MODOS DE MOVILIDAD DE LOS NIÑOS Y NIÑAS EN EDAD ESCOLAR: EXPLORACIÓN DE LA INCIDENCIA DE EDAD ESCOLAR: EXPLORACIÓN DE LA INCIDENCIA DE FACTORES SOCIOECONÓMICOS, DE PERCEPCIÓN Y DE FACTORES SOCIOECONÓMICOS, DE PERCEPCIÓN Y DE MESOESCALA URBANA UTILIZANDO RANDOM FOREST MESOESCALA URBANA UTILIZANDO RANDOM

El análisis y comprensión de la incidencia de los factores socioeconómicos, de percepción y de mesoescala urbana sobre los modos de movilidad de los niños y niñas en edad escolar es fundamental para fomentar el uso de modos más sustentables. Este estudio explora la relación entre factores socioeconómicos, de percepción y de mesoescala urbana sobre los modos de movilidad diaria de niñosy niñas en edad escolar (6 a 12 años) en la ciudad intermedia de Cuenca (Ecuador, América Latina). Se utilizó la herramienta Random Forest, como método de aprendizaje automático supervisado, para clasifcar los modos de movilidad en: “caminar”, “autobús” y “automóvil”, y para identifcar la importancia de los factores en cada modo. Los datos se obtuvieron de una encuesta de movilidad realizada en hogares de Cuenca en el 2019. A pesar de que buseta es un modo de movilidad usual para escolares, no pudo ser considerado en este estudio ya que no se contemplaba en la encuesta original utilizada. Los resultados mostraron que el mejor modelo para los modos de movilidad “caminar” y “autobús” fue con todos los grupos de factores (socioeconómicos, de percepción y de mesoescala urbana), mientras que para “automóvil”, como se esperaba, fue el modelo con factores socioeconómicos el más relevante. Si bien los factores más importantes fueron el número de vehículos por familia y nivel socioeconómico, también encontramos que los factores de percepción son relevantes para incentivar el caminar como un modo de movilidad cotidiana . Del mismo modo, para fomentar el uso del autobús, deben tenerse en cuenta los factores urbanos de mesoescala. Este estudio aporta datos y un enfoque metodológico para contribuir a la política pública en materia de movilidad activa en edad escolar. Palabras clave: Modos de movilidad, niños y niñas de 6 a 12 años, factores de mesoescala urbana, Random Forest. AbstractAnalyzing and understanding the incidence of socioeconomic, perception and urban mesoscale factors on mobility modes of school-age children is essential to motivate a more sustainable mobility. This study explores the relationship between socioeconomic, perception and urban mesoscale factors on the daily mobility modes of school-age boys and girls (6 to 12 years old) in the intermediatesized city of Cuenca (Ecuador, Latin America). Random Forest, as a classifcation machine learning method, was used to classify the mobility modes into walk, bus and car, and to identify factor importance in each mode. The data were obtained from amobility survey carried out on Cuenca households in 2019. Even if school bus is a usual mobility mode for schoolchildren, it could not be accounted in this study because it was not contained in the original survey. The results showed that the best model for walk andbus mobility modes was with all the factor groups, while for Car, as expected, was the socioeconomic model. Even if the most important factors were cars´ number per family and socioeconomic level, we also found that, in order to encourage walkingas the mobility mode, the perception factors are relevant. Similarly, in order to encourage bus mobility mode, the urban mesoscale factors should be accounted for. This study contributes with data and a methodological approach that could infuence public policy regarding scholar-aged active mobility. Keywords: Mobility Modes, children 6 to 12 years old, urban mesoscale factors, Random Forest.

Exploring Urgent Non-Pharmacological and Socioeconomic Interventions for the COVID 19 Epidemic in Spain

Non-pharmacological interventions in the fight against COVID 19 include: a) suppression, which facilitates its extinction; and b) mitigation, which reduces its speed of spread. Left unmitigated, the intensive care unit bed capacity (ICU) is exceeded over its maximum supply, resulting in increased deaths. Suppression has shown in simulation models the potential for decreasing ICU occupation below its surge limit, effectively decreasing mortality. However, for avoiding a rebound in transmission, suppression must be maintained intermittently until a vaccine is available (which may take up to 2 years). The objective of this paper was to describe the mortality patterns observed in Spain, Italy and South Korea for discussing a hypothetical combined public health policy and socioeconomic model that could potentially reduce mortality while reducing the economic impact of this pandemic in Spain. The plan is based on a progressive-voluntary reinstatement to work of the population exposed to the lowest risks (healthy non-immune family units <50 y/o and immune population) and it depends on having sufficiently available ICU beds for providing adequate support. This model, if proven correct for Spain, could eventually be followed by other countries facing a similar impact of the present pandemic.

Exploring Urgent Non-Pharmacological and Socioeconomic Interventions for the COVID 19 Epidemic in Spain

Non-pharmacological interventions in the fight against COVID 19 include: a) suppression, which facilitates its extinction; and b) mitigation, which reduces its speed of spread. Left unmitigated, the intensive care unit bed capacity (ICU) is exceeded over its maximum supply, resulting in increased deaths. Suppression has shown in simulation models the potential for decreasing ICU occupation below its surge limit, effectively decreasing mortality. However, for avoiding a rebound in transmission, suppression must be maintained intermittently until a vaccine is available (which may take up to 2 years). The objective of this paper was to describe the mortality patterns observed in Spain, Italy and South Korea for discussing a hypothetical combined public health policy and socioeconomic model that could potentially reduce mortality while reducing the economic impact of this pandemic in Spain. The plan is based on a progressive-voluntary reinstatement to work of the population exposed to the lowest risks (healthy non-immune family units <50 y/o and immune population) and it depends on having sufficiently available ICU beds for providing adequate support. This model, if proven correct for Spain, could eventually be followed by other countries facing a similar impact of the present pandemic.

How do community-level climate change vulnerability assessments treat future vulnerability and integrate diverse datasets? A review of the literature

Community-level vulnerability assessments (VAs) are important for understanding how populations experience vulnerabilities to climate change in different ways given local socioeconomic and environmental factors. Despite recent expansion in the literature that evaluates vulnerability at the local level, approaches to understanding future scenarios and to integrating climatic and nonclimatic factors are inconsistent and often lack clear methodological information. This study utilized systematic review methods to characterize and compare future scenarios and the integration of climatic and nonclimatic stimuli in community-focused VAs published over the last five years. Five common methods for assessing future dimensions of vulnerability were characterized. Key challenges regarding sources and scales of information were highlighted alongside methods to integrate data spanning climatic and nonclimatic information at scales ranging from local to global. The majority of VAs considered current and past vulnerability; few VAs incorporated future scenarios and these studies focused on future climatic conditions while largely overlooking changes in nonclimatic drivers of vulnerability. Approaches to evaluate future dimensions of vulnerability included climate model projections, socioeconomic model projections, temporal analogue approaches, longitudinal approaches, and local perceptions. These methods often failed to capture the dynamic interactions between variables through time, as future impacts are unlikely to follow previous patterns of change. To combine datasets of different scales, VAs created vulnerability indices, overlaid spatial datasets, or used expert judgement. These approaches tended to aggregate local characteristics to the regional level at the expense of community specificity. There is a need for methodological advances to assess future scenarios and to combine datasets in the field of community-level climate change VAs to make these studies more responsive to local realities and relevant to the development of climate change adaptation strategies.

um menino no mundo

This paper is the result of encounters with cinema in a course entitled Cultural Activities, a required class in the undergraduate education program of the School of Education at Brazil’s Fluminense Federal University. The goal was to produce aesthetic experiences with the moving images of cinematic language that would go beyond the usual didactic and utilitarian ways of exemplifying course content. We counted on the power of moving images to produce affective images, an aesthetic device that drives the relation between thought and language, thereby contributing to a pause in time, thereby allowing us the opportunity to examine more carefully the existential human condition as historically constituted in the world today. This paper was thus the result of using cinema as a tool of social analysis and a methodological resource for the training of undergraduate education students. The cinematic artifact presented here is an animated feature whose story unfolds through the eyes of a child confronting a world tainted by the misfortunes of capitalism. For theoretical support, we focus on authors who analyze the capitalist political and socioeconomic model and its effects on the human condition. Through O menino e o mundo, a student and teacher share their different, but nonetheless powerful, ideas about the field of education, work, and the consumerism and alienation that result from current modes of production. It is particularly important to emphasize that the paper itself is a byproduct of the methodological approach of the course.

Model of Socioeconomic Development Based on Market Economy and Public-Private Partnership (PPP) Mechanism

This chapter systematizes the main components of the socio-market model of the economy. Its basis is formed by market economy and public-private partnership as the mechanism stimulating the attraction of private investments. Using the opportunities of the market economy and PPP mechanism creates a real opportunity for the formation of a new model of socio-market economy. This model does not imply the weakening the role of the state and infringement of democracy as such, but rather strengthening of institutions and PPP mechanisms with the aim to attract private investments and improve social relations at the same time. This chapter is thus aimed at revealing the main elements of this socioeconomic model along with the theoretical, methodological, and practical aspects of its main components: the market economy and the PPP mechanisms.