Resumen

GOMEZ EGUIARTE MARTINEZ, Alexei  y  SANCHEZ GUERRERO, Gabriel de las Nieves. Application of continuous distribution functions to model passenger demand in a light rail train line. Contad. Adm [online]. 2016, vol.61, n.1, pp.159-175. ISSN 0186-1042.  https://doi.org/10.1016/j.cya.2015.09.002.

Light rail train system of this work is a popular and efficient public transportation system serving over large areas of the Metropolitan Area of the Valley of Mexico. Passenger surveys show that the delay in the trains is the most important challenge to be met. Passenger demand is the most relevant information to schedule the train service. Few attempts have been made to address this problem; the lack of reliable information has been a serious constraint. The purpose of this research was to model the daily passenger demand using data from turnstiles located in the stations. Typical techniques were not used to model passenger demand. Therefore, research was focused on obtaining continuous distribution functions, which will adjust to the passenger demand for a particular train line and its stations. Transportation flow data for the whole of 2010 were collected and analyzed, and then they were entered into a statistical software supportable database. The proposed models were obtained by maximum likelihood estimation; they correspond to continuous probability distribution functions with support on the positive real numbers.

Palabras llave : Passenger demand; Random variable; Continuous distribution function; Collective transport system.