952 resultados para Mode choice behaviour
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In der vorliegenden Arbeit wurde die Fähigkeit von Hunden zur Erkennung und Unterscheidung menschlicher Gesichter untersucht. Zu diesem Zweck wurden verschiedene Verhaltensexperimente mit fünf Hunden durchgeführt. Zunächst wurden die Hunde darauf dressiert, ein einlaminiertes DIN A4 Blatt mit einem Gesicht im Zentrum in der dafür vorgesehenen Apparatur mit der Schnauze zu berühren. Bei der Dressur wurden immer zwei Folien präsentiert, wobei nur eine Wahl, nämlich die des Dressurgesichts, durch Futtergabe belohnt wurde. Nach Abschluss der Dressurphase wurden die Hunde in Generalisationstests mit neuen Gesichtern konfrontiert, die für uns Menschen wenig bis keine direkte Ähnlichkeit mit dem Dressurgesicht aufwiesen. Um herauszufinden ob Hunde sich an der Größe orientieren, wurden einige der zuvor getesteten Gesichter um die Hälfte und mehr verkleinert. All diese Veränderungen beeinträchtigten die Fähigkeit der Hunde nicht, das Dressurgesicht bevorzugt zu wählen. Diese Ergebnisse veranlassten die Versuchsleiterin zu testen, ob Hunde sich an verschiedenen Bereichen im menschlichen Gesicht orientieren oder das Gesicht als Ganzes wahrnehmen. Zur Beurteilung wurden den Hunden abgeänderte Gesichter zum Einen ohne Haare und Ohren und zum Anderen nur Haare und Ohren ohne das Gesicht (homogen graue Fläche) präsentiert. Hier hatten die Hunde deutliche Schwierigkeiten, wenn die äußeren Konturen nicht mehr vorhanden waren. Bei diesen Versuchen blieben die Wahlen der Hunde nahe dem Zufallsniveau von 50%. Das Fehlen des Gesichts als solches erwies sich als unproblematisch, da allen Hunden die äußeren Konturen, in diesem Fall Haare und Ohren ausreichten, um das Dressurgesicht mit einer Wahlhäufigkeit signifikant über 70% wiederzuerkennen. Abschließend wurde untersucht, ob sich die Hunde durch das Zusammensetzen von zwei bzw. drei unterschiedlichen Gesichtern in ihrem Wahlverhalten beeinflussen lassen. Dazu wurden zwei unterschiedlichen Haarpartien verschiedene Gesichter zugeordnet. Ähnelten sich die äußeren Konturen fiel es den Hunden in dieser Versuchsreihe schwer die Dressurhaare wieder zu erkennen. Unterschieden sich die äußeren Konturen für unser menschliches Auge deutlich, so wählten alle Hunde die Haare und Ohren des Dressurgesichts mit einer Wahlhäufigkeit signifikant über dem Schwellenwert von 70%. Somit ist zu vermuten, dass sich im Laufe der Domestikation beim Hund keine Hirnregion ausgebildet hat, die speziell für die Gesichtserkennung von Menschen verantwortlich ist. Aus den Ergebnissen dieser Arbeit zur Gesichtserkennung beim Hund wird deutlich, dass es dem Hund möglich ist, Gesichter voneinander zu unterscheiden. Allerdings orientiert sich der Hund nicht an bestimmten Gesichtsregionen, sondern nutzt die äußeren Konturen als Wiedererkennungsmerkmal. Aus diesem Grund finden sich häufig Unsicherheiten bei Hunden, wenn ihnen bekannte Menschen plötzlich mit Hut oder Mütze begegnen und eine Erkennung über den Geruchssinn und die Stimme noch nicht stattgefunden hat. Bei der Beurteilung der Ergebnisse muss beachtet werden, dass den Hunden das menschliche Gesicht in Form von Bildern präsentiert wurde und somit keine Beeinflussung durch Bewegung im Gesicht gegeben war. Da das Bewegungssehen beim Hund sehr gut ausgebildet ist, achtet er im Alltag des Menschen sehr wahrscheinlich außerordentlich gut auf Augenbewegungen und Gesichtsmuskelbewegungen, um mit dem Sozialpartner Mensch zu kommunizieren. Weiterhin wäre es interessant herauszufinden, ob die Orientierung an den äußeren Konturen eine Folge der Domestikation und somit eine Adaptation an den Menschen und sein Ökosystem ist, oder ob Wölfe auch dazu in der Lage wären.
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Intelligent Transport Systems (ITS) consists in the application of ICT to transport to offer new and improved services to the mobility of people and freights. While using ITS, travellers produce large quantities of data that can be collected and analysed to study their behaviour and to provide information to decision makers and planners. The thesis proposes innovative deployments of classification algorithms for Intelligent Transport System with the aim to support the decisions on traffic rerouting, bus transport demand and behaviour of two wheelers vehicles. The first part of this work provides an overview and a classification of a selection of clustering algorithms that can be implemented for the analysis of ITS data. The first contribution of this thesis is an innovative use of the agglomerative hierarchical clustering algorithm to classify similar travels in terms of their origin and destination, together with the proposal for a methodology to analyse drivers’ route choice behaviour using GPS coordinates and optimal alternatives. The clusters of repetitive travels made by a sample of drivers are then analysed to compare observed route choices to the modelled alternatives. The results of the analysis show that drivers select routes that are more reliable but that are more expensive in terms of travel time. Successively, different types of users of a service that provides information on the real time arrivals of bus at stop are classified using Support Vector Machines. The results shows that the results of the classification of different types of bus transport users can be used to update or complement the census on bus transport flows. Finally, the problem of the classification of accidents made by two wheelers vehicles is presented together with possible future application of clustering methodologies aimed at identifying and classifying the different types of accidents.
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We examine the choice of modes of delivery in services based on US data, including both cross-border exports and sales through foreign affiliates. We focus on characteristics of destination markets and how this impacts on mode choice. We find that market size, distance and policy all play a role in where firms establish, and in how many markets firms enter. The importance of sales through affiliates relative to total foreign sales also depends on factors like market size, geographic and economic distance and the policy regime in place. Precisely, how important these factors are depends on the sector in question.
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Los paneles sándwich de yeso laminado y lana de roca presentan una abundante patología de fisuración debida a flechas excesivas de forjados. Existe, por tanto, la necesidad de avanzar en la simulación y predicción de comportamiento bajo solicitaciones de tracción y cortante de ese tipo de paneles, a pesar de que en las aplicaciones habituales no tienen responsabilidad estructural. El comportamiento de este material puede ser considerado cuasi-frágil, y en base a ello en este trabajo ha sido estudiado haciendo uso de modelos de fisura cohesiva, cuya aplicación a otros materiales cuasifrágiles, como el hormigón, ha aportado resultados muy satisfactorios. En esta comunicación se presenta el trabajo realizado para estudiar el efecto del tamaño del elemento de yeso laminado y lana de roca en su comportamiento mecánico-resistente. Para ello se diseñó una campaña de ensayos en modo mixto sobre probetas de diferente tamaño. Se han realizado ensayos de flexión en tres puntos en modo mixto de unas probetas entalladas, geométricamente similares y de diferente tamaño, obteniéndose las curvas carga-desplazamiento y cargaabertura de la boca de la entalla. Para simular numéricamente el comportamiento en fractura del panel en modo mixto se ha utilizado un modelo de elementos finitos con fisura embebida basado en la fisura cohesiva en el que se introducen como entrada los parámetros obtenidos a partir de la experimentación de trabajos anteriores, obteniéndose un buen ajuste. En función de estos resultados se analiza el efecto del tamaño en los paneles. Sandwich panels of laminated gypsum and rockwool have an abundant pathology of cracking due to excessive slabs deflection. Therefore, it is necessary to progress in the simulation and prediction of behaviour under tensile and shear load of such panels, although in typical applications have no structural responsability. The behaviour of this material may be considered quasi-brittle and, based on this idea, in this work has been studied using a cohesive crack model that has been applied to other quasi-brittle materials, such as concrete, and has provided very satisfactory results. This communication presents the work carried out to study the size effect of the specimen of plasterboard and rockwool in its mechanical and resistant behaviour. The authors designed an experimental campaign under mixed mode composed by testing specimens of different sizes. Assymetrical three-point bending tests have been performed on notched specimens, geometrically similar and of different size, to obtain load-displacement and load-crack moutn opening displacement curves. To numerically simulate the mixed-mode fracture behaviour of the panels we have used a finite element model with embedded crack, based on the cohesive crack model, using as input the experimental parameters obtained in previous work, obtaining a good adjustment. Based on these results we analyze the size effect of the panels
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Los paneles sándwich de yeso laminado y lana de roca presentan una abundante patología de fisuración debida a flechas excesivas de forjados. Existe, por tanto, la necesidad de avanzar en la simulación y predicción de comportamiento bajo solicitaciones de tracción y cortante de ese tipo de paneles, a pesar de que en las aplicaciones habituales no tienen responsabilidad estructural. El comportamiento de este material puede ser considerado cuasi-frágil, y en base a ello en este trabajo ha sido estudiado haciendo uso de modelos de fisura cohesiva, cuya aplicación a otros materiales cuasifrágiles, como el hormigón, ha aportado resultados muy satisfactorios. En esta comunicación se presenta el trabajo realizado para estudiar el efecto del tamaño del elemento de yeso laminado y lana de roca en su comportamiento mecánico-resistente. Para ello se diseñó una campaña de ensayos en modo mixto sobre probetas de diferente tamaño. Se han realizado ensayos de flexión en tres puntos en modo mixto de unas probetas entalladas, geométricamente similares y de diferente tamaño, obteniéndose las curvas carga-desplazamiento y cargaabertura de la boca de la entalla. Para simular numéricamente el comportamiento en fractura del panel en modo mixto se ha utilizado un modelo de elementos finitos con fisura embebida basado en la fisura cohesiva en el que se introducen como entrada los parámetros obtenidos a partir de la experimentación de trabajos anteriores, obteniéndose un buen ajuste. En función de estos resultados se analiza el efecto del tamaño en los paneles. Sandwich panels of laminated gypsum and rockwool have an abundant pathology of cracking due to excessive slabs deflection. Therefore, it is necessary to progress in the simulation and prediction of behaviour under tensile and shear load of such panels, although in typical applications have no structural responsability. The behaviour of this material may be considered quasi-brittle and, based on this idea, in this work has been studied using a cohesive crack model that has been applied to other quasi-brittle materials, such as concrete, and has provided very satisfactory results. This communication presents the work carried out to study the size effect of the specimen of plasterboard and rockwool in its mechanical and resistant behaviour. The authors designed an experimental campaign under mixed mode composed by testing specimens of different sizes. Assymetrical three-point bending tests have been performed on notched specimens, geometrically similar and of different size, to obtain load-displacement and load-crack moutn opening displacement curves. To numerically simulate the mixed-mode fracture behaviour of the panels we have used a finite element model with embedded crack, based on the cohesive crack model, using as input the experimental parameters obtained in previous work, obtaining a good adjustment. Based on these results we analyze the size effect of the panels.
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This paper focuses on the design of railway timetables considering a variable elastic demand profile along a whole design day. Timetabling is the third stage in the classical hierarchical railway planning process. Most of previous works on this topic consider a uniform demand behavior for short planning intervals. In this paper, we propose a MINLP model for designing non-periodic timetables on a railway corridor where demand is dependent on waiting times. In the elastic demand case, long waiting times lead to a loss of passengers, who may select an alternative transportation mode. The mode choice is modeled using two alternative methods. The first one is based on a sigmoid function and can be used in case of absence of information for competitor modes. In the second one, the mode choice probability is obtained using a Logit model that explicitly considers the existence of a main alternative mode. With the purpose of obtaining optimal departure times, in both cases, a minimization of the loss of passengers is used as objective function. Finally, as illustration, the timetabling MINLP model with both mode choice methods is applied to a real case and computational results are shown.
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In order to minimize car-based trips, transport planners have been particularly interested in understanding the factors that explain modal choices. Transport modelling literature has been increasingly aware 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 dealt with. The overall objective of the thesis is to develop a stepped methodology that integrate diverse perspectives to evaluate the willingness to change patterns of urban mobility in Madrid, based on four steps: (1st) analysis of causal relationships between both objective and subjective personal variables, and travel behavior to capture pro-car and pro-public transport intentions; (2nd) exploring the potential influence of individual trip characteristics and social influence variables on transport mode choice; (3rd) identifying built environment dimensions on travel behavior; and (4th) exploring the potential influence on transport mode choice of extrinsic characteristics of individual trip using panel data, land use variables using spatial characteristics and social influence variables. The data used for this thesis have been collected from a two panel smartphone-based survey (n=255 and 190 respondents, respectively) carried out in Madrid. Although the steps above are mainly methodological, the application to the area of Madrid allows deriving important results that can be directly used to forecast travel demand and to evaluate the benefits of specific policies that might be implemented in the area. The results demonstrated, respectively: (1st) transport policy actions are more likely to be effective when pro-car intention has been disrupted first; (2nd) the consideration of “helped” and “voluntary” users as tested here could have a positive and negative impact, respectively, on the use of public transport; (3rd) the importance of density, design, diversity and accessibility underlying dimensions responsible for land use variables; and (4th) there are clearly different types of combinations of social interactions, land use and time frame on travel behavior studies. Finally, with the objective to study the impact of demand measures to change urban mobility behavior, those previous results have been considered in a unique way, a hybrid discrete choice model has been used on a 5th step. Then it can be concluded that urban mobility behavior is not only ruled by the maximum utility criterion, but also by a strong psychological-environment concept, developed without the mediation of cognitive processes during choice, i.e., many people using public transport on their way to work do not do it for utilitarian reasons, but because no other choice is available. Regarding built environment dimensions, the more diversity place of residence, the more difficult the use of public transport or walking.
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This study analyses determinant factors in the taking of three basic decisions on the part of holidaymakers: going on holiday, foreign holidays and multi-destination holidays. We propose various research hypotheses relating to the impact on these decisions of various personal characteristics. The methodology used estimates various Binomial Logit models. The empirical application carried out in Spain on a sample of 3,781 individuals allows us to conclude that personal characteristics related to the chosen destination, personal restrictions and socio-demographic and psychographic characteristics are determinants of these decisions.
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El presente trabajo analiza los factores determinantes de la motivación cultural de los turistas a la hora de elegir un destino. Para ello se proponen diversas hipótesis de investigación relativas al impacto en dicha motivación cultural de varias características sociodemográficas, psicográficas y de comportamiento turístico. La aplicación empírica realizada en España sobre una muestra de ámbito nacional de 2.127 individuos permite concluir que mayores niveles de estudios, menores tamaños del hogar, mayor interés en conocer lugares nuevos y menor sensibilidad a los precios, conducen a una mayor motivación cultural. Especialmente curioso resulta el efecto curvilíneo obtenido para la variable edad: creciente en origen y decreciente a partir de un punto. Dada la relevancia de las dimensiones analizadas, las implicaciones para la gestión de destinos culturales son inmediatas.
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Transportation Department, Washington, D.C.
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Federal Transit Administration, Washington, D.C.
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Transportation Department, Joint Program Office for Intelligent Transportation Systems, Washington, D.C.
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Federal Highway Administration, Washington, D.C.
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Federal Highway Administration, Washington, D.C.
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Federal Transit Administration, Washington, D.C.