Theoretical Social Traffic Plan for Homeless Situation: Analyzing Main Components of the Quantitative Variation of People Homeless in the Federal District

Abstract

The study explores the quantitative variation of homeless people (PSR) in the administrative regions (RA) of the Federal District (DF) in the year 2023. The proposed problem is about what effects public policies and other State actions generate on the variation quantitative PSR. The objective is to identify the possible effects of public policies, mapping each of the actions in particular. The Principal Component Analysis method was used to analyze the data, in addition to the requalify Artificial Intelligence software. Results: 1) the upper middle income group presents greater intolerance than the others, 2) the upper middle income group presents greater intolerance than the lower middle and low income groups, although less than the high income group, as greater rejection of others; 3) the low-middle income group has greater tolerance and less rejection than the high and high-middle income groups, although less tolerance and greater rejection than the low-income group; 4) the low-income group has greater tolerance and less rejection than the others. The results suggest that, 1) the position of administrative regions in the theoretical plan of the quantitative variation of people living on the streets differs according to the population's income, 2) higher incomes converge with an increase in intolerance and rejection in relation to PSR, 3) lower incomes converge with increased tolerance and reduced rejection in relation to PSR.