Modelling perceived quality for urban public transport systems using weighted variables and random parameters

Abstract: In this paper a methodology is proposed to consider the importance attributed by users to individual variables in a perceived quality analysis. A two stage ranking based attribute survey is proposed. Firstly, the attributes belonging to each group are ranked and secondly, each group is ranked according to its importance. A series of successive ordered probit models is proposed which also includes models considering systematic and random variations in user taste. The variables are weighted according to the individual and group rankings. The article concludes that increasing the complexity of the models improves their capacity to represent reality, however, there comes a point when the effort required to obtain sufficient data to feed the complexity of the models is not efficient and the time taken is not compensated by the improved predictions.

 Congreso: Congreso de Ingeniería del Transporte: CIT (12º: 2016 : Valencia)

Editorial: Elsevier

 Fecha de publicación: 01/09/2018

Nº de páginas: 9

Tipo de publicación: Comunicación a Congreso

DOI: 10.1016/j.tranpol.2017.05.006

ISSN: 0967-070X

Proyecto español: TRA2015-69903-R.

Url de la publicación: https://doi.org/10.1016/j.tranpol.2017.05.006