Maestría en Matemática Aplicada

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Author: search.filters.author.Toscano Ramos, Orlando RubenSubject: search.filters.subject.Regresión logística

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    Modelo matemático para determinar la calidad de servicio en el transporte público urbano en la ciudad de Ambato
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Maestría en Matemática Aplicada, 2021) Toscano Ramos, Orlando Ruben; Benalcázar Palacios, Freddy Geovanny
    This research is quantitative, descriptive and correlational. The objective was to build a mathematical model that allows determining the quality of the urban public transport service in the city of Ambato in the period 2020 - 2021. The data were obtained through the survey technique with its instrument the questionnaire, the same as applied to 400 users who use public transport in the city of Ambato. To achieve the objectives proposed in the research, the binary logistic regression model was applied, which helps to classify and predict the quality of the urban public transport service in the city of Ambato The variables involved in this research were: as a dependent variable the quality of the service and as predictive or independent variables: the waiting time, the treatment of the user, the current state of the units and the way of driving of the carrier. For the processing and analysis of the data, the Microsoft Excel 2016 program and the free software RStudio version 4.0.1 were used. It is concluded that the constructed logistic regression model correctly adjusts to the predictor variables, the decision frontier yielded by the model was 0.6142 or 61.42%, which is used to determine the quality of the safe and unsafe service. The model correctly classifies 308 observations, of which 205 observations are classified as safe, representing 51.25% of the total data, while 103 observations were classified as unsafe, which is equivalent to 25.75%. With the analysis carried out, it was determined that the urban public transport of the city of Ambato is moderately safe, for which the pertinent authorities should place emphasis on improving the quality of the service.