An Ordered Regression Model to Predict Transit Passengers’ Behavioural Intentions Oña López, Juan José De Oña López, Rocío de Eboli, Laura Forciniti, Carmen Mazzulla, Gabriella 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 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 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. 2024-02-06T11:50:55Z 2024-02-06T11:50:55Z 2018 journal article Juan de Ona, Rocio de ona, Laura Eboli, Carmen Forciniti, Gabriella Mazzulla (2018) An Ordered Regression Model to Predict Transit Passengers’ Behavioural Intentions. Case Studies on Transport Policy, 6(4), 449-455. https://hdl.handle.net/10481/88417 10.1016/j.cstp.2018.05.004 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Elsevier