Diagnóstico do estado de estradas não pavimentadas atendidas pelo projeto de desenvolvimento sustentável - Microbacias II: o caso do município de Santa Isabel – SP – Brasil
The study aimed to diagnose the current state of unpaved roads that were recovered by the Sustainable Development Project Microbacias II - Access to the Market of the Government of the State of São Paulo. To do so, based on consultation with the documents provided by the Coordination of Integral Tec...
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| Tipo de recurso: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | Brasil |
| Institución: | Universidade Nove de Julho (UNINOVE) |
| Repositorio: | Biblioteca Digital de Teses e Dissertações da Uninove |
| Idioma: | portugués |
| OAI Identifier: | oai:localhost:tede/1754 |
| Acceso en línea: | http://bibliotecatede.uninove.br/handle/tede/1754 |
| Access Level: | acceso abierto |
| Palabra clave: | estradas de terra diagnóstico de estrada patologias em estradas de terra dirt roads diagnosis of road pathologies in dirt roads CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO |
| Sumario: | The study aimed to diagnose the current state of unpaved roads that were recovered by the Sustainable Development Project Microbacias II - Access to the Market of the Government of the State of São Paulo. To do so, based on consultation with the documents provided by the Coordination of Integral Technical Assistance (CATI), two roads were located in the municipality of Santa Isabel - SP. Afterwards, evaluation of the traffic conditions of these roads was applied based on subjective methodology, as proposed by Riverson et al. (1987), and objective methodology, according to Eaton and Beaucham (1995). A total of 22 sample units with extensions of 100 m each and with different areas were selected. The results of the diagnoses obtained by the different methodologies presented great divergence. Thus, for the subjective method, three classes of degrees of trafficability were found, being 36% good, 46% regular and 18% very bad. The results obtained by the objective method allowed the classification of four traffic classes, being 23% excellent, 27% very good, 23% good and 27% reasonable. They contribute, as they clarify the differences in the results of both methods and indicate the need for studies that seek to find the causes of such differences, as well as to propose adaptations to existing methods, so that, finally, the results contribute in fact to actions of the public power with ways to appropriate intervention. |
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