Identificación de asentamientos irregulares y diagnóstico de sus necesidades de infraestructura en Ciudad Juárez, Chihuahua, México

This dissertation presents an alternative to identify in a timely, reliable and effective manner irregular settlements, so that different levels of government can provide quick res-ponse to regularization problems, lack of infrastructure and urban services. This research work involves the development of a model of analysis based on the integration of physical attributes, socioeconomic attributes and the spatial organization of the urban environment, using remote sensing techniques, spatial analysis and census data. These physical attributes include terrain conditions, cooperative, flood, and risk zones. Socioeconomic attributes include income levels, sewage and adaptable water coverage, overcrowding level, center- periphery relationship and land value. The attributes of spatial organization and type of building ma-terials were collected from high-resolution satellite imagery and landscape metrics. These three groups of variables were integrated into a multi-criteria model for irregular settlement identification at Ciudad Juarez, Chihuahua, Mexico with a 97.66% of accuracy. The contribution of this research is to present a new reliable method to identify irregular settlements. The achieved results can provide a great asset to help urban development officials in decision making.