277 resultados para boarding


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2 scans, 1 as it actually appears, another with "auto color correct" - which perhaps reveals more detail... 1of2, 2of2. Many men identified on reverse

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Mode of access: Internet.

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Introducción: El boarding es el fenómeno que ocurre cuando existen pacientes hospitalizados en urgencias sin una cama de hospitalización a la cual trasladarse, en la literatura mundial se ha identificado como un factor que repercute en la calidad y seguridad de la atención en urgencias. Este trabajo busca describir la prevalencia de dicho fenómeno en el servicio de urgencias de la Fundación Santa fe de Bogotá Metodología: Estudio observacional de prevalencia. Se incluyeron pacientes del mes de octubre de 2015 atendidos por especialistas en medicina de emergencias de la Fundación Santa fe de Bogotá. Se tomaron datos del turno realizado (mañana, tarde y noche), y datos del servicio de urgencias para su descripción. Resultados: La mediana de ocupación por boarding en urgencias fue del 68% con un rango intercuartil de 54-75%; en términos de tiempo en minutos, la mediana fue de 1054 minutos, con un rango intercuartil de 621-1490. Existen diferencias numéricas del tiempo en minutos de acuerdo el turno (mañana: 992,77 DE 519, tarde:1584,13 DE 1000,27 noche:1304,13 DE 2126,43). Discusión: El tiempo de boarding reportado para urgencias de la Fundación Santa fe de Bogotá es comparativamente mayor al descrito en la literatura mundial, se deben explorar en estudios analíticos posteriores los factores o variables que se asocien a la presencia de este fenómeno.

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Transit agencies across the world are increasingly shifting their fare collection mechanisms towards fully automated systems like the smart card. One of the objectives in implementing such a system is to reduce the boarding time per passenger and hence reduce the overall dwell time for the buses at the bus stops/bus rapid transit (BRT) stations. TransLink, the transit authority responsible for public transport management in South East Queensland, has introduced ‘GoCard’ technology using the Cubic platform for fare collection on its public transport system. In addition to this, three inner city BRT stations on South East Busway spine are operating as pre-paid platforms during evening peak time. This paper evaluates the effects of these multiple policy measures on operation of study busway station. The comparison between pre and post policy scenarios suggests that though boarding time per passenger has decreased, while the alighting time per passenger has increased slightly. However, there is a substantial reduction in operating efficiency was observed at the station.

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This paper reports on the study of passenger experiences and how passengers interact with services, technology and processes at an airport. As part of our research, we have followed people through the airport from check-in to security and from security to boarding. Data was collected by approaching passengers in the departures concourse of the airport and asking for their consent to be videotaped. Data was collected and coded and the analysis focused on both discretionary and process related passenger activities. Our findings show the interdependence between activities and passenger experiences. Within all activities, passengers interact with processes, domain dependent technology, services, personnel and artifacts. These levels of interaction impact on passenger experiences and are interdependent. The emerging taxonomy of activities consists of (i) ownership related activities, (ii) group activities, (iii) individual activities (such as activities at the domain interfaces) and (iv) concurrent activities. This classification is contributing to the development of descriptive models of passenger experiences and how these activities affect the facilitation and design of future airports.

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The common approach to estimate bus dwell time at a BRT station is to apply the traditional dwell time methodology derived for suburban bus stops. In spite of being sensitive to boarding and alighting passenger numbers and to some extent towards fare collection media, these traditional dwell time models do not account for the platform crowding. Moreover, they fall short in accounting for the effects of passenger/s walking along a relatively longer BRT platform. Using the experience from Brisbane busway (BRT) stations, a new variable, Bus Lost Time (LT), is introduced in traditional dwell time model. The bus lost time variable captures the impact of passenger walking and platform crowding on bus dwell time. These are two characteristics which differentiate a BRT station from a bus stop. This paper reports the development of a methodology to estimate bus lost time experienced by buses at a BRT platform. Results were compared with the Transit Capacity and Quality of Servce Manual (TCQSM) approach of dwell time and station capacity estimation. When the bus lost time was used in dwell time calculations it was found that the BRT station platform capacity reduced by 10.1%.

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The common approach to estimate bus dwell time at a BRT station platform is to apply the traditional dwell time methodology derived for suburban bus stops. Current dwell time models are sensitive towards bus type, fare collection policy along with the number of boarding and alighting passengers. However, they fall short in accounting for the effects of passenger/s walking on a relatively longer BRT station platform. Analysis presented in this paper shows that the average walking time of a passenger at BRT platform is 10 times more than that of bus stop. The requirement of walking to the bus entry door at the BRT station platform may lead to the bus experiencing a higher dwell time. This paper presents a theory for a BRT network which explains the loss of station capacity during peak period operation. It also highlights shortcomings of present available bus dwell time models suggested for the analysis of BRT operation.