Congresos de la Universitat Politècnica de València, CIT2016. Congreso de Ingeniería del Transporte

Por defecto: 
An Ordered Regression Model to Predict Transit Passengers’ Behavioural Intentions
Juan de Oña, Rocio de Oña, Laura Eboli, Carmen Forciniti, Gabriella Mazzulla

Última modificación: 04-06-2016


Passengers’ behavioural intentions after experiencing transit services can be viewed as signals that show if a customer continues to utilise a company’s service. Users’ behavioural intentions can depend on a series of aspects that are difficult to measure directly. More recently, transit passengers’ behavioural intentions have been just considered together with the concepts of service quality and customer satisfaction. Due to the characteristics of the ways for evaluating passengers’ behavioural intentions, service quality and customer satisfaction, we retain that this kind of issue could be analysed also by applying ordered regression models. This work aims to propose just an ordered probit model for analysing service quality factors that can influence passengers’ behavioural intentions towards the use of transit services. The case study is the LRT of Seville (Spain), where a survey was conducted in order to collect the opinions of the passengers about the existing transit service, and to have a measure of the aspects that can influence the intentions of the users to continue using the transit service in the future.


Palabras clave

transit systems; service quality; ordered probit models

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