Development of mathematical models to elaborate strategies, select alternatives and development of plans for adaptation of communities to climate change in different geographical areas including costs to implement it.

There is evidence that the climate changes and that now, the change is influenced and accelerated by the CO2 augmentation in atmosphere due to combustion by humans. Such ?Climate change? is on the policy agenda at the global level, with the aim of understanding and reducing its causes and to mitigate its consequences. In most countries and international organisms UNO (e.g. Rio de Janeiro 1992), OECD, EC, etc . . . the efforts and debates have been directed to know the possible causes, to predict the future evolution of some variable conditioners, and trying to make studies to fight against the effects or to delay the negative evolution of such. The Protocol of Kyoto 1997 set international efforts about CO2 emissions, but it was partial and not followed e.g. by USA and China . . . , and in Durban 2011 the ineffectiveness of humanity on such global real challenges was set as evident. Among all that, the elaboration of a global model was not boarded that can help to choose the best alternative between the feasible ones, to elaborate the strategies and to evaluate the costs, and the authors propose to enter in that frame for study. As in all natural, technological and social changes, the best-prepared countries will have the best bear and the more rapid recover. In all the geographic areas the alternative will not be the same one, but the model must help us to make the appropriated decision. It is essential to know those areas that are more sensitive to the negative effects of climate change, the parameters to take into account for its evaluation, and comprehensive plans to deal with it. The objective of this paper is to elaborate a mathematical model support of decisions, which will allow to develop and to evaluate alternatives of adaptation to the climatic change of different communities in Europe and Latin-America, mainly in especially vulnerable areas to the climatic change, considering in them all the intervening factors. The models will consider criteria of physical type (meteorological, edaphic, water resources), of use of the ground (agriculturist, forest, mining, industrial, urban, tourist, cattle dealer), economic (income, costs, benefits, infrastructures), social (population), politician (implementation, legislation), educative (Educational programs, diffusion) and environmental, at the present moment and the future. The intention is to obtain tools for aiding to get a realistic position for these challenges, which are an important part of the future problems of humanity in next decades.

Development of mathematical models to elaborate strategies, to select alternatives and the development of plans for the adaptation of communities to climate change in different geographical areas including costs to implement it

Climate change is on the policy agenda at the global level, with the aim of understanding and reducing its causes and to mitigate its consequences. In most of the countries and international organisms UNO, OECD, EC, etc … the efforts and debates have been directed to know the possible causes, to predict the future evolution of some variable conditioners, and trying to make studies to fight against the effects or to delay the negative evolution of such. Nevertheless, the elaboration of a global model was not boarded that can help to choose the best alternative between the feasible ones, to elaborate the strategies and to evaluate the costs. As in all natural, technological and social changes, the best-prepared countries will have the best bear and the more rapid recover. In all the geographic areas the alternative will not be the same one, but the model should help us to make the appropriated decision. It is essential to know those areas that are more sensitive to the negative effects of climate change, the parameters to take into account for its evaluation, and comprehensive plans to deal with it. The objective of this paper is to elaborate a mathematical model support of decisions, that will allow to develop and to evaluate alternatives of adaptation to the climatic change of different communities in Europe and Latin-America, mainly, in vulnerable areas to the climatic change, considering in them all the intervening factors. The models will take into consideration criteria of physical type (meteorological, edaphic, water resources), of use of the ground (agriculturist, forest, mining, industrial, urban, tourist, cattle dealer), economic (income, costs, benefits, infrastructures), social (population), politician (implementation, legislation), educative (Educational programs, diffusion), sanitary and environmental, at the present moment and the future.

Dominance intensity methods for ranking of alternatives in mcdm with imprecise information

Los decisores cada vez se enfrentan a problemas más complejos en los que tomar una decisión implica tener que considerar simultáneamente muchos criterios que normalmente son conflictivos entre sí. En la mayoría de los problemas de decisión es necesario considerar criterios económicos, sociales y medioambientales. La Teoría de la Decisión proporciona el marco adecuado para poder ayudar a los decisores a resolver estos problemas de decisión complejos, al permitir considerar conjuntamente la incertidumbre existente sobre las consecuencias de cada alternativa en los diferentes atributos y la imprecisión sobre las preferencias de los decisores. En esta tesis doctoral nos centramos en la imprecisión de las preferencias de los decisores cuando éstas pueden ser representadas mediante una función de utilidad multiatributo aditiva. Por lo tanto, consideramos imprecisión tanto en los pesos como en las funciones de utilidad componentes de cada atributo. Se ha considerado el caso en que la imprecisión puede ser representada por intervalos de valores o bien mediante información ordinal, en lugar de proporcionar valores concretos. En este sentido, hemos propuesto métodos que permiten ordenar las diferentes alternativas basados en los conceptos de intensidad de dominación o intensidad de preferencia, los cuales intentan medir la fuerza con la que cada alternativa es preferida al resto. Para todos los métodos propuestos se ha analizado su comportamiento y se ha comparado con los más relevantes existentes en la literatura científica que pueden ser aplicados para resolver este tipo de problemas. Para ello, se ha realizado un estudio de simulación en el que se han usado dos medidas de eficiencia (hit ratio y coeficiente de correlación de Kendall) para comparar los diferentes métodos. ABSTRACT Decision makers increasingly face complex decision-making problems where they have to simultaneously consider many often conflicting criteria. In most decision-making problems it is necessary to consider economic, social and environmental criteria. Decision making theory provides an adequate framework for helping decision makers to make complex decisions where they can jointly consider the uncertainty about the performance of each alternative for each attribute, and the imprecision of the decision maker's preferences. In this PhD thesis we focus on the imprecision of the decision maker's preferences represented by an additive multiattribute utility function. Therefore, we consider the imprecision of weights, as well as of component utility functions for each attribute. We consider the case in which the imprecision is represented by ranges of values or by ordinal information rather than precise values. In this respect, we propose methods for ranking alternatives based on notions of dominance intensity, also known as preference intensity, which attempt to measure how much more preferred each alternative is to the others. The performance of the propose methods has been analyzed and compared against the leading existing methods that are applicable to this type of problem. For this purpose, we conducted a simulation study using two efficiency measures (hit ratio and Kendall correlation coefficient) to compare the different methods.

COST Action Urban Agriculture Europe Training School «Urban agriculture inside the city:alternatives for vacant lots and public space»

The third Training School of the Action took place in Vitoria-Gasteiz (Basque country, Spain) from 24th to 26th September 2014. Vitoria-Gateiz has experimented an important urban outgrowth in the last decade, mainly through the planning and development of two new neighborhoods, Zabalgana and Salburúa, situated at the eastern and western border of the city, by the Greenbelt. These new development are well-equipped and designed according to sustainability principles. Nevertheless, among the main problems they present is their over-dimensioned public space, which creates some areas lacking enough density and mix of uses. On the other hand it is very expensive for the municipality to maintain these public space with the high Vitorian urban standards for public space. The proposed solution for this problem is a strategy of "re-densification" through the insertion of new uses The debate has arisen about which are the most adequate uses to insert in order to get an increasing of urban vitality, specially considering that housing has reached its peak and that Vitoria-Gasteiz is well served with social and sport amenities. The main goal of the TS was to offer an opportunity for the reflection about how urban agriculture might be an optimal alternative for the re-qualifying of this over-dimensioned public space in the new neighbourhoods, especially considering it synergic potential as a tool for production, leisure and landscaping, including the possibility of energy crops within the limits of urban space. Continuity with rural and natural surrounding area through alternatives for urban fringe at the small scale is a relevant issue to be considered as well within the reflection. Taking Zabalgana neighbourhood as a practical field for experiment, the Training School is conceived as a practical and intensive design charrette to be held during a whole day after two days of local knowledge-deepening through field visits and presentations.

Incorporating Group Recommendations to Recommender Systems: Alternatives and Performance

La importancia de los sistemas de recomendación ha experimentado un crecimiento exponencial como consecuencia del auge de las redes sociales. En esta tesis doctoral presentaré una amplia visión sobre el estado del arte de los sistemas de recomendación. Incialmente, estos estaba basados en fitrado demográfico, basado en contendio o colaborativo. En la actualidad, estos sistemas incorporan alguna información social al proceso de recomendación. En el futuro utilizarán información implicita, local y personal proveniente del Internet de las cosas. Los sistemas de recomendación basados en filtrado colaborativo se pueden modificar con el fin de realizar recomendaciones a grupos de usuarios. Existen trabajos previos que han incluido estas modificaciones en diferentes etapas del algoritmo de filtrado colaborativo: búsqueda de los vecinos, predicción de las votaciones y elección de las recomendaciones. En esta tesis doctoral proporcionaré un nuevo método que realizar el proceso de unficación (pasar de varios usuarios a un grupo) en el primer paso del algoritmo de filtrado colaborativo: cálculo de la métrica de similaridad. Proporcionaré una formalización completa del método propuesto. Explicaré cómo obtener el conjunto de k vecinos del grupo de usuarios y mostraré cómo obtener recomendaciones usando dichos vecinos. Asimismo, incluiré un ejemplo detallando cada paso del método propuesto en un sistema de recomendación compuesto por 8 usuarios y 10 items. Las principales características del método propuesto son: (a) es más rápido (más eficiente) que las alternativas proporcionadas por otros autores, y (b) es al menos tan exacto y preciso como otras soluciones estudiadas. Para contrastar esta hipótesis realizaré varios experimentos que miden la precisión, la exactitud y el rendimiento del método. Los resultados obtenidos se compararán con los resultados de otras alternativas utilizadas en la recomendación de grupos. Los experimentos se realizarán con las bases de datos de MovieLens y Netflix. ABSTRACT The importance of recommender systems has grown exponentially with the advent of social networks. In this PhD thesis I will provide a wide vision about the state of the art of recommender systems. They were initially based on demographic, contentbased and collaborative filtering. Currently, these systems incorporate some social information to the recommendation process. In the future, they will use implicit, local and personal information from the Internet of Things. As we will see here, recommender systems based on collaborative filtering can be used to perform recommendations to group of users. Previous works have made this modification in different stages of the collaborative filtering algorithm: establishing the neighborhood, prediction phase and determination of recommended items. In this PhD thesis I will provide a new method that carry out the unification process (many users to one group) in the first stage of the collaborative filtering algorithm: similarity metric computation. I will provide a full formalization of the proposed method. I will explain how to obtain the k nearest neighbors of the group of users and I will show how to get recommendations using those users. I will also include a running example of a recommender system with 8 users and 10 items detailing all the steps of the method I will present. The main highlights of the proposed method are: (a) it will be faster (more efficient) that the alternatives provided by other authors, and (b) it will be at least as precise and accurate as other studied solutions. To check this hypothesis I will conduct several experiments measuring the accuracy, the precision and the performance of my method. I will compare these results with the results generated by other methods of group recommendation. The experiments will be carried out using MovieLens and Netflix datasets.

Evaluating the spatial and social equity effects of road pricing in the European urban context: the Madrid Metropolitan Area.

The paper explores the spatial and social impacts arising from implementation of a road-pricing scheme in the Madrid Metropolitan Area (MMA). Our analytical focus is on understanding the effects of the scheme on the transport accessibility of different social groups within the MMA. We define an evaluation framework to appraise the accessibility of different districts within the MMA in terms of the actual and perceived cost of using the road infrastructure "before" and "after" the implementation of the scheme. The framework was developed using quantitative survey data and qualitative data from focus group discussions with residents. We then simulated user behaviors (mode and route choice) based on the empirical evidence from a travel demand model for the MMA. The results from our simulation model demonstrated that implementation of the toll on the orbital metropolitan motorways (M40, M30, for example) decreases accessibility, mostly in the districts where there are no viable public transport alternatives. Our key finding is that the economic burden of the road-pricing scheme particularly affects unskilled and lower income individuals living in the south of the MMA. Consequently lower income people reduce their use of tolled roads and have to find new arrangements for these trips: i.e. switch to the public transport, spend double the time for their commuter trips or stay at home. The results of our research could be applicable more widely for anyone wishing to better understand the important relationship between increased transport cost and social equity, especially where there is an intention to introduce similar road-pricing schemes within the urban context.

Gender differences of the spanish adult population in barriers to active living

Social research on the needs, barriers and innovations in sport and physical activities to adult women in Spain

Barreras para la práctica de actividad física y deportiva en las personas adultas de la Comunidad de Madrid. Desarrollo y validación de un instrumento

El propósito de este estudio fue la construcción y validación de un instrumento de medición de barreras a la práctica de la actividad física y deportiva por parte de las personas adultas desde la teoría ecológico social y analizar la presencia de las diferentes barreras así como las innovaciones y alternativas de conciliación a las barreras relacionadas con el empleo, el cuidado de hijos e hijas y las tareas del hogar, identificando las posibles diferencias existentes en función del género y del tipo de demanda en la población adulta de la Comunidad de Madrid. Se ha realizado un estudio cuantitativo, descriptivo y transversal en una muestra representativa de la población residente en la Comunidad de Madrid entre 30 y 64 años. El tipo de muestreo fue probabilístico, de tipo polietápico según tamaño demográfico de municipio y género, con un margen de error del ± 5,27% y un intervalo de confianza del 95,5%. El tamaño de la muestra final fue de 360 personas (50,3% mujeres, 49,7% hombres), quienes completaron un cuestionario estructurado mediante entrevista personal cara a cara en su domicilio entre octubre y diciembre de 2011, que incluía una escala de barreras específica, así como sub-cuestionarios de innovaciones y alternativas de conciliación vinculados a los tres ítems relacionados con el empleo, cuidado de hijos e hijas y hogar de la escala de barreras. La escala de barreras fue completada por las personas practicantes de actividad física y deportiva que deseaban realizar otra actividad, es decir, por la Demanda Establecida, así como por las personas no practicantes pero deseosas de hacerlo o Demanda Latente, y las personas no practicantes no interesadas en practicar o Demanda Ausente (n=246). Las personas que alcanzaron elevadas puntuaciones en los tres ítems de la escala de barreras vinculados al empleo, cuidado de hijos e hijas y hogar, completaron sub-cuestionarios específicos de innovaciones y alternativas de conciliación vinculados a estas barreras. Para el estudio métrico de los ítems y la dimesionalidad de la escala de barreras se llevaron a cabo análisis descriptivos de los ítems, análisis correlacionales y análisis factoriales exploratorios (AFE). Como resultado se obtuvo una escala de barreras constituida por 13 ítems que explicaron el 59,1% de la variabilidad total de los datos, agrupados en cuatro dimensiones denominadas: Barreras Interpersonales (2 ítems), Barreras Individuales (4 ítems), Barreras Comunidad-Institucionales (4 ítems) y Barreras Obligaciones-Tiempo (3 ítems). Los datos de la escala de barreras y los sub-cuestionarios de innovaciones y alternativas de conciliación fueron analizados con el SPSS v. 18. Para la comparación de variables cuantitativas y ordinales se utilizaron ANOVAS de dos factores (género por tipo de demanda), el tamaño del efecto para esta prueba se cuantificó mediante eta cuadrado. Los resultados se expresaron como porcentajes para las variables nominales y como medias y desviaciones típicas para las variables ordinales y cuantitativas. El nivel de riesgo se fijó en 0,05. El instrumento presentó una fiabilidad aceptable (α=0,58) en consonancia con el modelo ecológico social presentando dimensiones que explicaron los niveles de influencia de las diferentes esferas. Los resultados obtenidos permitieron avalar tanto la adecuación de las propiedades psicométricas de los ítems, así como la validez y fiabilidad de la escala de barreras para la práctica de actividad física y deportiva. Los distintos análisis realizados han aportado evidencia de la validez de una estructura de cuatro dimensiones acorde a los planteamientos teóricos previos de los modelos ecológicos sociales. En la dimensión barreras Individuales se identificaron diferencias según el tipo de demanda (F2,237=40,28; p<0,001; η2=0,25) y el género (F1,237=8,72; p<0,01; η2=0,84). En la dimensión barreras Interpersonales se identificaron diferencias de género (F1,239 =14,9; p<0,01; η2=0,06) pero no entre demandas (F2,239=2,35; p>0,05; 1-β=0,47). En la dimensión Barreras Obligaciones-Tiempo se identificaron diferencias en función del tipo de demanda (F2,239=3,88; p<0,05; η2=0,03) sin presentar diferencias entre hombres y mujeres (F1,239=1,06; p>0,05; 1-β=0,18). Por último, en la dimensión Comunidad Institucionales, se identificaron diferencias en función del tipo de demanda (F2,240=5,69; p<0,01; η2=0,045) y no hubo diferencias en función del género (F1,240=0,65; p>0,05; 1-β=0,13). Las innovaciones y alternativas de conciliación relacionadas con el empleo más valoradas fueron la de flexibilidad en los horarios de trabajo y adecuación de horarios; las más valoradas relacionadas con la barrera cuidado de hijos fueron que en la instalación deportiva se ofertaran actividades físicas conjuntas, en las en las que pudiesen participar madres e hijos y que la instalación deportiva ofreciera, en el mismo horario, actividades para ellos y sus hijos, y, por último, las más valoradas en relación con las tareas del hogar, una mayor implicación de la pareja seguida por una mayor implicación de los hijos. ABSTRACT The objectives of this study were to build and validate an instrument to measure the barriers of adult people to the practice of sport and physical activities from the perspective of the social-ecological theory, analyse the presence of the different barriers, as well as the innovations and alternatives regarding conciliation with work and the care of children and home as barriers, identifying the possible differences that exist based on gender and the type of demand of the adult population within the Community of Madrid. For this, a quantitative, descriptive and transversal study was carried out on a representative sample of the resident population of the Community of Madrid, ages ranging from 30 to 64 years old. Given that is an infinite or very large population, and working with an interval of confidence of the 95,5%, and assuming in the population variance, the worst case of p equal to q, the margin of sampling error was ± 5,27. The sample consisted of 360 people (50,3% women, 49,7% men), who completed a questionnaire during face-to-face personal interviews between October and December 2011. The questionnaire included a scale of specific barriers, as well as sub-questionnaires on the innovations and alternatives linked to the three items regarding work, the care of children and home of the barriers scale. The barriers scale was completed by people who practice physical and sport activities and wanted to do other activities, i.e. by the Established Demand; by people who do not practice these activities but would like to do so, i.e. Latent Demand; and by people who do not practice these activities and have no desire to do so, i.e. Absent Demand (n=246). The people who peaked on the three items of the barriers scale regarding work, the care of children and home, then completed specific sub-questionnaires on the innovations and alternatives for conciliation related to these barriers. The metric study of the items and the dimensionality of the barriers scale was carried out through descriptive analyses of the items, as well as correlation analyses and exploratory factor analyses (EFA). This resulted in a barriers scale composed of 13 items that explained 59,1% of the total variability of the data, grouped in four dimensions as follows: Interpersonal Barriers (2 items), Individual Barriers (4 items), Community-Institutional Barriers (4 items) and Obligations-Time Barriers (3 items). The data obtained from the barriers scale and sub-questionnaires on the innovations and alternatives for conciliation were analyzed using software SPSS v. 18. Two-way ANOVA (gender by type of demand) was used for the comparison of quantitative and ordinal variables, and the effect size for this test was quantified with eta squared. The results were expressed as percentages for nominal variables, and as means and standard deviations for quantitative and ordinal variables. The level of risk was set at 0,05. The instrument showed an acceptable reliability (α=0,58) in line with the social-ecological model, providing dimensions that explained the influence levels of the different spheres. The results obtained establish both the adaptation of the psychometric properties of the items, and the validity and reliability of the barriers scale for the practice of physical and sport activities. The different analyses have supported the validity of a four-dimensional structure consistent with the previous theoretical approaches on the social-ecological models, while showing adequate statistical indices. The differences identified in the Individual Barriers dimension were based on the type of demand (F2,237=40,28; p<0,001; η2=0,25) and gender (F1,237=8,72; p<0,01; η2=0,84). The differences identified in the Interpersonal Barriers dimension were based on gender (F1,239 =14,9; p<0,01; η2=0,06) but not on demand (F2,239=2,35; p>0,05; 1-β=0,47). The differences identified for the Obligations-Time Barriers dimension were based on the type of demand (F2,239=3,88; p<0,05; η2=0,03) and did not show differences between men and women (F1,239=1,06; p>0,05; 1-β=0,18). Finally, the differences identified for the Community-Institutional Barriers dimension were based on the type of demand (F2,240=5,69; p<0,01; η2=0,045) and provided no differences based on gender (F1,240=0,65; p>,05; 1-β=0,13). The most valued innovations and alternatives for conciliation regarding work were the adaptation and flexibility of working hours and timetables; the most valued related to the care of children were the offer of joint activities for adults and children in sport centres, as well as separate activities within the same timetable; and, finally, the most valued regarding the home was a higher degree of participation and involvement on the part of the spouse or partner, followed by a higher degree of participation and involvement on the part of the children.

Adults'Education and Agricultural Innovation: A Social Learning Approach

Social learning processes can be the basis of a method of agricultural innovation that involves expert and empirical knowledge. In this sense, the objective of this study was to determine the effectiveness and sustainability of an innovation process, understood as social learning, in a group of small farmers in the southern highlands of Peru. Innovative proposals and its permanence three years after the process finished were evaluated. It was observed that innovation processes generated are maintained over time; however, new innovations are not subsequently generated. We conclude that adult learning processes and innovation based on social learning are more effective and sustainable; however, the farmers internalization in innovation processes is given longer term.