SciELO - Scientific Electronic Library Online

 
vol.21 número1Un modelo de implementación de nueva tecnología utilizando un enfoque de pensamiento sistémicoSistema de producción multi-línea optimizado por PSO índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay artículos similaresSimilares en SciELO

Compartir


Ingeniería, investigación y tecnología

versión On-line ISSN 2594-0732versión impresa ISSN 1405-7743

Resumen

ESPEJO-FANDINO, Fredy Leandro. Analyze passengers’ boarding time in buses in the city of Bogota using a factorial design. Ing. invest. y tecnol. [online]. 2020, vol.21, n.1, e00005.  Epub 03-Ago-2020. ISSN 2594-0732.  https://doi.org/10.22201/fi.25940732e.2020.21n1.005.

Using an observational comparative study, boarding times per passenger in urban routes in the city of Bogota are analyzed through a factorial design. By measuring the dwell time at different bus stops in the city, prioritizing exclusively the cases where the users get on the buses, two treatment were incorporated into the experiment, the vehicular typology in three levels (small, medium middle and large size bus) and bus occupancy in two levels (few and many passengers standing). It was found that the original data do not follow a normal distribution and therefore the response variable was transformed to stabilize the variance. On the transformed data, by means of a two-factor analysis of variance, it was proved that the different vehicle typologies that operate in the public transport of the city, such as bus occupation, have effects on the boarding time per passenger. With multiple comparisons, it was found that small buses, for low and high levels of occupancy, show significantly different boarding times per passenger when compared against the medium and large size buses, and that the occupation of the bus generates significant differences in the response variable only for the medium bus and the large bus. The resulting model was a factorial design without interaction which produced an explanation of 46 % variability of the transformed data.

Palabras llave : Public transportation; passengers boarding; dwell time; vehicle occupancy; factorial design.

        · resumen en Español     · texto en Español     · Español ( pdf )