Multi-fluid Eulerian model of an electrospray in a host gas.

An Eulerian multifluid model is used to describe the evolution of an electrospray plume and the flow induced in the surrounding gas by the drag of the electrically charged spray droplets in the space between an injection electrode containing the electrospray source and a collector electrode. The spray is driven by the voltage applied between the two electrodes. Numerical computations and order-of-magnitude estimates for a quiescent gas show that the droplets begin to fly back toward the injection electrode at a certain critical value of the flux of droplets in the spray, which depends very much on the electrical conditions at the injection electrode. As the flux is increased toward its critical value, the electric field induced by the charge of the droplets partially balances the field due to the applied voltage in the vicinity of the injection electrode, leading to a spray that rapidly broadens at a distance from its origin of the order of the stopping distance at which the droplets lose their initial momentum and the effect of their inertia becomes negligible. The axial component of the electric field first changes sign in this region, causing the fly back. The flow induced in the gas significantly changes this picture in the conditions of typical experiments. A gas plume is induced by the drag of the droplets whose entrainment makes the radius of the spray away from the injection electrode smaller than in a quiescent gas, and convects the droplets across the region of negative axial electric field that appears around the origin of the spray when the flux of droplets is increased. This suppresses fly back and allows much higher fluxes to be reached than are possible in a quiescent gas. The limit of large droplet-to-gas mass ratio is discussed. Migration of satellite droplets to the shroud of the spray is reproduced by the Eulerian model, but this process is also affected by the motion of the gas. The gas flow preferentially pushes satellite droplets from the shroud to the core of the spray when the effect of the inertia of the droplets becomes negligible, and thus opposes the well-established electrostatic/inertial mechanism of segregation and may end up concentrating satellite droplets in an intermediate radial region of the spray.

Modeling of the Division Point of Different Propagation Mechanisms in the Near-Region Within Arched Tunnels

An accurate characterization of the near-region propagation of radio waves inside tunnels is of practical importance for the design and planning of advanced communication systems. However, there has been no consensus yet on the propagation mechanism in this region. Some authors claim that the propagation mechanism follows the free space model, others intend to interpret it by the multi-mode waveguide model. This paper clarifies the situation in the near-region of arched tunnels by analytical modeling of the division point between the two propagation mechanisms. The procedure is based on the combination of the propagation theory and the three-dimensional solid geometry. Three groups of measurements are employed to verify the model in different tunnels at different frequencies. Furthermore, simplified models for the division point in five specific application situations are derived to facilitate the use of the model. The results in this paper could help to deepen the insight into the propagation mechanism within tunnel environments.

Improved design of an overhead rail current conductor for application in underground lines

Overhead rail current collector systems for railway traction offer certain features, such as low installation height and reduced maintenance, which make them predominantly suitable for use in underground train infrastructures. Due to the increased demands of modern catenary systems and higher running speeds of new vehicles, a more capable design of the conductor rail is needed. A new overhead conductor rail has been developed and its design has been patented [13]. Modern simulation and modelling techniques were used in the development approach. The new conductor rail profile has a dynamic behaviour superior to that of the system currently in use. Its innovative design permits either an increase of catenary support spacing or a higher vehicle running speed. Both options ensure savings in installation or operating costs. The simulation model used to optimise the existing conductor rail profile included both a finite element model of the catenary and a three-dimensional multi-body system model of the pantograph. The contact force that appears between pantograph and catenary was obtained in simulation. A sensitivity analysis of the key parameters that influence in catenary dynamics was carried out, finally leading to the improved design.

Survey and brain storming studies about machines, constructions, human and environmental risk consideration in the careers of the Universidad Politécnica of Madrid

The Universidad Politécnica of Madrid (UPM) includes schools and faculties that were for engineering degrees, architecture and computer science, that are now in a quick EEES Bolonia Plan metamorphosis getting into degrees, masters and doctorate structures. They are focused towards action in machines, constructions, enterprises, that are subjected to machines, human and environment created risks. These are present in actions such as use loads, wind, snow, waves, flows, earthquakes, forces and effects in machines, vehicles behavior, chemical effects, and other environmental factors including effects of crops, cattle and beasts, forests, and varied essential economic and social disturbances. Emphasis is for authors in this session more about risks of natural origin, such as for hail, winds, snow or waves that are not exactly known a priori, but that are often considered with statistical expected distributions giving extreme values for convenient return periods. These distributions are known from measures in time, statistic of extremes and models about hazard scenarios and about responses of man made constructions or devices. In each engineering field theories were built about hazards scenarios and how to cover for important risks. Engineers must get that the systems they handle, such as vehicles, machines, firms or agro lands or forests, obtain production with enough safety for persons and with decent economic results in spite of risks. For that risks must be considered in planning, in realization and in operation, and safety margins must be taken but at a reasonable cost. That is a small level of risks will often remain, due to limitations in costs or because of due to strange hazards, and maybe they will be covered by insurance in cases such as in transport with cars, ships or aircrafts, in agro for hail, or for fire in houses or in forests. These and other decisions about quality, security for men or about business financial risks are sometimes considered with Decision Theories models, using often tools from Statistics or operational Research. The authors have done and are following field surveys about risk consideration in the careers in UPM, making deep analysis of curricula taking into account the new structures of degrees in the EEES Bolonia Plan, and they have considered the risk structures offered by diverse schools of Decision theories. That gives an aspect of the needs and uses, and recommendations about improving in the teaching about risk, that may include special subjects especially oriented for each career, school or faculty, so as to be recommended to be included into the curricula, including an elaboration and presentation format using a multi-criteria decision model.

Evolución y crisis de la región metropolitana de Madrid 1985-2007. Análisis de las diversas perspectivas para la transformación del gobierno urbano: una revisión crítica del planeamiento

La Región Metropolitana de Madrid (RMM) ha sufrido una gran transformación urbana en el periodo 1985-2007, en el cual ha crecido la población, ha crecido fuertemente el cuerpo físico, pero sobre todo han crecido su coste y su consumo, lo que supone que se ha vuelto más insostenible. Para tratar de comprender esta evolución asimétrica se ensayan sucesivos modelos que tratan de explicar la transformación de la realidad a través de la articulación de las formas de poder y sus políticas asociadas dentro del contexto local-metropolitano. Si se compara la transformación urbana en el periodo 1985-2007 respecto a la registrada durante el desarrollismo previo al presente periodo democrático, se encuentran similitudes, como el amplio consumo de suelo, pero el modelo desarrollista se inscribe en otras lógicas y tiene otros parámetros de contexto y es congruente ya que las últimas décadas del Régimen Franquista se caracterizan por un importantísimo aumento poblacional que se correspondía con el fuerte crecimiento industrial de la RMM. Esa congruencia relativa se pierde en el periodo estudiado, a pesar de que en 1985, se aprueba el Plan General de Ordenación Urbana de Madrid centrado en la ciudad existente y con un crecimiento contenido, y que puede considerarse un modelo abortado. Tras numerosas transformaciones políticas, económicas, sociales y urbanísticas se llega a una situación opuesta a la prevista en el citado Plan. Más de veinte años después, en 2007, se presentan no solo síntomas de agotamiento del modelo finalmente adoptado, sino su quiebra dramática tanto en su dimensión inmobiliario-financiera como del espacio del bienestar. Es precisamente la supresión de los mecanismos de regulación lo que ha caracterizado la evolución de los modelos urbanos, en correspondencia con la desregulación de las actividades económicas y de los flujos de capital propios del modelo "neoliberal". La actual crisis financiera internacional, en especial en algunos países periféricos europeos como España, ha demostrado cómo las políticas económicas que se han llevado a cabo, fuera de toda regulación, han resultado insostenibles. Pero no se trata solo de una crisis económica. En el caso español, de todas las dimensiones de la crisis, destaca la dimensión urbana, o el auge y caída del ciclo inmobiliario, debido a la urbanización intensiva del territorio en relación con el circuito secundario de la acumulación capitalista, habiendo tenido especial incidencia en algunos territorios como la RMM. En la Región Metropolitana de Madrid la situación actual es de crisis urbana, causada principalmente por el divorcio entre las necesidades y la producción de ciudad, pues no se ha basado el crecimiento en la creación de nuevos hogares, u otras cuestiones demográficas, sino en la acumulación de capital a través del crecimiento de la ciudad. Además, dicho crecimiento está conformado por una expansión urbana descontrolada, con mayores requerimientos energéticos que el modelo compacto y complejo tradicional, lo que unido a la escala de los procesos, supone un sistema urbano progresivamente ineficiente. El caso de la RMM resulta paradigmático, ya que la región ha desempeñado un papel como laboratorio de nuevas formas de gobierno y planificación que han dado un mayor protagonismo al espacio, que ha entrado en las dinámicas centrales principalmente por el apoyo al crecimiento físico, a la vez que han confluido circunstancias específicas, como un nuevo impulso al centralismo, lo que ha potenciado ciertas políticas, como considerar la ciudad como motor de crecimiento económico y de competitividad en el concierto europeo y mundial de ciudades. El estudio del papel de la planificación y sus crisis en la sucesión de los modelos, muestra su función nuclear en la propia constitución de estos —es parte fundamental de su aparato de regulación— y su valor no solo para poder entender el periodo, sino para poder proyectar otro futuro urbano. Este enfoque conduce a establecer la relación del planeamiento con las diferentes crisis económicas en el periodo de estudio lo que permite diferenciar tres momentos de dicha relación: la planificación urbanística austera bajo la influencia de la crisis fordista, la salida de la crisis a través de la imposición de un modelo urbano basado en el sobreproducción de espacio urbano, y la entrada en una crisis inmobiliaria y de financiarización en relación a la adopción de un modelo multidimensionalmente insostenible. El análisis de este periodo es la base para apuntar perspectivas que permitan transformar el gobierno urbano hacia un modelo urbano más deseable, o mejor aún, otros futuros posibles, que se enmarcan dentro de la alternativa principal que supone la sostenibilidad. Madrid's Metropolitan Region (MMR) has undergone a major urban transformation in the period 1985-2007, where the population has grown up, the built environment has grown strongly, but mostly its cost and consumption have grown, which means that it has become unsustainable. To try to understand this evolution successive asymmetric models are tested in order to explain the transformation of reality through the articulation of forms of power and its associated policies in that localmetropolitan context. Comparing the urban transformation in the period 1985-2007 to the existing during developmentalism in the current predemocratic period, both have similarities in terms of land consumption, but the previous developmentalism model is part of another logics and has got other context parameters. It is consistent since the last decades of the Franco Regime was characterized by an important population increase that corresponded to strong industrial growth of the MMR. This relative consistency is lost during the study period, although in 1985, with the approval of the Master Plan of Madrid that was focused on the existing city, with a limited growth, and it may be considered an interrupted model. After numerous political, economic, social and urban changes, there is the opposite situation to that foresight under that Plan. Over twenty years later, in 2007, there are not only signs of exhaustion of the model which was finally adopted, but also its dramatic collapse in both real estate and financial dimension of space as well. The urban transformation under analysis has relaunched the hegemony of the sectors that rule the growth of the Madrid's Metropolitan Region and it is supported by decision making and financing of the different administrations with the passivity of the social stakeholders and citizens. This has meant the removal of regulatory mechanisms that have characterized the evolution of urban models, corresponding to the deregulation of economic activities and capital flows according to "neoliberal" model. The current international financial crisis, especially in some European peripheral countries like Spain, has shown how economic policies that have been carried out, without any regulation, have proven unsustainable. But it is not only an economic crisis. In the Spanish case, of all the dimensions of the crisis, it is the urban dimension that is highlighted, or the rise and fall of real estate cycle, due to intensive urbanization of the territory in relation to the secondary circuit of capital accumulation, having had a particular impact in some territories such as the Madrid's Metropolitan Region. In Madrid's Metropolitan Region there is the current situation of urban crisis, mainly caused by the divorce between needs and the city (space) production, because no growth has been based on creating new homes, or other demographic issues, but in the capital accumulation through growth of the city. Furthermore, this growth is made up of urban sprawl, with higher energy requirements than the traditional compact and complex one, which together with the scale of processes, is increasingly an inefficient urban system. The case of Madrid's Metropolitan Region is paradigmatic, since the region has played a role as a laboratory for new forms of governance and planning have given a greater role to space, which has entered the core dynamics supported mainly by physical growth, while specific circumstances have come together as a new impulse to centralization. This has promoted policies such as considering the city as an engine of economic growth and competitiveness in the international and the European hierarchy of cities. The study of the role of planning and crisis in the succession of models, shows its nuclear role in the constitution of these models is a fundamental part of its regulatory apparatus- and also its value not only to understand the period, but to anticipate to other urban future. This approach leads to establish the relationship of planning with the various crises in the study period, allowing three different moments of that relationship: the austere urban planning under the influence of Fordist crisis, the output of the crisis through imposition of an urban model based on the overproduction of urban space, and entry into a housing crisis and financialisation in relation to the adoption of a multi-dimensionally unsustainable model. The analysis of this period is the basis for targeting prospects that translate urban governance towards a more desirable urban model, or better yet, other possible futures, which are part of the main alternative that is sustainability.

A MAUT approach for reusing ontologies

Knowledge resource reuse has become a popular approach within the ontology engineering field, mainly because it can speed up the ontology development process, saving time and money and promoting the application of good practices. The NeOn Methodology provides guidelines for reuse. These guidelines include the selection of the most appropriate knowledge resources for reuse in ontology development. This is a complex decision-making problem where different conflicting objectives, like the reuse cost, understandability, integration workload and reliability, have to be taken into account simultaneously. GMAA is a PC-based decision support system based on an additive multi-attribute utility model that is intended to allay the operational difficulties involved in the Decision Analysis methodology. The paper illustrates how it can be applied to select multimedia ontologies for reuse to develop a new ontology in the multimedia domain. It also demonstrates that the sensitivity analyses provided by GMAA are useful tools for making a final recommendation.

Dominance intensity measure within fuzzy weight oriented MAUT: an application

We introduce a dominance intensity measuring method to derive a ranking of alternatives to deal with incomplete information in multi-criteria decision-making problems on the basis of multi-attribute utility theory (MAUT) and fuzzy sets theory. We consider the situation where there is imprecision concerning decision-makers’ preferences, and imprecise weights are represented by trapezoidal fuzzy weights.The proposed method is based on the dominance values between pairs of alternatives. These values can be computed by linear programming, as an additive multi-attribute utility model is used to rate the alternatives. Dominance values are then transformed into dominance intensity measures, used to rank the alternatives under consideration. Distances between fuzzy numbers based on the generalization of the left and right fuzzy numbers are utilized to account for fuzzy weights. An example concerning the selection of intervention strategies to restore an aquatic ecosystem contaminated by radionuclides illustrates the approach. Monte Carlo simulation techniques have been used to show that the proposed method performs well for different imprecision levels in terms of a hit ratio and a rank-order correlation measure.

A Maut aprroach for reusing domain ontologies on the basis of the NeOn Methodlogy

Knowledge resource reuse has become a popular approach within the ontology engineering field, mainly because it can speed up the ontology development process, saving time and money and promoting the application of good practices. The NeOn Methodology provides guidelines for reuse. These guidelines include the selection of the most appropriate knowledge resources for reuse in ontology development. This is a complex decision-making problem where different conflicting objectives, like the reuse cost, understandability, integration workload and reliability, have to be taken into account simultaneously. GMAA is a PC-based decision support system based on an additive multi-attribute utility model that is intended to allay the operational difficulties involved in the Decision Analysis methodology. The paper illustrates how it can be applied to select multimedia ontologies for reuse to develop a new ontology in the multimedia domain. It also demonstrates that the sensitivity analyses provided by GMAA are useful tools for making a final recommendation.

Introducción de criterios de sostenibilidad en la elección de emplazamientos industriales mediante modelos multicriterio

(SPA) La elección de localizaciones para la implantación de actividades industriales es un problema complejo, donde a los criterios de coste y eficiencia se han ido añadiendo otros nuevos relativos tanto al impacto en el medio ambiente como a la imagen de la empresa reflejada en la Responsabilidad Social Empresarial. Los criterios medioambientales han ido adquiriendo gran relevancia en la decisión final, hasta convertirse, gracias a la obligación de someter los proyectos a evaluación ambiental, en elementos clave en la decisión final. Por ello, resulta relativamente frecuente que los promotores consulten previamente con la Administración sobre la viabilidad de sus proyectos antes de iniciar un dilatado procedimiento administrativo. En este trabajo se plantea la utilización de indicadores de sostenibilidad y su aplicación, a través de un modelo de decisiones multicriterio, para la ordenación de las distintas opciones de ubicación inicialmente consideradas, de tal forma que se conviertan en instrumento de tanteo y ayuda en la toma de estas decisiones. Para mostrar su utilidad se propone la utilización de la herramienta de apoyo basada en la metodología PROMETHEE y su aplicación en la ordenación de cinco emplazamientos alternativos para la instalación de una cementera en la Comunidad de Madrid según criterios de sostenibilidad. (ENG) The choice of locations for the implementation of industrial activities is a complex problem where the cost and efficiency criteria have been adding new ones relating to the environment impact and the company’s corporate image reflected in Corporate Social Responsability. The environmental criteria have been getting big importance in the final decision, to become key elements in the final decision, due to the duty of submit of environmental assessment projects. Therefore, promoters, quite often, ask previously to the Administration about the viability of their projects before starting a lengthy administrative procedure. This paper proposes the use of sustainability indicators and their application through a multi-criteria decision model for managing the establishment options initially considered, so that they become an help instrument of estimation in order to making these decisions. To show its usefulness we propose the use of the support tool for decision making based on the PROMETHEE methodology and its application in the management of 5 alternative sites for the installation of a cement factory in the Community of Madrid under sustainability criteria.

A first approach to an axiomatic model of multi-measures

We establish an axiomatic model of multi-measures, capturing some classes of measures studied in the fuzzy sets literature, where they are applied to only one or two arguments.

Some past decision theory models for euro construction model codes and for road drainage in Spain, and modest hints with multi-criteria methods for agro and environmental assurance

The authors are from UPM and are relatively grouped, and all have intervened in different academic or real cases on the subject, at different times as being of different age. With precedent from E. Torroja and A. Páez in Madrid Spain Safety Probabilistic models for concrete about 1957, now in ICOSSAR conferences, author J.M. Antón involved since autumn 1967 for euro-steel construction in CECM produced a math model for independent load superposition reductions, and using it a load coefficient pattern for codes in Rome Feb. 1969, practically adopted for European constructions, giving in JCSS Lisbon Feb. 1974 suggestion of union for concrete-steel-al.. That model uses model for loads like Gumbel type I, for 50 years for one type of load, reduced to 1 year to be added to other independent loads, the sum set in Gumbel theories to 50 years return period, there are parallel models. A complete reliability system was produced, including non linear effects as from buckling, phenomena considered somehow in actual Construction Eurocodes produced from Model Codes. The system was considered by author in CEB in presence of Hydraulic effects from rivers, floods, sea, in reference with actual practice. When redacting a Road Drainage Norm in MOPU Spain an optimization model was realized by authors giving a way to determine the figure of Return Period, 10 to 50 years, for the cases of hydraulic flows to be considered in road drainage. Satisfactory examples were a stream in SE of Spain with Gumbel Type I model and a paper of Ven Te Chow with Mississippi in Keokuk using Gumbel type II, and the model can be modernized with more varied extreme laws. In fact in the MOPU drainage norm the redacting commission acted also as expert to set a table of return periods for elements of road drainage, in fact as a multi-criteria complex decision system. These precedent ideas were used e.g. in wide Codes, indicated in symposia or meetings, but not published in journals in English, and a condensate of contributions of authors is presented. The authors are somehow involved in optimization for hydraulic and agro planning, and give modest hints of intended applications in presence of agro and environment planning as a selection of the criteria and utility functions involved in bayesian, multi-criteria or mixed decision systems. Modest consideration is made of changing in climate, and on the production and commercial systems, and on others as social and financial.

OSIA: Out-of-order scheduling for in-order arriving in concurrent multi-path transfer.

One major problem of concurrent multi-path transfer (CMT) scheme in multi-homed mobile networks is that the utilization of different paths with diverse delays may cause packet reordering among packets of the same ?ow. In the case of TCP-like, the reordering exacerbates the problem by bringing more timeouts and unnecessary retransmissions, which eventually degrades the throughput of connections considerably. To address this issue, we ?rst propose an Out-of-order Scheduling for In-order Arriving (OSIA), which exploits the sending time discrepancy to preserve the in-order packet arrival. Then, we formulate the optimal traf?c scheduling as a constrained optimization problem and derive its closedform solution by our proposed progressive water-?lling solution. We also present an implementation to enforce the optimal scheduling scheme using cascaded leaky buckets with multiple faucets, which provides simple guidelines on maximizing the utilization of aggregate bandwidth while decreasing the probability of triggering 3 dupACKs. Compared with previous work, the proposed scheme has lower computation complexity and can also provide the possibility for dynamic network adaptability and ?ner-grain load balancing. Simulation results show that our scheme signi?cantly alleviates reordering and enhances transmission performance.

Regularized model learning in EDAs for continuous and multi-objective optimization

Probabilistic modeling is the de�ning characteristic of estimation of distribution algorithms (EDAs) which determines their behavior and performance in optimization. Regularization is a well-known statistical technique used for obtaining an improved model by reducing the generalization error of estimation, especially in high-dimensional problems. `1-regularization is a type of this technique with the appealing variable selection property which results in sparse model estimations. In this thesis, we study the use of regularization techniques for model learning in EDAs. Several methods for regularized model estimation in continuous domains based on a Gaussian distribution assumption are presented, and analyzed from di�erent aspects when used for optimization in a high-dimensional setting, where the population size of EDA has a logarithmic scale with respect to the number of variables. The optimization results obtained for a number of continuous problems with an increasing number of variables show that the proposed EDA based on regularized model estimation performs a more robust optimization, and is able to achieve signi�cantly better results for larger dimensions than other Gaussian-based EDAs. We also propose a method for learning a marginally factorized Gaussian Markov random �eld model using regularization techniques and a clustering algorithm. The experimental results show notable optimization performance on continuous additively decomposable problems when using this model estimation method. Our study also covers multi-objective optimization and we propose joint probabilistic modeling of variables and objectives in EDAs based on Bayesian networks, speci�cally models inspired from multi-dimensional Bayesian network classi�ers. It is shown that with this approach to modeling, two new types of relationships are encoded in the estimated models in addition to the variable relationships captured in other EDAs: objectivevariable and objective-objective relationships. An extensive experimental study shows the e�ectiveness of this approach for multi- and many-objective optimization. With the proposed joint variable-objective modeling, in addition to the Pareto set approximation, the algorithm is also able to obtain an estimation of the multi-objective problem structure. Finally, the study of multi-objective optimization based on joint probabilistic modeling is extended to noisy domains, where the noise in objective values is represented by intervals. A new version of the Pareto dominance relation for ordering the solutions in these problems, namely �-degree Pareto dominance, is introduced and its properties are analyzed. We show that the ranking methods based on this dominance relation can result in competitive performance of EDAs with respect to the quality of the approximated Pareto sets. This dominance relation is then used together with a method for joint probabilistic modeling based on `1-regularization for multi-objective feature subset selection in classi�cation, where six di�erent measures of accuracy are considered as objectives with interval values. The individual assessment of the proposed joint probabilistic modeling and solution ranking methods on datasets with small-medium dimensionality, when using two di�erent Bayesian classi�ers, shows that comparable or better Pareto sets of feature subsets are approximated in comparison to standard methods.

Design and modeling of the multi-agent robotic system: SMART

This article presents the design, kinematic model and communication architecture for the multi-agent robotic system called SMART. The philosophy behind this kind of system requires the communication architecture to contemplate the concurrence of the whole system. The proposed architecture combines different communication technologies (TCP/IP and Bluetooth) under one protocol designed for the cooperation among agents and other elements of the system such as IP-Cameras, image processing library, path planner, user Interface, control block and data block. The high level control is modeled by Work-Flow Petri nets and implemented in C++ and C♯♯. Experimental results show the performance of the designed architecture.

Hybrid choice model for propensity to travel and tour complexity

During the last years cities around the world have invested important quantities of money in measures for reducing congestion and car-trips. Investments which are nothing but potential solutions for the well-known urban sprawl phenomenon, also called the “development trap” that leads to further congestion and a higher proportion of our time spent in slow moving cars. Over the path of this searching for solutions, the complex relationship between urban environment and travel behaviour has been studied in a number of cases. The main question on discussion is, how to encourage multi-stop tours? Thus, the objective of this paper is to verify whether unobserved factors influence tour complexity. For this purpose, we use a data-base from a survey conducted in 2006-2007 in Madrid, a suitable case study for analyzing urban sprawl due to new urban developments and substantial changes in mobility patterns in the last years. A total of 943 individuals were interviewed from 3 selected neighbourhoods (CBD, urban and suburban). We study the effect of unobserved factors on trip frequency. This paper present the estimation of an hybrid model where the latent variable is called propensity to travel and the discrete choice model is composed by 5 alternatives of tour type. The results show that characteristics of the neighbourhoods in Madrid are important to explain trip frequency. The influence of land use variables on trip generation is clear and in particular the presence of commercial retails. Through estimation of elasticities and forecasting we determine to what extent land-use policy measures modify travel demand. Comparing aggregate elasticities with percentage variations, it can be seen that percentage variations could lead to inconsistent results. The result shows that hybrid models better explain travel behavior than traditional discrete choice models.