288 research outputs found

    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

    ORGANIZATIONAL COMMUNICATION, SOCIAL MEDIA, AND SENSEMAKING DURING A CASCADING CRISIS: TOKYO DISNEY AND THE 2011 JAPAN EARTHQUAKE/TSUNAMI/NUCLEAR CRISIS

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    This study examines the connection between organizational crisis communication and sensemaking. In particular, the research focuses on messages of instructing, adjusting and reputation management and the use of social media in distributing these messages through and by the Tokyo Disney Resort during the earthquake/tsunami/nuclear crisis that hit Japan in 2011. Case study methods are used to analyze news coverage, Twitter and YouTube videos, informed by personal interviews and documentation related to the crisis and the Tokyo Disney Resort. The analysis found that the Tokyo Disney Resort provided messages of instructing, adjusting and reputation management in order to effectively foster the sensemaking process, which was corroborated by personal communication with cast members. Messages of instruction were delivered regularly through a park-wide speaker system and cast members who also provided instruction to minimize harm. Adjusting information was evident in effectively taking care of guests’ physical and psychological needs through provision of food, water, blankets, etc. and by keeping them updated about the status of the outside world. Finally, messages of reputation management were apparent in the Resort’s willingness to put people above profit by sacrificing food, products and money to help victims of the disaster

    Connectivity between damage to physical infrastructure and social science, The: a new field study protocol concept

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    2016 Fall.Includes bibliographical references.The primary objective of this thesis is to introduce a field study methodology that will be calibrated over the next several years to enable researchers to collect data in the field that can be used to better understand and quantify community resilience. Specifically, a key objective is to provide a mechanism to link damage to the physical infrastructure to social and economic dimensions of a community in a measurable way. Although there have been several past attempts at creating a common post-disaster field study protocol, none of them have attempted to quantify community resilience in a quantitative manner that can be used for risk and resilience analysis. The methodology explained in this thesis is unique because it discusses potential metrics that can be used to quantify community resilience and describes methods of quantifying these metrics using field data. These metrics come from a combination of disciplines including engineering, sociology, and economics. This work combines a literature review of past field study protocols with perceived data requirements in order to outline a field study methodology that can be used for disasters (primarily natural; not anthropogenic) of any type including tornados, hurricanes, flood, tsunamis, wildland-urban interface (WUI) fires, and earthquakes. Algorithms were derived that include the ability to process raw field study data in order to create probabilistic models of resilience metrics (i.e., fragility functions). These algorithms were then demonstrated using existing field data related to population dislocation caused by Hurricane Andrew. Finally, a community resilience field study was conducted five years into the recovery process in order to investigate and model the long term effects of the May 22, 2011 tornado that occurred in Joplin, MO. The planning and execution of this study is described and the data that was gathered is used to provide an illustrative example of the interconnectivity between the physical damage and socio-economic consequences

    Multi-UAV Integrated Internet of Things System for Generating Safe Map in Post-Disaster

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    芝浦工業大学2019年
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