Modelling perceived quality for urban public transport systems using weighted variables and random parameters
place - urban, ridership - perceptions, planning - service quality, planning - surveys
Perceived quality, Ordered probit, Urban public transport, Revealed preference survey
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.
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Echaniz, E., dell’Olio, L., & Ibeas, Á. (2017).Modelling perceived quality for urban public transport systems using weighted variables and random parameters. Transport Policy, Available online 10 June 2017. In Press, Corrected Proof.