Holding Boarding Passengers to Improve Train Operation on Basis of an Economic Dwell Time ModelRevista : Transportation Research Record
Volumen : 2648
Páginas : 96-102
Tipo de publicación : ISI Ir a publicación
This paper aims to explain the factors that determine the dwell time of subway trains in Santiago, Chile. On the basis of morning rush-hour video recordings of Line 1s most critically congested station, Baquedano, explanatory variables were selected to adjust a mathematical model. The purpose behind this model was to identify which factors could be managed to increase the systems overall operation so as to reduce dwell times and improve passengers traveling experience. The model was obtained by adjusting a linear regression that considered the number of boarding passengers, the number of alighting passengers multiplied by the platforms occupancy level before and after the exchange, and the density inside the train (which had an exponential impact on dwell time). The models correlation coefficient was .65, and the trains passenger density was found to be the most significant variable, as it explained 73.6% of the trains average dwell time. In contrast to what might have been expected, the interaction between passengers getting off the train and the platforms occupancy level explained only 2.1% of the total dwell time. The conclusion of this study was that the passengers overall traveling experience could be improved by implementing a passenger management system throughout the platform and slightly reducing the dwell time of the trains. As Baquedano Station is one of the busiest stations of the subway network, reductions in the dwell time of trains could increase overall departure frequencies, which would increase the line capacity and improve network operation of all downstream stations.