Comunicação do risco natural em Portugal

Na presente dissertação pretende-se compreender como é que a comunicação do risco é considerada pelos profissionais ligados à gestão do risco no domínio das calamidades naturais em Portugal. Para tal, além da fundamentação teórica acerca do objeto de estudo deste trabalho, ou seja, da comunicação do risco, pretende-se reunir algumas pistas que permitam compreender a visão que os profissionais ligados à gestão do risco, nomeadamente no âmbito das calamidades naturais têm desta disciplina de comunicação. É igualmente propósito desta dissertação aferir se a sociedade civil tem acesso a informação no que concerne a comportamentos redutores do risco no domínio da ocorrência de uma catástrofe natural, tais como um sismo ou um tornado. Neste sentido, pretende-se, portanto clarificar, em primeiro lugar, se existem, de facto, esforços de comunicação no que diz respeito à divulgação de informação sobre os riscos inerentes a um determinado fenómeno natural. E, segundo compreender o motivo pelo qual a sociedade civil portuguesa não tem um papel ativo no processo de gestão do risco: será que esta inércia se deve à falta de interesse (aliada à ignorância) da população no que concerne a temática do risco, em particular, no domínio da ocorrência de catástrofes naturais. Por fim, na presente dissertação é apresentado um guia de boas práticas para porta-vozes no domínio da comunicação do risco.

Social capital and natural hazards : trust and cohesion in the eastern visayas of the Philippines

Cette thèse porte sur le capital social et les mesures prises afin de se préparer aux aléas naturels aux Philippines. L’archipel est régulièrement soumis à de nombreux risques de catastrophe, générant parfois des conséquences désastreuses pour la population et le patrimoine économique du pays. Par ailleurs, ces îles portent un lourd héritage colonial rendant omniprésents les inégalités socioéconomiques, le manque de solidarité et la pauvreté. Le concept du capital social demeure encore très polémique, cependant nous croyons qu'il peut s'avérer utile afin de mieux réfléchir à la façon dont les sociétés humaines interagissent avec les aléas naturels. Nos recherches mettent en avant l’importance des inégalités socioéconomiques, du contexte et de l'échelle géographique dans l’analyse du capital social et de la préparation aux aléas. Elles soulignent d'autre part que la compréhension des dynamiques sociales, telles que la confiance et la participation communautaire, ne peut être atteinte sans une considération des contextes politiques. Nous avons porté une attention particulière à l'examen des contextes et des différentes formes de capital social, et ce, à plusieurs niveaux géographiques (village, municipalité, région, pays). Un nombre croissant d'études montre que l'inégalité économique entraîne des conséquences néfastes sur le capital social. Des recherches récentes ont également commencé à interroger les rapports entre le capital social et les catastrophes dites « naturelles ». Notre thèse établit un lien entre ces deux approches en couplant une analyse générale de la situation des Philippines à une étude approfondie d'une municipalité rurale isolée de la région des Visayas orientales. L'argument central de cette thèse est que l'inégalité économique produit des effets néfastes sur le capital social, entraînant des répercussions négatives sur la prévention des catastrophes « naturelles ». Par le biais de l'analyse de plusieurs échelles géographiques, cette thèse entend montrer comment les inégalités, de par leur impact sur le capital social, contribuent à augmenter les chances de voir les aléas naturels se constituer en désastres. Nous avançons qu'un usage circonspect du concept de capital social, prenant en compte les complexités politiques, historiques, et géographiques du contexte auquel il s'applique, a la capacité d'améliorer la manière dont les gens se préparent collectivement afin d'éviter que les aléas ne se transforment en catastrophes.

"Thematically Analysing Social Network Content During Disasters Through the Lens of the Disaster Management Lifecycle" & "Investigating Similarity Between Privacy Policies of Social Networking Sites as a Precursor for Standardization"

Abstract 1: Social Networks such as Twitter are often used for disseminating and collecting information during natural disasters. The potential for its use in Disaster Management has been acknowledged. However, more nuanced understanding of the communications that take place on social networks are required to more effectively integrate this information into the processes within disaster management. The type and value of information shared should be assessed, determining the benefits and issues, with credibility and reliability as known concerns. Mapping the tweets in relation to the modelled stages of a disaster can be a useful evaluation for determining the benefits/drawbacks of using data from social networks, such as Twitter, in disaster management.A thematic analysis of tweets’ content, language and tone during the UK Storms and Floods 2013/14 was conducted. Manual scripting was used to determine the official sequence of events, and classify the stages of the disaster into the phases of the Disaster Management Lifecycle, to produce a timeline. Twenty- five topics discussed on Twitter emerged, and three key types of tweets, based on the language and tone, were identified. The timeline represents the events of the disaster, according to the Met Office reports, classed into B. Faulkner’s Disaster Management Lifecycle framework. Context is provided when observing the analysed tweets against the timeline. This illustrates a potential basis and benefit for mapping tweets into the Disaster Management Lifecycle phases. Comparing the number of tweets submitted in each month with the timeline, suggests users tweet more as an event heightens and persists. Furthermore, users generally express greater emotion and urgency in their tweets.This paper concludes that the thematic analysis of content on social networks, such as Twitter, can be useful in gaining additional perspectives for disaster management. It demonstrates that mapping tweets into the phases of a Disaster Management Lifecycle model can have benefits in the recovery phase, not just in the response phase, to potentially improve future policies and activities. Abstract2: The current execution of privacy policies, as a mode of communicating information to users, is unsatisfactory. Social networking sites (SNS) exemplify this issue, attracting growing concerns regarding their use of personal data and its effect on user privacy. This demonstrates the need for more informative policies. However, SNS lack the incentives required to improve policies, which is exacerbated by the difficulties of creating a policy that is both concise and compliant. Standardization addresses many of these issues, providing benefits for users and SNS, although it is only possible if policies share attributes which can be standardized. This investigation used thematic analysis and cross- document structure theory, to assess the similarity of attributes between the privacy policies (as available in August 2014), of the six most frequently visited SNS globally. Using the Jaccard similarity coefficient, two types of attribute were measured; the clauses used by SNS and the coverage of forty recommendations made by the UK Information Commissioner’s Office. Analysis showed that whilst similarity in the clauses used was low, similarity in the recommendations covered was high, indicating that SNS use different clauses, but to convey similar information. The analysis also showed that low similarity in the clauses was largely due to differences in semantics, elaboration and functionality between SNS. Therefore, this paper proposes that the policies of SNS already share attributes, indicating the feasibility of standardization and five recommendations are made to begin facilitating this, based on the findings of the investigation.

Natural disaster accounting bias and its equivalence across genetic resource stocks

Two sources of bias arise in conventional loss predictions in the wake of natural disasters. One source of bias stems from neglect of accounting for animal genetic resource loss. A second source of bias stems from failure to identify, in addition to the direct effects of such loss, the indirect effects arising from implications impacting animal-human interactions. We argue that, in some contexts, the magnitude of bias imputed by neglecting animal genetic resource stocks is substantial. We show, in addition, and contrary to popular belief, that the biases attributable to losses in distinct genetic resource stocks are very likely to be the same. We derive the formal equivalence across the distinct resource stocks by deriving an envelope result in a model that forms the mainstay of enquiry in subsistence farming and we validate the theory, empirically, in a World-Society-for-the-Protection-of-Animals application

On the environmental valuation of catastrophe: revisiting mining disasters in the United Kingdom, 1851-1962

In the context of environmental valuation of natural disasters, an important component of the evaluation procedure lies in determining the periodicity of events. This paper explores alternative methodologies for determining such periodicity, illustrating the advantages and the disadvantages of the separate methods and their comparative predictions. The procedures employ Bayesian inference and explore recent advances in computational aspects of mixtures methodology. The procedures are applied to the classic data set of Maguire et al (Biometrika, 1952) which was subsequently updated by Jarrett (Biometrika, 1979) and which comprise the seminal investigations examining the periodicity of mining disasters within the United Kingdom, 1851-1962.

Demographics of Natural Disaster Hotspots in Maine

Natural disasters can cause extensive damage to communities and infrastructure. The state of Maine is fairly lucky because natural disasters are relatively infrequent. Maine does, however, experience earthquakes, flooding, hurricanes, and landslides. Certain areas of the state are more prone to experience natural disaster than others. Using GIS analysis, we are analyzing natural disaster hotspots in Maine to determine if there is a statistically significant relationship between natural disaster susceptibility and socioeconomic variables including income and population.

A methodological approach to gender analysis in natural disaster assessment: a guide for the Caribbean

Includes bibliography

Environmental value, valuation methods, and natural disaster damage assessment

Includes bibliography

Report on the workshop on damage and loss assessment and the impact of disasters in Belize

Includes bibliography

Lifelines in case of Natural Disaster Emergencies

In order to handle Natural disasters, emergency areas are often individuated over the territory, close to populated centres. In these areas, rescue services are located which respond with resources and materials for population relief. A method of automatic positioning of these centres in case of a flood or an earthquake is presented. The positioning procedure consists of two distinct parts developed by the research group of Prof Michael G. H. Bell of Imperial College, London, refined and applied to real cases at the University of Bologna under the coordination of Prof Ezio Todini. There are certain requirements that need to be observed such as the maximum number of rescue points as well as the number of people involved. Initially, the candidate points are decided according to the ones proposed by the local civil protection services. We then calculate all possible routes from each candidate rescue point to all other points, generally using the concept of the "hyperpath", namely a set of paths each one of which may be optimal. The attributes of the road network are of fundamental importance, both for the calculation of the ideal distance and eventual delays due to the event measured in travel time units. In a second phase, the distances are used to decide the optimum rescue point positions using heuristics. This second part functions by "elimination". In the beginning, all points are considered rescue centres. During every interaction we wish to delete one point and calculate the impact it creates. In each case, we delete the point that creates less impact until we reach the number of rescue centres we wish to keep.

S. 1350, the Natural Disaster Protection Act : hearing before the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Third Congress, second session, May 26, 1994.

Mode of access: Internet.

A Summary of natural hazard deaths for 1991 in the United States.

Mode of access: Internet.

Regional growth, structural change, and natural disaster

Hurricanes, earthquakes, floods, and other serious natural hazards have been attributed with causing changes in regional economic growth, income, employment, and wealth. Natural disasters are said to cause; (1) an acceleration of existing economic trends; (2) an expansion of employment and income, due to recovery operations (the so-called silver lining); and (3) an alteration in the structure of regional economic activity due to changes in "intra" and "inter" regional trading patterns, and technological change.^ Theoretical and stylized disaster simulations (Cochrane 1975; Haas, Cochrane, and Kates 1977; Petak et al. 1982; Ellson et al. 1983, 1984; Boisvert 1992; Brookshire and McKee 1992) point towards a wide scope of possible negative and long lasting impacts upon economic activity and structure. This work examines the consequences of Hurricane Andrew on Dade County's economy. Following the work of Ellson et al. (1984), Guimaraes et al. (1993), and West and Lenze (1993; 1994), a regional econometric forecasting model (DCEFM) using a framework of "with" and "without" the hurricane is constructed and utilized to assess Hurricane Andrew's impact on the structure and level of economic activity in Dade County, Florida.^ The results of the simulation exercises show that the direct economic impact associated with Hurricane Andrew on Dade County is of short duration, and of isolated sectoral impact, with impact generally limited to construction, TCP (transportation, communications, and public utilities), and agricultural sectors. Regional growth, and changes in income and employment reacted directly to, and within the range and direction set by national economic activity. The simulations also lead to the conclusion that areal extent, infrastructure, and sector specific damages or impacts, as opposed to monetary losses, are the primary determinants of a disaster's effects upon employment, income, growth, and economic structure. ^