The urban public transit sector for bus passengers has undergone significant strategic changes, motivated by the issue of qualitative management in its service. It has been noticed in the literature that management models, which consider sustainability, ecoefficiency and human capital, are able to value the business, combined with customer satisfaction, quality, and behavior. This article aims to conduct a bibliographical research with the aim of analyzing concepts related to the quality of public road transit service. The methodology was exploratory and explanatory through a literature review on intelligent public transit service models by users. Based on the proposed constructs, the results pointed to the following trinomial: Quality, Satisfaction, and Behavior. It was possible to identify, through the research, models that indicated that service satisfaction is directly related to quality. Nevertheless, the matter is not merely related to quality, but rather social, environmental and economic behavior. Findings were identified in the literature that pointed to the need to build an Intelligent Management Model for public transit, which are qualitative management methods that adapt to user needs, considering urban, environmental, social, behavioral and economic aspects.
I. INTRODUCTIONSatisfaction and the search for operational performance, translated into competence, has always been propitious to scientific discussion, whether in the academic setting or in the professional scope between companies.Many studies have shown that service quality affects customer satisfaction, which, in turn, influence behavioral intentions in relation to the service provided, as satisfaction is directly related to service quality, considering aspects such as: speed accessibility, comfort, regularity, punctuality, cleanliness, cost, proximity, and safety (OÑA, ESTÉVEZ, OÑA, 2020).Conversely, loyalty is directly related to behavioral issues of individuals, whether at the individual or collective level (OÑA, ESTÉVEZ, OÑA 2020).According to Machado et al. (2018), existing approaches to addressing customer perception data have two key challenges:(1) Heterogeneity of perceptions obtained by customers; and(2) Simultaneous questioning of attitudes that explain behavioral issues relating to the customer.According to Machado et al. (2018), the assessment of service quality based on the behavioral Filipe de Castro Quelhas et al.