The Brazilian housing program, Minha Casa, Minha Vida (MCMV) (My House, My Life), was launched in 2009 to address the housing deficit issue, with the goal of distributing contracted housing units throughout the Brazilian territory. However, the program faces criticisms regarding the distribution of these units. Thus, this paper aims to analyze the distribution heterogeneity of these contracted housing units (CHUs). Two analytical approaches were employed: temporal and spatial (states). To achieve this objective, inferential methods such as Ordinary Least Squares (OLS), Spatial Autoregressive Model (SAR), and panel data regressions were employed. The findings indicate that, from a temporal perspective, there is a positive relationship between the urban housing deficit (UHD) and CHUs. However, the relationship is negative from a spatial perspective, characterizing such heterogeneity among the states. In addition, bordering regions are subject to mutual spatial influences in terms of contracted units, thereby reinforcing this heterogeneity over time.

The aim of this study was to investigate the factors that contribute to accidents at work on construction sites in the city of Fortaleza - CE. A total of 432 questionnaires were administered to workers at 10 different construction sites belonging to 6 different companies. Statistical models - Binary Logistic Regression (BLR) - were used to assess the likelihood of workplace accidents, correlating them with demographic, occupational and management variables. The main results showed that younger workers are more prone to accidents at work than older workers. The “Masonry, Subfloor and Structure” construction stage is more likely to have accidents than the “Installations, Facades and Finishes” construction stage. This research has contributed to a more detailed management view of local challenges, as well as to the field of knowledge dedicated to developing worker safety in high-risk environments.