a decentralized method is needed to allow different users to negotiate with each other and to make local agreements on the distribution of tasks in case there is no support from the central planning system. Another type of multi-agent system would be needed to handle this situation. Introduce variable traveling speed into the re-routing process. The vehicle speed plays an important role in generation of routes avoiding moving obstacle, and can be influenced by many factors, such as the obstacles, the type of vehicles, traffic conditions, and the type of roads. Therefore, it would be needed to investigate how to derive the current and future speed from trajectories of vehicles. Apply the system to aid navigation in various types of natural disasters, using different hazard simulation models (e.g., flood model). More types of agents would be needed and integrated into the system to handle heterogeneous data from these models. Extensions of the data model are also required to meet a wider range of informational needs when multiple disasters occur simultaneously

Three Essays on Law Enforcement and Emergency Response Information Sharing and Collaboration: An Insider Perspective

This dissertation identifies what may be done to overcome barriers to information sharing among federal, tribal, state, and local law enforcement agencies and emergency responders. Social, technical, and policy factors related to information sharing and collaboration in the law enforcement and emergency response communities are examined. This research improves information sharing and cooperation in this area. Policing in most societies exists in a state of dynamic tension between forces that tend to isolate it and those that tend to integrate its functioning with other social structures (Clark, 1965). Critical incidents and crimes today cross jurisdictions and involve multiple stakeholders and levels. Law enforcement and emergency response agencies at federal, tribal, state, and local levels, including private sector entities, gather information and resources but do not effectively share this with each other. Despite mandates to improve information sharing and cooperation, gaps remain perhaps because there is no clear understanding of what the barriers to information sharing are. Information sharing is examined using a multi-method, primarily qualitative, approach. A model for information sharing is presented that identifies social, technical, and policy factors as influencers. Facets of General Systems Theory, Socio-technical Theory, and Stakeholder Theory (among others) are considered in this context. Information sharing is the subject of the first work of the dissertation: a theoretical piece arguing for use of a conceptual framework consisting of social, technical, and policy factors. Social, technology, and policy factors are investigated in the second essay. That essay introduces a new transformative technology, edgeware, that allows for unprecedented connectivity among devices. Social and policy implications for crisis response are examined in light of having technological barriers to sharing resources reduced. Human and other factors relevant to information sharing and collaboration are further examined through a case study of the Central New York Interoperable Communications Consortium (CNYICC) Network, a five-county collaboration involving law enforcement, public safety, government, and non-government participants. The three included essays have a common focus vis-à-vis information sharing and collaboration in law enforcement and emergency response. The propositions here include: (P1) Information sharing is affected by social, technical, and policy factors, and this conceptualization frames the problem of information sharing in a way that it can be commonly understood by government and non-government stakeholders. The next proposition involves the role of technology, policy, and social systems in information sharing: (P2) Social and policy factors influence information sharing more than technical factors (assuming it is physically possible to connect and/or share). A third proposition investigated is: (P3) Social factors play the greatest role in the creation and sustaining of information sharing relationships. The findings provide a greater understanding of the forces that impact public safety agencies as they consider information sharing and will, it is hoped, lead to identifiable solutions to the problem from a new perspective

Towards the “Perfect” Weather Warning

This book is about making weather warnings more effective in saving lives, property, infrastructure and livelihoods, but the underlying theme of the book is partnership. The book represents the warning process as a pathway linking observations to weather forecasts to hazard forecasts to socio-economic impact forecasts to warning messages to the protective decision, via a set of five bridges that cross the divides between the relevant organisations and areas of expertise. Each bridge represents the communication, translation and interpretation of information as it passes from one area of expertise to another and ultimately to the decision maker, who may be a professional or a member of the public. The authors explore the partnerships upon which each bridge is built, assess the expertise and skills that each partner brings and the challenges of communication between them, and discuss the structures and methods of working that build effective partnerships. The book is ordered according to the “first mile” paradigm in which the decision maker comes first, and then the production chain through the warning and forecast to the observations is considered second. This approach emphasizes the importance of co-design and co-production throughout the warning process. The book is targeted at professionals and trainee professionals with a role in the warning chain, i.e. in weather services, emergency management agencies, disaster risk reduction agencies, risk management sections of infrastructure agencies. This is an open access book

The Impact of Occupational Safety on Logistics and Automation in Industrial Plants

Research on workplace health and safety analyses the integration of work practices with safety, health and wealth of people at work. The aim of occupational safety is to realize a safe and health work environment, eliminating or reducing the risks for workers' safety and health. The objective of this thesis is the study, integration, development and application of innovative approaches and models for decision-making support in the context of occupational safety in industrial plants and logistics. Such methodologies are expected to lead practitioners and decision-makers, in particular safety professionals and companies, in the management of occupational safety. In particular, this research focuses on the integration and application of ergonomics principles to reduce biomechanical overload of manual work, and methodologies and solutions to improve safety of confined space work in industrial plants. The study of biomechanical overload due to manual handling of loads and awkward postures is the object of several researches and publications addressing the ergonomic risk assessment and the ergonomic approach to remove or reduce the risk of manual handling injuries and disorders. Furthermore, when awkward postures are assumed in high-risk workplaces as confined spaces, the overall risk of work is extremely high. Confined space work is a high-risk activity, posing a significant hazard for both workers and rescuers involved in the emergency response. The leading cause of accidents and fatalities in confined spaces is atmospheric condition (Sahli & Armstrong 1992, Harris et al. 2005, Flynn & Susi, 2010, Meeker, Susi & Flynn 2010, Ye 2011, Bellamy 2015). Further common causes are fire, explosion, ignition of flammable contaminants, spontaneous combustion and contact with temperature extremes. Besides, work activities in confined spaces (e.g., welding and maintenance tasks) frequently require awkward and static postures, at high temperatures. This thesis stresses the importance of implementing health and safety interventions at workplace. These interventions have impact not only on enterprise level but also on individual and social levels. Furthermore, protection of human life is a matter of human rights and human life has an invaluable value. In this thesis, the role of occupational safety and safety strategy as means for the improvement of workers and companies’ performances clearly emerges. Two parallel research fields on occupational safety are investigated: ergonomics and confined spaces. Selected data are introduced related to occupational accidents and diseases due to biomechanical overload and work in confined spaces. The literature survey on controls for risk elimination and reduction shows that technology for safety is available. Nevertheless, injuries and accidents still occur, i.e. safety is frequently considered an expensive investment and a compliance obligation. Specifically, administrative and engineering controls for risk elimination and reduction are introduced for each research field. Administrative controls include work procedures and mathematical models for the design of safe work processes. Such control methods reduce the workers' exposure to occupational risk factors. The ergonomic analysis of manual handling activities drives the modelling by multi-objective optimisation problems in the design of administrative controls for the ergonomic risk reduction in different industries. Administrative controls for risks in confined spaces include work procedures, a multi-criteria decision tool and the analysis of the requirements of Internet of Things (IOT) technologies for reducing the risk of confined space work. The introduction of automation to replace manual work and engineering controls for confined space work are analysed for the risk elimination. Results show that the integration of ergonomics and safety principles in the industrial processes plays a leading role in the successful implementation of the overall strategy. Technologies for safe confined space work and technical solutions assisting workers during manual material handling tasks have been the focus of the Solutions Database Project, funded by the Azienda Unità Sanitaria Locale of Bologna (AUSL), Italy. The study of such technological and technical solutions lead to the development of the Solutions Database, a free access database available online for researchers and practitioners (http://safetyengineering.din.unibo.it/en/banca-delle-soluzioni). The thesis ends with the recommendation that companies should integrate workplace health and safety principles to human resource management and work organisation. The management of health and safety issues should be considered to be crucial for workplace development, as a lever to increase performance and productivity. Finally, this research aims to support and reinforce the evolution of the concept of safety in industry, from ex post required obligation, to ex ante optimisation strategy

The Impact of the COVID-19 Emergency on the Quality of Life of the General Population

COVID-19 is a pandemic that has forced many states to declare restrictive measures in order to prevent its wider spread. These measures are necessary to protect the health of adults, children, and people with disabilities.Long quarantine periods could cause an increase in anxiety crises, fear of contagion, and post-traumatic stress disorder (frustration, boredom, isolation, fear, insomnia, and difficulty concentrating).Post-traumatic stress disorder (PTSD) is a condition that can develop in subjects who have witnessed a traumatic, catastrophic, or violent event, or who have become aware of a traumatic experience that happened to a loved one.In fact, from current cases, it emerges that the prevalence of PTSD varies from 1% to 9% in the general population and can reach 50%–60% in subgroups of subjects exposed to traumas considered particularly serious. PTSD develops as a consequence of one or more physical or psychological traumatic events, such as exposure to natural disasters such as earthquakes, fires, floods, hurricanes, tsunamis; wars, torture, death threats; road accidents, robbery, air accidents; diseases with unfavorable prognoses; complicated or traumatic mourning; physical and sexual abuse and abuse during childhood; or victimization and discrimination based on gender, sexual orientation, or gender identity. It can also develop following changes in lifestyle habits caused by the COVID-19 epidemic.Thank you for reading the manuscripts in this Special Issue, "The Impact of the COVID-19 Emergency on the Quality of Life of the General Population"