PREDICTIVE ANALYSIS OF ROBBERIES TARGETING PUBLIC TRANSPORT USERS IN THE CITY OF MANAUS-AM
DOI:
https://doi.org/10.31060/rbsp.2026.v20.n2.2139Keywords:
Bus thef, Logistic regression, Interior of the bus, Bus stopAbstract
The intensification of the crime of robbery in buses has caused fear and insecurity for those users who use this type of mode for displacement in the urban areas of Brazilian cities. In this study, we sought to analyze the robberies in two different places where the users were at the time of the crime, whether inside the bus or at any bus stop. We applied the multiple logistic regression method to explain the chances of robbery occurrences inside the public transport in Manaus-AM in the year 2020, given the means employed, zone, shift, day of the week, sex and age of the victims. The model pointed out that the chances of robbery of those who are inside the bus are 5.8 times higher in relation to the users who are at some bus stop. The conclusion is the necessary urgency of the State to exercise its regulatory authority over these crimes to guarantee the security of public transport in order to protect the population, especially the poorest.
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