Abstract
ABSTRACT Roads provide the main means of transportation in Brazil. According to data from the Brazilian Department of Infrastructure and Transport, 96.2% of the passenger transportation and 61.8% of the cargo transportation are based on road infrastructure. However, three quarters of the Brazilian roads are in terrible, unsatisfactory or generally inadequate condition. Poor road conditions are responsible for a great number of accidents with severe consequences for the population and the environment. Given the importance of this matter, there is a need to develop an intelligent system for automatic classification of social and environmental sensitivity maps in order to support actions that respond to emergencies and to help in transportation planning, especially considering the heavy movement of hazardous cargo, such as petroleum and its derivates. For this, tools such as GIS (Geographic Information System) allow social-environmental and traffic engineering characterization maps to be analyzed on a unified, georeferenced digital base. This way, administrators can estimate which stretches of the network are more environmentally sensitive and which pose greater risks, and therefore draw inferences on the most socially and environmentally vulnerable. Social and environmental vulnerability data not only help in the classification of the areas which pose the greater risks, but also make it possible to decide on emergency support points, creating a culture of prevention in the area of hazardous cargo transportation. The case study on the state of Rio Grande do Norte provides a measure of the importance of such work. The city of Natal - the state capital - and the Guamarí petrochemical facility are interconnected by 180 Km Road, on which more than 100 tanker trucks loaded with diesel and its derivates travel every day. This road is classified as in poor conditions and, according to the Brazilian Roads Police, it is one of the most dangerous. The relevance of this work is to show how information consolidated to a single database, georeferenced in a GIS, can assist planning for the safe transport of oil and hazardous cargos, benefiting not only the state'S population but the environment as a whole.
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