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Urban expansion is a spatio-temporal process that reflects the localization patterns of the population and its activities, which can cause irreversible impacts on the territory. The construction of narratives and the subsequent mapping of future scenarios has been revealed as a planning technique, which can help in the management and planning of land use and transport. The Corridor of Henares (Madrid) has been chosen as a case study, representing the spatial evolution of five urban land uses in three disruptive scenarios for 2050. The present research aims to determine which explanatory factors influenced the process of spatialization of the five uses that was projected in a previous mapping workshop. In this way, the aim is to provide more precise information about the driving factors of use changes in each scenario, which could later be applied to new spatial models of urban simulation. Thus, given the ubiquitous nature of urbanization processes, Geographically Weighted Logistic Regression (GWLR) was used as it enables a spatial analysis of the relationships between the explanatory factors that global models do not allow to study. The outcomes showed coincidences between the most significant factors of the model and the scenario narratives. [ABSTRACT FROM AUTHOR]

This study aims to establish the value-added as a quality indicator of an academic program taking into account two times of the students' academic life, from a cohort and a reasoned explanation built of this assessment including the contribution by the university. With this, a fairer assessment of the academic achievement is intended, and then its magnitude is compared with the other universities offering the same academic program mode. The methodology implemented is a quantitative-correlational approach, which involved 2013-2 cohort students using data collected by ICFES through census tests, Saber 11 and Saber PRO. From the analysis of this information, the identification of the academic achievement of the university was prioritized. Next, the definition of the main components of the socioeconomic and sociocultural variables; the variables correlation regarding academic achievement was performed and their interactions calculated by determining the linear correlation between variables and their power. This information explains the contribution of each one of the factors regarding the academic achievement. [ABSTRACT FROM AUTHOR]

Based on a survey of international literature, this paper proposes the classification of citizens' preferences for redistribution in three categories that shape those preferences: imperatives of social justice, risk aversion and the institutional framework. With the data provided by the «Spanish Institute for Fiscal Studies Fiscal Barometer » an empirical application for the Spanish case is carried out. We use a probit model when the endogenous variable is dichotomized, and a linear model estimated through ordinary least squares when the dependent variable is an index constructed by principal components. The results, consistent with the theory and international experience, show that the preferences under study, homogeneously distributed throughout the country, are based on the three described determinants. In particular most of the variables are significantly associated with the description of the institutional framework. [ABSTRACT FROM AUTHOR]