988 resultados para BUS RAPID TRANSIT


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En los últimos tiempos, la proliferación de nuevos sistemas tranviarios en ciudades europeas con una imagen moderna, eficientes y accesibles ha provocado que los sistemas de autobuses convencionales se queden un poco obsoletos. Por este motivo han ido surgiendo en diferentes puntos del mundo los sistemas conocidos como Bus Rapid Transit (BRT), nacidos en Estados Unidos en la década de los 70, y que en Europa han adoptado el nombre de Bus with High Level of Service (BHLS). Estos sistemas BHLS mantienen la flexibilidad de los sistemas de autobús convencionales pero introducen algunas de las ventajas de los sistemas tranviarios, como pueden ser la velocidad, frecuencia, imagen, confort, etc. En el marco del proyecto europeo de investigación del 7º Programa Marco, EBSF (European Bus System of the Future), se ha desarrollado una metodología para evaluar los resultados de una serie de casos prácticos, en 7 ciudades europeas, que han puesto en marcha diferentes medidas en sus sistemas de autobuses con el objetivo de conseguir una nueva generación de autobuses que satisfaga las necesidades de los usuarios, cumpla con los requerimientos sociales y ambientales y responda a las necesidades de las ciudades. Entre estas medidas se encuentran la información en tiempo real, el diseño interno y externo del autobús, el aumento del número de puertas para mejorar el flujo de pasajeros, etc. Esta ponencia describe brevemente la metodología de evaluación desarrollada, así como los principales resultados de su aplicación a los casos de estudio.

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Bus rapid transit (BRT) systems are massive transport systems with medium/high capacity, high quality service and low infrastructure and operating costs. TransMilenio is Bogotá's most important mass transportation system and one of the biggest BRT systems in the world, although it only has completed its third construction phase out of a total of eight. In this paper we review the proposals in the literature to optimize BRT system operation, with a special emphasis on TransMilenio, and propose a mathematical model that adapts elements of the above proposals and incorporates novel elements accounting for the features of TransMilenio system.

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In the Jakarta Metropolitan Region (JMR), the lack of co-ordination and appropriate governance has resulted in paralyzing traffic jams at the metropolitan scale that cannot be resolved by a single government entity. The issue of metropolitan governance is especially crucial here as the JMR lacks an established and formally pre-designed system of governance (e.g., in a constitution or other legal regulations). Instead, it relies on the interaction, coordination and cooperation of a multitude of different stakeholders, ranging from local and regional authorities to private entities and citizens. This chapter offers a discussion on the various governance approaches relating to an appropriate institutional design required for transportation issues at the metropolitan scale. The case used is a regional Bus Rapid Transit (BRT) system as an extension to the metropolitan transport system. Institutional design analysis is applied to the case and three possible improvements - i) a ‘Megapolitan’ concept, ii) a regional spatial plan and iii) inter-local government cooperation; were identified that correspond to current debates on metropolitan governance approaches of regionalism, localism and new regionalism. The findings, which are relevant to similar metropolitan regions, suggest that i) improvements at the meso-level of institutional design are more readily accepted and effective than improvements at the macro-level and ii) that the appropriate institutional design for governing metropolitan transportation in the JMR requires enhanced coordination and cooperation amongst four important actors - local governments, the regional agency, the central government, and private companies.

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Dissertação para obtenção do grau de Mestre em Arquitectura com Especialização em Urbanismo, apresentada na Universidade de Lisboa - Faculdade de Arquitectura.

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El porvenir social y económico de una ciudad depende, en gran medida, de la eficiencia de su sistema de transporte; esto se ve reflejado en la capacidad de transportar personas y bienes de una forma sostenible, con los recursos disponibles. En la actualidad se encuentran en desarrollo sistemas de transporte masivo tipo Bus Rapid Transit [BRT] en siete ciudades colombianas, situación que genera la necesidad de dar seguimiento a su progreso y al crecimiento de su participación en la demanda de viajes unipersonales. El siguiente trabajo busca, a través de una simulación en dinámica de sistemas, describir el desarrollo de un sistema de transporte masivo, con el fin de otorgar una visión acerca del impacto de los parámetros operativos y la reinversión en el sistema y en el desarrollo e incremento de su demanda. Se plantean tres escenarios para evaluar diferentes políticas operativas y de reinversión en el sistema, analizando el comportamiento en su desarrollo.

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In this paper some mathematical programming models are exposed in order to set the number of services on a specified system of bus lines, which are intended to assist high demand levels which may arise because of the disruption of Rapid Transit services or during the celebration of massive events. By means of this model two types of basic magnitudes can be determined, basically: a) the number of bus units assigned to each line and b) the number of services that should be assigned to those units. In these models, passenger flow assignment to lines can be considered of the system optimum type, in the sense that the assignment of units and of services is carried out minimizing a linear combination of operation costs and total travel time of users. The models consider delays experienced by buses as a consequence of the get in/out of the passengers, queueing at stations and the delays that passengers experience waiting at the stations. For the case of a congested strategy based user optimal passenger assignment model with strict capacities on the bus lines, the use of the method of successive averages is shown.

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In this paper, a mathematical programming model and a heuristically derived solution is described to assist with the efficient planning of services for a set of auxiliary bus lines (a bus-bridging system) during disruptions of metro and rapid transit lines. The model can be considered static and takes into account the average flows of passengers over a given period of time (i.e., the peak morning traffic hour) Auxiliary bus services must accommodate very high demand levels, and the model presented is able to take into account the operation of a bus-bridging system under congested conditions. A general analysis of the congestion in public transportation lines is presented, and the results are applied to the design of a bus-bridging system. A nonlinear integer mathematical programming model and a suitable approximation of this model are then formulated. This approximated model can be solved by a heuristic procedure that has been shown to be computationally viable. The output of the model is as follows: (a) the number of bus units to assign to each of the candidate lines of the bus-bridging system; (b) the routes to be followed by users passengers of each of the origin–destination pairs; (c) the operational conditions of the components of the bus-bridging system, including the passenger load of each of the line segments, the degree of saturation of the bus stops relative to their bus input flows, the bus service times at bus stops and the passenger waiting times at bus stops. The model is able to take into account bounds with regard to the maximum number of passengers waiting at bus stops and the space available at bus stops for the queueing of bus units. This paper demonstrates the applicability of the model with two realistic test cases: a railway corridor in Madrid and a metro line in Barcelona Planificación de los servicios de lineas auxiliares de autobuses durante las incidencias de las redes de metro y cercanías. El modelo estudia el problema bajo condiciones de alta demanda y condiciones de congestión. El modelo no lineal resultante es resuelto mediante heurísticas que demuestran su utilidad. Se demuestran los resultados en dos corredores de las ciudades de Barcelona y Madrid.

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Transportation Department, Office of Research and Development Policy, Washington, D.C.

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In this paper, an introduction is provided to some of the components of China's transport system. The authors include the urban rail transit systems, the highway transport systems and its competition for China's railways and the reform of China's railway industry. This is the second of two papers on the situation of rail transport in China.

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Patients with chronic pancreatitis may have abnormal gastrointestinal transit, but the factors underlying these abnormalities are poorly understood. Gastrointestinal transit was assessed, in 40 male outpatients with alcohol-related chronic pancreatitis and 18 controls, by scintigraphy after a liquid meal labeled with (99m)technetium-phytate. Blood and urinary glucose, fecal fat excretion, nutritional status, and cardiovascular autonomic function were determined in all patients. The influence of diabetes mellitus, malabsorption, malnutrition, and autonomic neuropathy on abnormal gastrointestinal transit was assessed by univariate analysis and Bayesian multiple regression analysis. Accelerated gastrointestinal transit was found in 11 patients who showed abnormally rapid arrival of the meal marker to the cecum. Univariate and Bayesian analysis showed that diabetes mellitus and autonomic neuropathy had significant influences on rapid transit, which was not associated with either malabsorption or malnutrition. In conclusion, rapid gastrointestinal transit in patients with alcohol-related chronic pancreatitis is related to diabetes mellitus and autonomic neuropathy.

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Texas Department of Transportation, Austin

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Federal Transit Administration, Washington, D.C.

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Urban Mass Transportation Administration, Washington, D.C.

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Transportation Department, Office of University Research, Washington, D.C.