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2015
DOI: 10.1016/j.tra.2015.05.001
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On passenger saturation flow in public transport doors

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Cited by 29 publications
(27 citation statements)
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References 8 publications
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“…For instance, the authors proved that a bus with 4 doors get a dwell time 17% lower that a bus with 3 doors. Similarly, Fernandez et al (2014) studied the passenger saturation flow (S) through public transport doors in the Human Dynamics Laboratory (LDH) at Universidad de los Andes. The authors showed that S could reach a range between 0.9 and 2.0 pass/s m, depending on the width of the door, the height of the step, and the passenger density.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, the authors proved that a bus with 4 doors get a dwell time 17% lower that a bus with 3 doors. Similarly, Fernandez et al (2014) studied the passenger saturation flow (S) through public transport doors in the Human Dynamics Laboratory (LDH) at Universidad de los Andes. The authors showed that S could reach a range between 0.9 and 2.0 pass/s m, depending on the width of the door, the height of the step, and the passenger density.…”
Section: Introductionmentioning
confidence: 99%
“…Different from the laboratory experiments done by Dameen et al [33], Fernandez et al [34], and Fujiyama et al [35], another behaviour observed at PAMELA was that the capacity of the train doors will not only depend on the door widths but also on the ratio R. If the value of R increases, then the number of lanes of flow for those passengers alighting will decrease. This was only presented in the crowded situations, due to the high number of passengers boarding and alighting (reaching more than 4 pass/m 2 ).…”
Section: Discussion and Future Workmentioning
confidence: 62%
“…In such a case, the alighting rate is 1.6 pass/s. Nonetheless, [34] only considered passenger alighting, and Fujiyama et al [35] stated that for a bidirectional flow (boarding and alighting) the station and vehicle should be designed with a vertical gap of 50 mm, reaching a maximum flow of 1.42 passengers per second. Moreover, Karekla and Tyler [36] proposed a model to predict the dwell time based on laboratory experiments, in which a small vertical gap can reduce the dwell time by 8%.…”
Section: Journal Of Advanced Transportationmentioning
confidence: 99%
“…El tercer grupo, que corresponde al de mayor foco de investigación y que se enfoca en la configuración del bus y el esquema de operación, ha encontrado que el tiempo de parada tiene relación con el número, ancho y altura de las puertas, método de pago, presencia de escalones (Sun et al, 2014;Fernández, 2015;Tirachini, 2015), así como con los períodos de operación durante el día y la tipología vehicular (El-Geneidy y Vijayakumar, 2011).…”
Section: Antecedentesunclassified