Espacialização dos acidentes de trânsito em Goiânia – GO nos anos 2014, 2015 e 2016

Abstract

For the National Traffic Department, a traffic accident is any harmful event involving a vehicle, the road, a man and / or animals and to be characterized, the presence of two of these factors is necessary. The road system of an urban region is the main environment in which traffic accidents occur and considering that the responsible for the planning and management of this environment is the Government in the three spheres of activity, it is expected that such problems should be minimized through Public Policies, in the most diverse fields of activity. The general objective of this thesis is to characterize traffic accidents in the urban road network of Goiania, and the specific objectives of this work sought to discuss the policies of prevention of traffic accidents, identify the location of the critical points of these accidents in the Goiânia – Goiás (Brazil) road network in the years 2014, 2015. and 2016,The adopted methodology is based on a set of data collection procedures throughout the 2000s for a contextualization of traffic accidents in Brazil and in the city of Goiania - Brazil, and for a shorter period to demonstrate, the relationships between traffic accidents in Goiânia and the urban characteristics of the accident occurrence, based on georeferenced databases of traffic accident records in public agencies responsible for the supervision and planning of urban mobility in the city of Goiania. Considering space as a public good and not only geographic, the public power in its obligation to maintain social harmony must mitigate actions of geographical surveillance of urban space, as we have seen here in the empirical research of this thesis and concludes that: space in disharmony with the system causes the grievance turning into accidents. Thus, it is of utmost importance that this space be carefully evaluated and that from this consideration of efficient and effective geographic surveillance becomes safe for the population.