Táxigov: modernização, dimensionamento e gestão de transporte na Universidade Federal de Goiás

• Autor(a) principal: Oliveira, Márcya Cristina Gomes de
• Data de Publicação: 2023
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFG
• Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/13000
• topic: Transporte; TáxiGov; Modernização; Dimensionamento; Quilometragem; Transport; TaxiGov; Modernization; Sizing; Mileage; CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO::ADMINISTRACAO PUBLICA

The modernization of processes and procedures through the use of technology is a trend from which Public Administration has not been immune. The management models that guide the provision of the public service have, over the years, been developed and incorporated the use of digital tools into their day-to-day activities, combining them with economy and efficiency.Transport serving institutional demands also benefited from the use of technology. The combination of outsourcing, the internet and the Global Positioning System (GPS) enabled the development of a project called TáxiGov, which has the support of third-party providers and was designed to reduce service costs and modernize the process, from requesting to execution. , until accountability. The experience began in Brasilia - Distrito Federal DF and expanded in Public Administration. The high costs of vehicular maintenance of its own fleet are an incentive for public bodies to choose to join TáxiGov, which is what happened at the Federal University of Goiás (UFG), which debuted the use of TáxiGov between 2021 and 2022. analysis of the hiring documents showed the lack of a method capable of estimating the demand for transport in the institution. The aim of this study and its objective are, precisely, to identify a demand estimation mechanism for the transport service at UFG, in terms of mileage, in order to support the bidding processes for the provision of the transport service. Data were collected on the historical series of mileage traveled by UFG's own fleet between 2013 and 2022 and the mileage traveled under the TaxiGov contract. The method selected was linear regression analysis. The applied tests applied resulted in the equation represented by -60471*x + 671121, which demonstrated that there is a strong linear correlation between the data provided, which can support, in a robust way, the calculation of the demand for transport at the UFG in future contracts that need the indication of this value.