ABSTRACT
A research proposal is presented that involves the identification of precise behavior patterns of vehicle drivers, as well as patterns that increase the accident rate in automotive companies, through the design and implementation of an Incidents of risk, their classification and analysis and georeferenced statistical presentation for planning and implementation purposes with greater precision and efficiency of preventive measures in terms of road safety. The methods used for data collection, the bias of significant information relevant to the identification of the factors of most important transit risk, since they use passive methods, through the reports of traffic or federal agents, where the circumstances of a mishap occurred based on third-party testimonials, or through sensors placed in specific places, leaving many others out of reach. It is, therefore, that the lack of accurate information, of a diminished volume, undescriptive and unrepresentative is established in this investigation as the principal cause that the strategies adopted in terms of accident prevention still do not achieve the effect that is required to mitigate the serious public health problem, since the resources destined for this purpose are not efficient and effective. According to the World Health Organization (WHO) in its Global Report on Road Safety in 2015, about 1.2 million people die each year on the roads around the world and between 20 and 50 million suffer from non-fatal injuries that often incapacitate individuals, preventing them from continuing to live a normal and productive life. In our country, according to the Pan American Health Organization, Traffic accidents are the first cause of death in the population of between 15 and 29 years of age and the second cause of orphanhood in Mexico (OPS, 2011). The report also mentions that these incidents have as a consequence more than 24 thousand deaths per year, 750 thousand serious injuries requiring hospitalization and more than 39 thousand annual disabilities. According to the same organization, 90% of road deaths are produced in low and middle-income countries, although this only corresponds to 48% of the world's vehicle fleet. In these countries, the costs implicit in the high recurrence of traffic accidents represent from 3% to 5% of the Gross Domestic Product. In our transversal research study, we compare four societies with high density and stressed bus drivers: Queretaro in Mexico, Bahia in Brazil, and Milano and Palermo in Italy, each one with more than a million people in their respective metropolitan areas.
