2,048 research outputs found

    Recommender Thermometer for Measuring the Preparedness for Flood Resilience Management

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    A range of various thermometers and similar scales are employed in different human and resilience management activities: Distress Thermometer, Panic Thermometer, Fear Thermometer, fire danger rating, hurricane scales, earthquake scales (Richter Magnitude Scale, Mercalli Scale), Anxiety Thermometer, Help Thermometer, Problem Thermometer, Emotion Thermometer, Depression Thermometer, the Torino scale (assessing asteroid/comet impact prediction), Excessive Heat Watch, etc. Extensive financing of the preparedness for flood resilience management with overheated full-scale resilience management might be compared to someone ill running a fever of 41°C. As the financial crisis hits and resilience management financing cools down it reminds a sick person whose body temperature is too low. The degree indicated by the Recommender Thermometer for Measuring the Preparedness for Flood Resilience Management with a scale between Tmin=34,0° and Tmax=42,0° shows either cool or overheated preparedness for flood resilience management. The formalized presentation of this research shows how changes in the micro, meso and macro environment of resilience management and the extent to which the goals pursued by various interested parties are met cause corresponding changes in the “temperature” of the preparedness for resilience management. Global innovative aspects of the Recommender Thermometer developed by the authors of this paper are, primarily, its capacity to measure the “temperature” of the preparedness for flood resilience management automatically, to compile multiple alternative recommendations (preparedness for floods, including preparing your home for floods, taking precautions against a threat of floods, retrofitting for flood-prone areas, checking your house insurance; preparedness for bushfires, preparedness for cyclones, preparedness for severe storms, preparedness for heat waves, etc.) customised for a specific user, to perform multiple criteria analysis of the recommendations, and to select the ten most rational ones for that user. Across the world, no other system offers these functions yet. The Recommender Thermometer was developed and fine-tuned in the course of the Android (Academic Network for Disaster Resilience to Optimise educational Development) project

    Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)

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    This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). The goal of the project was the training in geospatial data acquiring and processing for students attending Architecture and Engineering Courses, in order to start up a team of "volunteer mappers". Indeed, the project is aimed to document the environmental and built heritage subject to disaster; the purpose is to improve the capabilities of the actors involved in the activities connected in geospatial data collection, integration and sharing. The proposed area for testing the training activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According to other international experiences, the group is expected to be active after emergencies in order to upgrade maps, using data acquired by typical geomatic methods and techniques such as terrestrial and aerial Lidar, close-range and aerial photogrammetry, topographic and GNSS instruments etc.; or by non conventional systems and instruments such us UAV, mobile mapping etc. The ultimate goal is to implement a WebGIS platform to share all the data collected with local authorities and the Civil Protectio

    IRIDeS Report 03

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    Method to extract difficult-to-evacuate areas by using tsunami evacuation simulation and numerical analysis

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    Extracting the area where people have difficulty evacuating (hereafter difficult-to-evacuate areas, DEA) when tsunamis hit after an earthquake is important for effective disaster mitigation measures. The DEA was conven-tionally extracted by simply considering the walking speed, distance to the evacuation destination, and time needed for evacuation after considering the estimated tsunami inundation area. However, evaluating the DEA from such a simple scheme is insufficient because the behavior of residents and the road conditions to the evacuation destinations after an earthquake are not properly reflected in the scheme. In this study, agent-based tsunami evacuation simulations that can reflect the behavior of residents and real -time changes in the situation were conducted in Zihuatanejo, Guerrero, Mexico. It is a prime sightseeing destination under the high risk of megathrust events in the Guerrero Gap. First, by checking the simulation images at the tsunami arrival time, bottleneck locations were identified, and five additional models with different measures for the bottleneck locations were constructed and tested to find the best model with 195 casualties. Then, focusing on the best model, three indices for the casualties were proposed to extract the DEA effectively and quantitatively, and numerical analyses using the three indices was conducted. Finally, the subdistrict in the center of the target area (subdistrict 5) was quantitatively found to be the district that should be given the highest priority for measures. Moreover, an example model with a new measure in subdistrict 5 was validated to have 101 casualties. The key points for applying the proposed method for extraction of DEA in other areas are summarized

    Combination of school evacuation drill with tsunami inundation simulation: Consensus-making between disaster experts and citizens on an evacuation strategy

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    This paper aims to introduce an effective methodology for communicating a science-based tsunami risk scenario to non-expert citizens through consensus-making between disaster experts and non-experts, with the aid of four-way split-screen movie clips depicting evacuation scenarios. Action research on tsunami education in Zihuatanejo, Mexico found that a perception of tsunamis as catastrophic together with the one-directional nature of risk communication resulted in inaction on the part of non-experts in disaster preparedness, contrary to the expectations of experts. In other words, non-experts did not think that they could cope with a tsunami disaster and they perceived that as non-experts they themselves could not affect the tsunami risk scenario communicated to them by the experts. In response, movie clips simultaneously displaying a school evacuation drill and tsunami inundation simulation were developed. These movie clips are intended to serve as a tool in the process of establishing a school tsunami evacuation strategy by promoting consensus-making between experts and non-experts about the risk scenario, thereby helping to change the perception of a tsunami from a catastrophe that cannot be dealt with by non-experts to a realistic perception that non-experts can indeed help by engaging in their own tsunami risk preparedness activities. The developed movie clips were used at a workshop for stakeholders, including academics, local government, and teachers, with the aims of establishing scenario-based evacuation strategies and promoting the proactive implementation of preparedness activities by non-expert teachers. The study will contribute to establishing a mechanism for applying scientific knowledge to solving societal issues

    Community-mediated individual disaster preparedness practices: A case study in Kochi, Japan

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    Self help has become an increasingly influential factor in disaster risk reduction due to the inherent uncertainty that comes with natural hazards. Despite a lack of public support in emergency situations, citizens' low commitment to self help has remained unaffected, and, consequently, both experts and the government have made efforts to encourage citizens to take action. Although the government- and expert-oriented efforts, and unidirectional communication in general, have been criticized as the deficit model approach, because they do not necessarily make behavioral changes, these methods still remain as the ones that are primarily used. This study introduces a community's tsunami disaster preparedness as an alternative to the deficit model. We focus on the community's practice of preparing boxes for individual emergency relief (the “individual box”), which were stored in a common storage facility on higher ground and managed by the community. We discuss this in the context of activity theory: self help is understood not only by the relationship between the government/expert (subject) and citizens (object), but also that between the individual box and the community. We showed through interviews and field work that this practice facilitates a high participation rate in preparing emergency relief and rapid evacuation. Moreover, cooperative communal practices had the added benefit of engaging individuals in the broader social system. Although this study focuses on small communities, this method can be applied to larger communities by regarding it as a practical application of activity theory and as a new alternative that encourages individual practice

    The Yamanote Loop: Unifying Rail Transportation and Disaster Resilience in Tokyo

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    As climate change and population growth persist, and as the world rapidly urbanizes, major cities across the globe will face unprecedented strains. The risk of devastating impact from natural disasters increases in areas with a growing concentration of people. Megacities in Asia are the most at-risk of natural disasters, given their geographic location and high population density. With the highest projected population growth in the world, Asian cities must quickly expand and adapt their existing infrastructure to accommodate the transforming global conditions. A remarkable anomaly amongst Asian megacities, Tokyo, Japan is effectively adapting to its earthquake-prone environment. Within the last century, Japan has implemented seismically reinforced buildings and educational resources for earthquake preparedness. Amongst other technological innovations, investments in railway transportation have permitted major cities like Tokyo to expand and adjust according to its changing needs. The Yamanote Line is the primary commuter rail line in Tokyo. Its antecedent originated in 1885 and has since undergone significant changes to evolve into the highly sophisticated system it is today. By examining the evolvement of the Yamanote line from its conception and into the 21st century, this study explores the correlation between local rail transportation networks and their city’s resilience to natural disasters. A descriptive analysis aligned with four constructs of transportation resilience—robustness, redundancy, resourcefulness, and rapidity—observes instances in which the Yamanote line potentially strengthens Tokyo’s comprehensive disaster preparedness. The following study intentionally circumvents normative-prescriptive conclusions and focuses primarily on the impact of transformations of railway transportation on its broader urban context over time respective to disaster resilience and with consideration of other relative factors

    Development of Disaster Resilient Coastal Communities to Enhance Economic Development and Social Welfare: Book of Abstracts

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    Coast at risk – the importance of risk knowledge Coastal communities all over the world are under severe pressure resulting from planned and unplanned development, population growth and human induced vulnerability, coastal hazards with increasing frequency and magnitude and impacts of global climate change. These unprecedented changes have increased the level of risk of such coastal communities from a wide range of coastal hazards arising from natural phenomena and human induced activities. In this respect the assessment and management of risk for coastal hazards plays a vital role for safety of human lives, conservation of ecosystems and protection of the built environment. It leads to the development of disaster resilient communities to enhance economic development and social welfare. Risk assessment is one of the fundamental first steps towards planning, improving and implementing effective disaster risk reduction policies and programmes. One has to know and identify risks if they are to be effectively reduced and contained. There is a need to develop simplified approaches to risk assessment to convince a wider stakeholder base that investing in risk assessments pay. Such approaches bring together so many members of civil society leading the efforts to make disaster risk reduction everyone’s business

    Tsunami Evacuation Planning as a tool for Tsunami Risk Reduction: A case study in Palu Bay, Central Sulawesi

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    Situated in one of the most complicated tectonic zones of the world, Palu is classified as one of the most susceptible places to earthquake and tsunami in Indonesia. This study aim to develop near-field tsunami evacuation simulation, as the primary strategy to reduce casualties in disaster risk reduction, based on daytime and night-time population scenarios in a tsunami-prone area in Palu Bay, Central Sulawesi. Least Cost Distance, a geospatial evacuation analysis approach in ArcGIS, is applied involving three main variables, namely population exposure, the arrival time of tsunami and walking speed of evacuees. These variables were analysed to calculate distribution of populations in daytime and night-time scenario; to identify and calculate the capacity of potential existing evacuation shelter buildings (ESB); and to analyse suitable locations, and to calculate the number and capacity of additional ESBs based on the most effective evacuation route. This study found that of the population in the study area, about 62.60 % cannot be sheltered in the seven existing ESB in the daytime as well as 63.98% of total population in the night-time scenario. Meanwhile,only 60.13% and 61.83% of the population in the service area of existing ESBs, can be evacuated in daytime and night-time scenarios, respectively. Therefore, eleven and twelve additional ESBs are proposed to be established for daytime and night-time scenarios, respectively, to accommodate people who currently cannot be sheltered
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