dor_id: 4120643

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850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: http://www.investigacionesgeograficas.unam.mx/index.php/rig/article/view/41793/41692

100.1.#.a: Ruiz Hernandez, Ivan Elias

524.#.#.a: Ruiz Hernandez, Ivan Elias (2015). Spatial modeling for irregular settlements identification and diagnosis in Ciudad Juárez, Chihuahua, Mexico. Investigaciones Geográficas; Núm. 87. Recuperado de https://repositorio.unam.mx/contenidos/4120643

245.1.0.a: Spatial modeling for irregular settlements identification and diagnosis in Ciudad Juárez, Chihuahua, Mexico

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Geografía, UNAM

264.#.0.c: 2015

264.#.1.c: 2015-01-28

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC 4.0 Internacional, https://creativecommons.org/licenses/by-nc/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico dianachg@igg.unam.mx

884.#.#.k: http://www.investigacionesgeograficas.unam.mx/index.php/rig/article/view/41793

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520.3.#.a: Since 2007, more than half of the world population lives in cities, causing that one of the biggest challenges of this demographic transition, which occurs mainly in developing countries since the 1970s, is providing decent housing to a growing urban population. This phenomenon, coupled with the particularities of land markets, triggers spontaneous settlements that occur in cities in an informal way and with major deficiencies in both the infrastructure and the quality of housing. Approximately one billion people worldwide live in deplorable housing conditions, lack of basic urban services and infrastructure. Most of this population lives in irregular settlements with extreme poverty within the major developing countries. The expansion of this type of settlement is considered as a visual manifestation of poverty itself. In 2000, the UN-HABITAT, organization of the United Nations, issued their “Millennium Declaration” in which primary goals were adopted by major world leaders to improve the living conditions of the population living in informal settlements. Although irregular land occupation is a frequent occurrence in the cities, currently there are no reliable estimation techniques to determine its extent and characteristics reliably and expeditiously. It is from this issue, that there is a need to develop a proposal for analysis to identify and delineate the irregular settlements to an urban scale and make a diagnosis of urban infrastructure needs. 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 response 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 materials 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.

773.1.#.t: Investigaciones Geográficas; Núm. 87

773.1.#.o: http://www.investigacionesgeograficas.unam.mx/index.php/rig/index

022.#.#.a: ISSN electrónico: 2448-7279; ISSN impreso: 0188-4611

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264.#.1.b: Instituto de Geografía, UNAM

doi: https://doi.org/10.14350/rig.41793

handle: 00f4c64c10bba9c5

harvesting_date: 2023-08-23 17:00:00.0

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245.1.0.b: Identificación de asentamientos irregulares y diagnóstico de sus necesidades de infraestructura en Ciudad Juárez, Chihuahua, México

last_modified: 2023-08-23 17:00:00

license_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode.es

license_type: by-nc

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Artículo

Spatial modeling for irregular settlements identification and diagnosis in Ciudad Juárez, Chihuahua, Mexico

Ruiz Hernandez, Ivan Elias

Instituto de Geografía, UNAM, publicado en Investigaciones Geográficas, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Entidad o dependencia
Instituto de Geografía, UNAM
Revista
Investigaciones Geográficas
Repositorio
Revistas UNAM
Contacto
Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

Cita

Ruiz Hernandez, Ivan Elias (2015). Spatial modeling for irregular settlements identification and diagnosis in Ciudad Juárez, Chihuahua, Mexico. Investigaciones Geográficas; Núm. 87. Recuperado de https://repositorio.unam.mx/contenidos/4120643

Descripción del recurso

Autor(es)
Ruiz Hernandez, Ivan Elias
Tipo
Artículo de Investigación
Área del conocimiento
Ciencias Sociales y Económicas
Título
Spatial modeling for irregular settlements identification and diagnosis in Ciudad Juárez, Chihuahua, Mexico
Fecha
2015-01-28
Resumen
Since 2007, more than half of the world population lives in cities, causing that one of the biggest challenges of this demographic transition, which occurs mainly in developing countries since the 1970s, is providing decent housing to a growing urban population. This phenomenon, coupled with the particularities of land markets, triggers spontaneous settlements that occur in cities in an informal way and with major deficiencies in both the infrastructure and the quality of housing. Approximately one billion people worldwide live in deplorable housing conditions, lack of basic urban services and infrastructure. Most of this population lives in irregular settlements with extreme poverty within the major developing countries. The expansion of this type of settlement is considered as a visual manifestation of poverty itself. In 2000, the UN-HABITAT, organization of the United Nations, issued their “Millennium Declaration” in which primary goals were adopted by major world leaders to improve the living conditions of the population living in informal settlements. Although irregular land occupation is a frequent occurrence in the cities, currently there are no reliable estimation techniques to determine its extent and characteristics reliably and expeditiously. It is from this issue, that there is a need to develop a proposal for analysis to identify and delineate the irregular settlements to an urban scale and make a diagnosis of urban infrastructure needs. 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 response 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 materials 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.
Idioma
spa
ISSN
ISSN electrónico: 2448-7279; ISSN impreso: 0188-4611

Enlaces