2021 ◽  
Vol 288 ◽  
pp. 110316
Author(s):  
Joaquín Guillermo Ramírez-Gil ◽  
Darío Castañeda-Sánchez ◽  
Juan Gonzalo Morales-Osorio

2019 ◽  
Vol 1 ◽  
pp. 1-1
Author(s):  
Harrison Cole

<p><strong>Abstract.</strong> The near future of our planet under climate change is predicted to be characterized by increasingly frequent and severe natural hazards of all kinds. Understanding the potential spatial extent and impacts of these hazards is a critical component of creating effective emergency management plans, not just on the part of emergency managers and relief organizations, but also for those who may reside in areas vulnerable to disaster. Often, information about disaster risk is communicated using maps, such as in the case of storm surge maps, evacuation zone maps or wildfire extent maps. While generally helpful, these maps are of limited use to those with low vision or blindness, and the information is rarely, if ever, distributed in accessible formats. Furthermore, in contrast to wayfinding maps, this type of information does not lend itself to being translated into a set of instructions to be read aloud by a test-to-speech device. Instead, risk maps are useful because they allow users to identify and assess spatial relationships between many features on the maps- a key process that would be muddled if the maps were to be verbally described, and thus a process that is currently inaccessible to those who cannot see the maps. As people with visual impairments are especially vulnerable in disaster scenarios, working towards the universal accessibility of spatial information is imperative for inclusive disaster preparedness and hazard mitigation.</p><p>Many challenges exist in creating maps for people with visual impairments. The most obvious is the fact that a visual medium cannot be used by someone who is unable to see. It is important to note that “visual impairment” covers a broad spectrum of conditions from pronounced myopia to complete blindness. Here, I will be limiting my topical scope to people with total or near-total blindness. Tactile maps are the tool of choice for this population. However, it is generally harder to distinguish between similar patterns using touch than using sight, so features on a tactile map need to be unique and unambiguous. This makes it more challenging to communicate information typically represented using color gradients or transparency. Additionally, distributing spatial information in tactile form poses another layer of complications. There are several options for creating tactile maps, from embossed paper to 3D printing, and each come with their own advantages and drawbacks. Cost, speed and detail all vary among these media, and thus each potentially impact the user’s perception of risk.</p><p> In my talk, I will be examining these challenges as they intersect with research on cartographic risk visualization, emergency management, and tactile maps in general. First, I will briefly discuss the state of risk visualization in the context of emergency management, focusing on preparedness. Then, I will give a general overview of the extant research on tactile maps with particular attention paid to their influence on spatial cognition. Next, I will examine how the considerations particular to risk map creation are affected by the potentials and limitations of tactile maps. Finally, I will outline a research agenda for creating and distributing accessible maps for emergency management. Using visual impairment and tactile maps as starting points, I will identify further aspects of emergency management that urgently require greater attention to accessibility, and how cartographic research and technology can help bridge those gaps.</p><p> Planning for natural hazards is an essential step in mitigating their impacts on communities, and that process includes individual citizens making their own plans for evacuation, finding shelter or securing food, water or medicine. This is especially important for people with disabilities, as resources deployed after a disaster may fail to accommodate their particular needs, and processes such as evacuating a building or house can take substantially longer than average. Planning for these scenarios is made all the more difficult for people with visual impairments, as conventional maps are unhelpful, and environmental awareness is limited. Thus, empowering people with visual impairments to make emergency plans for themselves and contribute to planning for their community as a whole can help build autonomy and self-confidence and ultimately ensure that disaster plans truly account for everyone.</p>


Author(s):  
Ramon Swell Gomes Rodrigues Casado ◽  
Francisco Filipe Cunha Lima Viana ◽  
Lucas Borges Leal da Silva ◽  
Marcelo Hazin Alencar ◽  
Rodrigo José Pires Ferreira ◽  
...  

2021 ◽  
Author(s):  
Shunsaku Matsumoto ◽  
Vivek Jaiswal ◽  
Tadashi Sugimura ◽  
Shintaro Honjo ◽  
Piotr Szalewski

Abstract This paper presents a concept of a mooring digital twin frameworkand a standardized inspection datatemplate to enable digital twin. The mooring digital twin framework supports real-time and/or on-demand decision making in mooring integrity management, which minimizes the failure risk while reducing operation and maintenance cost by efficient inspection, monitoring, repair, and strengthening. An industry survey conducted through the DeepStar project 18403 identified a standard template for recording inspection data as a high priority item to enable application of the digital twins for integrity management. Further, mooring chain was selected as a critical mooring component for which a standard inspection template was needed. The characteristics of damage/performance prediction with the proposed mooring digital twin framework are (i) to utilize surrogates and/or reduced-order models trained by high-fidelity physics simulation models, (ii) to combine all available lifecycle data about the mooring system, (iii) to evaluate current and future asset conditions in a systematic way based on the concept of uncertainty quantification (UQ). The general and mooring-specific digital twin development workflows are described with the identified essential data, physics models, and several UQ methodologies such as surrogate modeling, local and global sensitivity analyses, Bayesian prediction etc. Also, the proposed digital twin system architecture is summarized to illustrate the dataflow in digital twin development andutilization. The prototype of mooring digital twin dashboard, web-based risk visualization and advisory system, is developed to demonstrate the capability to visualize the system health diagnosis and prognosis and suggest possible measures/solutions for the high-risk components as a digital twin's insight.


Author(s):  
Mark F. St. John ◽  
Woodrow Gustafson ◽  
April Martin ◽  
Ronald A. Moore ◽  
Christopher A. Korkos

Enterprises share a wide variety of data with different partners. Tracking the risks and benefits of this data sharing is important for avoiding unwarranted risks of data exploitation. Data sharing risk can be characterized as a combination of trust in data sharing partners to not exploit shared data and the sensitivity, or potential for harm, of the data. Data sharing benefits can be characterized as the value likely to accrue to the enterprise from sharing the data by making the enterprise’s objectives more likely to succeed. We developed a risk visualization concept called a risk surface to support users monitoring for high risks and poor risk-benefit trade-offs. The risk surface design was evaluated in a series of two focus groups conducted with human factors professionals. Across the two studies, the design was improved and ultimately rated as highly useful. A risk surface needs to 1) convey which data, as joined data sets, are shared with which partners, 2) convey the degree of risk due to sharing that data, 3) convey the benefits of the data sharing and the trade-off between risk and benefits, and 4) be easy to scan at scale, since enterprises are likely to share many different types of data with many different partners.


Author(s):  
Douglas L. Van Bossuyt ◽  
Stephen D. Wall ◽  
Irem Y. Tumer

Complex system conceptual design trade studies traditionally consider risk after a conceptual design has been created. Further, one person is often tasked with collecting risk information and managing it from each subsystem. This paper proposes a method to explicitly consider and trade risk on the same level as other important system-level variables during the creation of conceptual designs in trade studies. The proposed risk trading method advocates putting each subsystem engineer in control of risk for each subsystem. A risk vector is proposed that organizes many different risk metrics for communication between subsystems. A method of coupling risk models to dynamic subsystem models is presented. Several risk visualization techniques are discussed. An example is presented based upon a simplified spacecraft model. The risk trading method discussed offers an approach to more thoroughly consider risk during the creation of conceptual designs in trade studies.


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