The aim of this research was to identify and quantify the elements that influenced the trip satisfaction of people traveling by public transport, private car, or both. The data used in this research came from a revealed preference survey designed for global use and conducted in 2014, with most responses coming from Lisbon, Portugal, and Thessaloniki, Greece. These data include sociodemographic characteristics, public transport preferences, and trip characteristics obtained from trip diaries. A generalized logistic regression model was developed to assess the average trip satisfaction for all transit alternatives and the private car. In this model, satisfaction was expressed as a probability of satisfaction in 100 Bernoulli trials, and a final satisfaction rating was created. The results indicate that individual trip-specific attributes, such as crowdedness and traffic, are more important than network characteristics and performance. Attributes fixed for a specific trip, such as access time and parking costs, or having small variability, such as waiting time for the subway, are found to be completely insignificant with relation to satisfaction. The results also suggest that attributes affecting service reliability and comfort are the ones users value higher with respect to satisfaction. A conclusion one might draw from the results is that the characteristics of a transit system or road network do not affect trip satisfaction. These elements could play a more important role in the mode choice process, but the attributes that may vary from trip to trip are the ones that seem to affect trip satisfaction.


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    Titel :

    Measuring Satisfaction with Transit and Car Trips with Use of One Logistic Regression Model


    Weitere Titelangaben:

    Transportation Research Record


    Beteiligte:


    Erscheinungsdatum :

    2016-01-01




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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