60 research outputs found

    Um modelo para análise socioeconômica da criminalidade no município de Aracaju

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    Este trabalho tem por objetivo investigar as razões socioeconômicas da criminalidade em Aracaju, a partir de fontes primárias e secundárias de informação. Para tanto, parte-se de uma análise teórica, na qual foram identificadas quatro hipóteses explicativas para a criminalidade: (i) ato racional deliberado; (ii) relacionada com o ciclo econômico; (iii) decorrente da maior desigualdade social existente na economia contemporânea e; (iv) não diretamente relacionada com variáveis socioeconômicas. A seção seguinte descreve a metodologia empregada para a construção do banco de dados e para a análise por meio de regressão do tipo stepwise. Na última seção são apresentados os resultados: o modelo explica 90% do comportamento dos crimes contra o patrimônio, e as variáveis responsáveis por tal comportamento são: a concentração de renda, características da infra-estrutura existente nos bairros, a baixa densidade demográfica e a menor participação dos jovens no total da população.________________________________________________________________________________________ ABSTRACT: This paper aims to investigate the socioeconomic reasons of criminality in Aracaju/SE, using primary and secondary sources of information. Beginning with a theoretical analysis, we identified four hyphotesis to the criminality which are: (i) a deliberated rational action; (ii) related to the economic cycle; (iii) consequence of the growing social inequality in the contemporary economy and (iv) not directly related to the socioeconomic reasons. The next section describes the methodology employed to construct the database and for analysis through stepwise regression. The results are presented in the last section: our model explains 90% of the property crime behavior, mainly due: income inequality, existing characteristics of infrastructure in the city districts, low demographic density and low rate of youths participation in the whole population

    Sustainability aspects related to preservation of historical buildings: a case of intervention

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    An approach to sustainable intervention on historic buildings is proposed and applied to a case of study, the Church of Santa Maria in Villa in Palestrina. The building presents different forms of degradation including a large amount of moisture in the masonry, widespread salt efflorescence, but above all, floor surface dew. Methodology involves the use of on-site ambient measurements and dynamic simulation to better understand the microclimatic phenomena causing degradation. After a careful historical investigation, an environmental monitoring campaign was carried on, from June 2015 to January 2016 and data analysis was conducted according to European standards for cultural heritage preservation. Dynamic simulation was applied considering heat and moisture transfer through the church envelope. Possible presence of liquid water in the walls did not allow to fully calibrate the simulation model but the investigation was useful to confirm observations. Some interventions have been proposed based on the survey carried on

    Thermal performance analysis of an emergency shelter using dynamic building simulation

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    This work has the purpose to analyze thermal performance of emergency shelters with the aim to develop different solutions which can improve the internal environmental conditions, in accordance to the parameters that describe thermo-hygrometric comfort, to the materials of which they are generally made of and to the climatic conditions under which they may be exposed. The object of the study was a tent equipped with a photovoltaic system produced by CHOSE (Center for Hybrid and Organic Solar Energy) at the University of Rome Tor Vergata. Through the use of the software IDA Indoor Climate and Energy 4.5, a simulation model was built based on experimental data collected from May 7 to May 15, 2013; model calibration was carried out comparing the simulation with the experimental data and the model was used for the formulation of different improvement solutions. The shelter model was analyzed in two different Italian climatic conditions using climatic data from Torino (winter) and Palermo (summer). The suggested optimization solutions were proven to be useful to improve the indoor climate and energy needs of the unit. The procedure can be applied to various climatic conditions and to different locations
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