583 resultados para planners


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Este trabajo coloca su foco de atención en la intervención de arquitectos, planificadores, urbanistas y ‘hacedores de ciudad’ en la creación de espacios de memoria sobre la última dictadura militar en la Argentina. A través del análisis de la creación del Parque de la Memoria en la Ciudad de Buenos Aires se mostrará cómo estos espacios se insertan en programas de reforma del espacio urbano que involucran desde dirigentes políticos en campaña electoral hasta la participación de expertos y especialistas en la gestión de la ciudad y cómo la intervención de este universo de agentes – y sus propias representaciones y lógicas de actuación – van a incidir en la manera en que estos espacios de memoria son concebidos, gestados e implementados. Mostraré cómo, dentro de este mundo de relaciones, la memoria y el olvido se vuelven categorías significativas en el marco de sus propias disputas por definir qué es la ciudad, quiénes pertenecen a ella y quiénes son los actores legítimos para intervenir en su definición. A través de esta intervención urbana - la creación del Parque de la Memoria - un área marginal de la ciudad ha sido convertida en un espacio sagrado para conmemorar a las víctimas del Terrorismo de Estado y en un paseo público donde los vecinos de la ciudad realizan diversas actividades recreativas.

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Las trayectorias laborales de los jóvenes se diversifican en función de las duraciones, las etapas y las edades en las que ocurren los acontecimientos y se alcanzan ciertos roles. Sin embargo, factores clásicos asociados al origen social o al mundo del trabajo no alcanzan para comprender la diferenciación en los modos de inserción. Este artículo propone la inclusión de las temporalidades juveniles como factor clave para la comprensión de trayectorias laborales de jóvenes. Las temporalidades juveniles sirven para observar conjuntamente los marcos temporales dominantes de la inserción y la manera en la que los mismos son vividos por los sujetos. Las mismas discuten las tesis que señalan que en Argentina los jóvenes son prisioneros de un presentismo sin proyecto o que se someten inevitablemente a un contexto laboral incierto. Cuatro tipo des temporalidades han emergido en el análisis cualitativo y longitudinal de las trayectorias : los "planificadores", los "ejecutantes", los "latentes" y los "oportunistas"

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Las trayectorias laborales de los jóvenes se diversifican en función de las duraciones, las etapas y las edades en las que ocurren los acontecimientos y se alcanzan ciertos roles. Sin embargo, factores clásicos asociados al origen social o al mundo del trabajo no alcanzan para comprender la diferenciación en los modos de inserción. Este artículo propone la inclusión de las temporalidades juveniles como factor clave para la comprensión de trayectorias laborales de jóvenes. Las temporalidades juveniles sirven para observar conjuntamente los marcos temporales dominantes de la inserción y la manera en la que los mismos son vividos por los sujetos. Las mismas discuten las tesis que señalan que en Argentina los jóvenes son prisioneros de un presentismo sin proyecto o que se someten inevitablemente a un contexto laboral incierto. Cuatro tipo des temporalidades han emergido en el análisis cualitativo y longitudinal de las trayectorias : los "planificadores", los "ejecutantes", los "latentes" y los "oportunistas"

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Las trayectorias laborales de los jóvenes se diversifican en función de las duraciones, las etapas y las edades en las que ocurren los acontecimientos y se alcanzan ciertos roles. Sin embargo, factores clásicos asociados al origen social o al mundo del trabajo no alcanzan para comprender la diferenciación en los modos de inserción. Este artículo propone la inclusión de las temporalidades juveniles como factor clave para la comprensión de trayectorias laborales de jóvenes. Las temporalidades juveniles sirven para observar conjuntamente los marcos temporales dominantes de la inserción y la manera en la que los mismos son vividos por los sujetos. Las mismas discuten las tesis que señalan que en Argentina los jóvenes son prisioneros de un presentismo sin proyecto o que se someten inevitablemente a un contexto laboral incierto. Cuatro tipo des temporalidades han emergido en el análisis cualitativo y longitudinal de las trayectorias : los "planificadores", los "ejecutantes", los "latentes" y los "oportunistas"

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This paper shows the role that some foresight tools, such as scenario design, may play in exploring the future impacts of global challenges in our contemporary Society. Additionally, it provides some clues about how to reinforce scenario design so that it displays more in-depth analysis without losing its qualitative nature and communication advantages. Since its inception in the early seventies, scenario design has become one of the most popular foresight tools used in several fields of knowledge. Nevertheless, its wide acceptance has not been seconded by the urban planning academic and professional realm. In some instances, scenario design is just perceived as a story telling technique that generates oversimplified future visions without the support of rigorous and sound analysis. As a matter of fact, the potential of scenario design for providing more in-depth analysis and for connecting with quantitative methods has been generally missed, giving arguments away to its critics. Based on these premises, this document tries to prove the capability of scenario design to anticipate the impacts of complex global challenges and to do it in a more analytical way. These assumptions are tested through a scenario design exercise which explores the future evolution of the sustainable development paradigm (SD) and its implications in the Spanish urban development model. In order to reinforce the perception of scenario design as a useful and added value instrument to urban planners, three sets of implications –functional, parametric and spatial— are displayed to provide substantial and in-depth information for policy makers. This study shows some major findings. First, it is feasible to set up a systematic approach that provides anticipatory intelligence about future disruptive events that may affect the natural environment and socioeconomic fabric of a given territory. Second, there are opportunities for innovating in the Spanish urban planning processes and city governance models. Third, as a foresight tool, scenario design can be substantially reinforced if proper efforts are made to display functional, parametric and spatial implications generated by the scenarios. Fourth, the study confirms that foresight offers interesting opportunities for urban planners, such as anticipating changes, formulating visions, fostering participation and building networks

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Why should a progressive planner/urbanist pay attention to the Spanish 15M movement? From a disciplinary standpoint, its most complex and interesting aspect, which could hypothetically be transferred to other contexts (as in fact happened in the Occupy Wall Street and Occupy London movements), is its 'spatiality'. This article analyses the spatial practices of the so called #spanishrevolution, one of the 2011 social movements that showed the possibility for a new collective appropriation and self-management (autogestion) of urban public space. Although the political goals of the movement were vague at the time of its inception, the practices and spatial imaginaries deployed by it have become consolidated and proven to be yet another of its more successful facets in promoting the spreading and organisation of the protest, making it a phenomenon that calls for reflection on the part of urban thinkers and planners.

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This paper focuses on the railway rolling stock circulation problem in rapid transit networks, in which frequencies are high and distances are relatively short. Although the distances are not very large, service times are high due to the large number of intermediate stops required to allow proper passenger flow. The main complicating issue is the fact that the available capacity at depot stations is very low, and both capacity and rolling stock are shared between different train lines. This forces the introduction of empty train movements and rotation maneuvers, to ensure sufficient station capacity and rolling stock availability. However, these shunting operations may sometimes be difficult to perform and can easily malfunction, causing localized incidents that could propagate throughout the entire network due to cascading effects. This type of operation will be penalized with the goal of selectively avoiding them and ameliorating their high malfunction probabilities. Critic trains, defined as train services that come through stations that have a large number of passengers arriving at the platform during rush hours, are also introduced. We illustrate our model using computational experiments drawn from RENFE (the main Spanish operator of suburban passenger trains) in Madrid, Spain. The results of the model, achieved in approximately 1 min, have been received positively by RENFE planners

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Survey Engineering curricula involves the integration of many formal disciplines at a high level of proficiency. The Escuela de Ingenieros en Topografía, Cartografía y Geodesia at Universidad Politécnica de Madrid (Survey Engineering) has developed an intense and deep teaching on so-called Applied Land Sciences and Technologies or Land Engineering. However, new approaches are encouraged by the European Higher Education Area (EHEA). This fact requires a review of traditional teaching and methods. Furthermore, the new globalization and international approach gives new ways to this discipline to teach and learn about how to bridge gap between cultures and regions. This work is based in two main needs. On one hand, it is based on integration of basic knowledge and disciplines involved in typical Survey Engineering within Land Management. On the other, there is an urgent need to consider territory on a social and ethical basis, as far as a part of the society, culture, idiosyncrasy or economy. The integration of appropriate knowledge of the Land Management is typically dominated by civil engineers and urban planners. It would be very possible to integrate Survey Engineering and Cooperation for Development in the framework of Land Management disciplines. Cooperation for Development is a concept that has changed since beginning of its use until now. Development projects leave an impact on society in response to their beneficiaries and are directed towards self-sustainability. Furthermore, it is the true bridge to reduce gap between societies when differences are immeasurable. The concept of development has also been changing and nowadays it is not a purely economic concept. Education, science and technology are increasingly taking a larger role in what is meant by development. Moreover, it is commonly accepted that Universities should transfer knowledge to society, and the transfer of knowledge should be open to countries most in need for developing. If the importance of the country development is given by education, science and technology, knowledge transfer would be one of the most clear of ways of Cooperation for Development. Therefore, university cooperation is one of the most powerful tools to achieve it, placing universities as agents of development. In Spain, the role of universities as agents of development and cooperation has been largely strengthened. All about this work deals to how to implement both Cooperation for Development and Land Management within Survey Engineering at the EHEA framework.

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La planificación de la movilidad sostenible urbana es una tarea compleja que implica un alto grado de incertidumbre debido al horizonte de planificación a largo plazo, la amplia gama de paquetes de políticas posibles, la necesidad de una aplicación efectiva y eficiente, la gran escala geográfica, la necesidad de considerar objetivos económicos, sociales y ambientales, y la respuesta del viajero a los diferentes cursos de acción y su aceptabilidad política (Shiftan et al., 2003). Además, con las tendencias inevitables en motorización y urbanización, la demanda de terrenos y recursos de movilidad en las ciudades está aumentando dramáticamente. Como consecuencia de ello, los problemas de congestión de tráfico, deterioro ambiental, contaminación del aire, consumo de energía, desigualdades en la comunidad, etc. se hacen más y más críticos para la sociedad. Esta situación no es estable a largo plazo. Para enfrentarse a estos desafíos y conseguir un desarrollo sostenible, es necesario considerar una estrategia de planificación urbana a largo plazo, que aborde las necesarias implicaciones potencialmente importantes. Esta tesis contribuye a las herramientas de evaluación a largo plazo de la movilidad urbana estableciendo una metodología innovadora para el análisis y optimización de dos tipos de medidas de gestión de la demanda del transporte (TDM). La metodología nueva realizado se basa en la flexibilización de la toma de decisiones basadas en utilidad, integrando diversos mecanismos de decisión contrariedad‐anticipada y combinados utilidad‐contrariedad en un marco integral de planificación del transporte. La metodología propuesta incluye dos aspectos principales: 1) La construcción de escenarios con una o varias medidas TDM usando el método de encuesta que incorpora la teoría “regret”. La construcción de escenarios para este trabajo se hace para considerar específicamente la implementación de cada medida TDM en el marco temporal y marco espacial. Al final, se construyen 13 escenarios TDM en términos del más deseable, el más posible y el de menor grado de “regret” como resultado de una encuesta en dos rondas a expertos en el tema. 2) A continuación se procede al desarrollo de un marco de evaluación estratégica, basado en un Análisis Multicriterio de Toma de Decisiones (Multicriteria Decision Analysis, MCDA) y en un modelo “regret”. Este marco de evaluación se utiliza para comparar la contribución de los distintos escenarios TDM a la movilidad sostenible y para determinar el mejor escenario utilizando no sólo el valor objetivo de utilidad objetivo obtenido en el análisis orientado a utilidad MCDA, sino también el valor de “regret” que se calcula por medio del modelo “regret” MCDA. La función objetivo del MCDA se integra en un modelo de interacción de uso del suelo y transporte que se usa para optimizar y evaluar los impactos a largo plazo de los escenarios TDM previamente construidos. Un modelo de “regret”, llamado “referencedependent regret model (RDRM)” (modelo de contrariedad dependiente de referencias), se ha adaptado para analizar la contribución de cada escenario TDM desde un punto de vista subjetivo. La validación de la metodología se realiza mediante su aplicación a un caso de estudio en la provincia de Madrid. La metodología propuesta define pues un procedimiento técnico detallado para la evaluación de los impactos estratégicos de la aplicación de medidas de gestión de la demanda en el transporte, que se considera que constituye una herramienta de planificación útil, transparente y flexible, tanto para los planificadores como para los responsables de la gestión del transporte. Planning sustainable urban mobility is a complex task involving a high degree of uncertainty due to the long‐term planning horizon, the wide spectrum of potential policy packages, the need for effective and efficient implementation, the large geographical scale, the necessity to consider economic, social, and environmental goals, and the traveller’s response to the various action courses and their political acceptability (Shiftan et al., 2003). Moreover, with the inevitable trends on motorisation and urbanisation, the demand for land and mobility in cities is growing dramatically. Consequently, the problems of traffic congestion, environmental deterioration, air pollution, energy consumption, and community inequity etc., are becoming more and more critical for the society (EU, 2011). Certainly, this course is not sustainable in the long term. To address this challenge and achieve sustainable development, a long‐term perspective strategic urban plan, with its potentially important implications, should be established. This thesis contributes on assessing long‐term urban mobility by establishing an innovative methodology for optimizing and evaluating two types of transport demand management measures (TDM). The new methodology aims at relaxing the utility‐based decision‐making assumption by embedding anticipated‐regret and combined utilityregret decision mechanisms in an integrated transport planning framework. The proposed methodology includes two major aspects: 1) Construction of policy scenarios within a single measure or combined TDM policy‐packages using the survey method incorporating the regret theory. The purpose of building the TDM scenarios in this work is to address the specific implementation in terms of time frame and geographic scale for each TDM measure. Finally, 13 TDM scenarios are built in terms of the most desirable, the most expected and the least regret choice by means of the two‐round Delphi based survey. 2) Development of the combined utility‐regret analysis framework based on multicriteria decision analysis (MCDA). This assessment framework is used to compare the contribution of the TDM scenario towards sustainable mobility and to determine the best scenario considering not only the objective utility value obtained from the utilitybased MCDA, but also a regret value that is calculated via a regret‐based MCDA. The objective function of the utility‐based MCDA is integrated in a land use and transport interaction model and is used for optimizing and assessing the long term impacts of the constructed TDM scenarios. A regret based model, called referente dependent regret model (RDRM) is adapted to analyse the contribution of each TDM scenario in terms of a subjective point of view. The suggested methodology is implemented and validated in the case of Madrid. It defines a comprehensive technical procedure for assessing strategic effects of transport demand management measures, which can be useful, transparent and flexible planning tool both for planners and decision‐makers.

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Neighbourhood representation and scale used to measure the built environment have been treated in many ways. However, it is anything but clear what representation of neighbourhood is the most feasible in the existing literature. This paper presents an exhaustive analysis of built environment attributes through three spatial scales. For this purpose multiple data sources are integrated, and a set of 943 observations is analysed. This paper simultaneously analyses the influence of two methodological issues in the study of the relationship between built environment and travel behaviour: (1) detailed representation of neighbourhood by testing different spatial scales; (2) the influence of unobserved individual sensitivity to built environment attributes. The results show that different spatial scales of built environment attributes produce different results. Hence, it is important to produce local and regional transport measures, according to geographical scale. Additionally, the results show significant sensitivity to built environment attributes depending on place of residence. This effect, called residential sorting, acquires different magnitudes depending on the geographical scale used to measure the built environment attributes. Spatial scales risk to the stability of model results. Hence, transportation modellers and planners must take into account both effects of self-selection and spatial scales.

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Accessibility is an essential concept widely used to evaluate the impact of land-use and transport strategies in transport and urban planning. Accessibility is typically evaluated by using a transport model or a land-use model independently or successively without a feedback loop, thus neglecting the interaction effects between the two systems and the induced competition effects among opportunities due to accessibility improvements. More than a mere methodological curiosity, failure to account for land- use/transport interactions and the competition effect may result in large underestimation of the policy effects. With the recent development of land-use and transport interaction (LUTI) models, there is a growing interest in using these models to adequately measure accessibility and evaluate its impact. The current study joins this research stream by embedding an accessibility measure in a LUTI model with two main aims. The first aim is to account for adaptive accessibility, namely the adjustment of the potential accessibility due to the effect of competition among opportunities (e.g., workplaces) as a result of improved accessibility. LUTI models are particularly suitable for assessing adaptive accessibility because the competition factor is a function of the number of jobs, which is related to land-use attractiveness and the number of workers which is related, among other factors, to the transport demand. The second aim is to identify the optimal implementation scenario of policy measures on the basis of the potential and adaptive accessibility and analyse the results in terms of social welfare and accessibility. The metropolitan area of Madrid is used as a case-study and two transport policy instruments, namely a cordon toll and bus frequency increase, have been chosen for the simulation study in order to present the usefulness of the approach to urban planners and policy makers. The MARS model (Metropolitan Activity Relocation Simulator) calibrated for Madrid was employed as the analysis tool. The impact of accessibility is embedded in the model through a social welfare function that includes not only costs and benefits to both road users and transport operators, but also costs and benefits for the government and society in general (external costs). An optimisation procedure is performed by the MARS model for maximizing the value of objective function in order to find the best (optimal) policy imp lementations intensity (i.e., price, frequency). Last, the two policy strategies are evaluated in terms of their accessibility. Results show that the accessibility with competition factor influences the optimal policy implementation level and also generates different results in terms of social welfare. In addition, mapping the difference between the potential and the adaptive accessibility indicators shows that the main changes occur in areas where there is a strong competition among land-use opportunities.

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In order to achieve to minimize car-based trips, transport planners have been particularly interested in understanding the factors that explain modal choices. In the transport modelling literature there has been an increasing awareness that socioeconomic attributes and quantitative variables are not sufficient to characterize travelers and forecast their travel behavior. Recent studies have also recognized that users? social interactions and land use patterns influence travel behavior, especially when changes to transport systems are introduced, but links between international and Spanish perspectives are rarely deal. In this paper, factorial and path analyses through a Multiple-Indicator Multiple-Cause (MIMIC) model are used to understand and describe the relationship between the different psychological and environmental constructs with social influence and socioeconomic variables. The MIMIC model generates Latent Variables (LVs) to be incorporated sequentially into Discrete Choice Models (DCM) where the levels of service and cost attributes of travel modes are also included directly to measure the effect of the transport policies that have been introduced in Madrid during the last three years in the context of the economic crisis. The data used for this paper are collected from a two panel smartphone-based survey (n=255 and 190 respondents, respectively) of Madrid.

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In order to achieve to minimize car-based trips, transport planners have been particularly interested in understanding the factors that explain modal choices. In the transport modelling literature there has been an increasing awareness that socioeconomic attributes and quantitative variables are not sufficient to characterize travelers and forecast their travel behavior. Recent studies have also recognized that users? social interactions and land use patterns influence travel behavior, especially when changes to transport systems are introduced, but links between international and Spanish perspectives are rarely deal. In this paper, factorial and path analyses through a Multiple-Indicator Multiple-Cause (MIMIC) model are used to understand and describe the relationship between the different psychological and environmental constructs with social influence and socioeconomic variables. The MIMIC model generates Latent Variables (LVs) to be incorporated sequentially into Discrete Choice Models (DCM) where the levels of service and cost attributes of travel modes are also included directly to measure the effect of the transport policies that have been introduced in Madrid during the last three years in the context of the economic crisis. The data used for this paper are collected from a two panel smartphone-based survey (n=255 and 190 respondents, respectively) of Madrid.

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Los programas de desarrollo regional promovidos por los gobiernos nacionales y las agencias multilaterales, como el Banco Mundial y el Banco Interamericano de Desarrollo (BID), se orientan a las políticas públicas de suministro de bienes públicos, ya sean servicios públicos o infraestructuras, a las regiones subdesarrolladas. Las evidencias apuntan que el éxito de estos programas depende en parte de externalidades, las cuales se relacionan con los cambios del tejido asociativo y los valores de los participantes de la comunidad. Estas externalidades se definen como el capital social. Cómo las externalidades no son directamente evaluadas en el impacto económico y social de los proyectos, pero su existencia es aceptada por los planificadores que reconocen la importancia de desarrollar el tejido de relaciones en la comunidad. Sin embargo este capital social no es medido. El objeto de esta tesis es investigar y proponer procesos de medida y evaluación del capital social de un proyecto, y relacionarlos con las actividades del mismo en un territorio y proyecto dado como casos de estudio. El Programa de Desarrollo de la Zona de Mata (PROMATA) en el Estado de Pernambuco, Brasil, financiado por el Estado de Pernambuco en Brasil y el BID, finalizado en 2010, ha sido elegido como caso de estudio. Para la evaluación y medida del capital social se han estudiado dos periodos. Uno considerando solo los planes del proyecto, sin considerar su implantación, que se ha denominado evaluación A Priori, basada en un panel de expertos con visión de las externalidades generadas. Y otra con la participación de las partes de la comunidad después de su finalización, denomina evaluación A Posteriori, para lo cual se han entrevistado un número significativo de partes interesadas utilizando un cuestionario especialmente diseñado. Los resultados han sido procesados mediante análisis estadísticos avanzados. El proyecto PROMATA es considerado un caso de éxito en Brasil, en parte por su aproximación al desarrollo asociativo. Sin embargo las valoraciones del capital social muestran que algunas relaciones Estado-sociedad y sociedad-personas no han cambiado todo lo esperado, en oposición a las evaluaciones de satisfacción de los indicadores del proyecto. Es el efecto externo del capital social. ABSTRACT The regional development programs promoted by the national governments and international multilateral agencies, like the World Bank and the Interamerican Development Bank (BID), are oriented to public policies under which public goods, like public services and infrastructures, are supplied to underdeveloped regions. More and more evidences are pointing to the fact that success of these programs depends in a good part of externalities, which are related to the changes in the networking and values among the stakeholders in the territory. These externalities are defined as the Social Capital. As externalities, they are not directly evaluated in the projects economic and social impact, but accepted to exist and the planners of the projects do acknowledge the important of social networking. However never assessed. The objective of this thesis is to investigate and propose a way to measure and assess the social capital of a given project, and relate that with the activities of the project, with a given project and territory as base case. The Development Program in Zona da Mata (PROMATA) in the State of Pernambuco, Brazil, funded by the Brazil State and the BID, ended in 2010, was chosen as the base case. For the assessment of the social capital two periods in time where studied. One considering only the project program named a priori evaluation and based in a panel of experts, which are aware of the possible externalities of the project. Other, considering the stakeholders view after the project ended, named posterior evaluation, which required interviewing a number of stakeholders using a specially designed questionnaire. The results were processed using advanced statistical techniques. PROMATA is considered a success case story in Brazil, in part for its social networking approach. However when the social capital is assessed there are areas of state-society and society-community relations not that well transformed, as the satisfaction research of the project indicators. This unforeseen externality is the social capital effect.

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The main contribution of this research paper is to display a range of figures and values which could help urban planners to quantify the urban phenomenon of sprawl. In this way, after a rigorous analysis and comparison between a scattered urban fabric (Majadahonda) and a compact urban fabric (Alcorcón), several possible indexes are established and characterized in order to verify the main hypothesis: in what extent land consumption and exploitation of energy resources are higher in a scattered urban fabric than in a compact one.