Conectividad vial en la gestión territorial: una mirada desde los indicadores sociales

Descripción del Articulo

The objective of this research is to analyze road connectivity in relation to the indicators of illiteracy, malnutrition, homes without access to water, non-monetary poverty and internet access. In the methodology for mapping road connectivity, distance weighting or inverse distance weighting (IDW)...

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Detalles Bibliográficos
Autores: Aronés Cisneros, Angel, Córdova Domínguez, Franck Bryan, Sánchez Arias, Lizbeth Gesenia, Vilela Aguilera, Brayan Pooll, Sánchez Vásquez, César Julio, Anampa Huanca, Luz Marina, Melgar Aliaga, Kevin Celso, Mendoza Ramírez, Franz Antony, Montellanos Cabrera, Harry Frank, Bautista Salazar, Edinsson Manuel
Formato: artículo
Fecha de Publicación:2024
Institución:Pontificia Universidad Católica del Perú
Repositorio:PUCP-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.pucp.edu.pe:20.500.14657/203012
Enlace del recurso:https://revistas.pucp.edu.pe/index.php/espacioydesarrollo/article/view/30153/27057
https://doi.org/10.18800/espacioydesarrollo.2024.007
Nivel de acceso:acceso abierto
Materia:Territorial Management
Cartography
Road Connectivity
Social Indicators
Gestión territorial
Cartografía
Conectividad vial
Indicadores sociales
https://purl.org/pe-repo/ocde/ford#5.07.00
Descripción
Sumario:The objective of this research is to analyze road connectivity in relation to the indicators of illiteracy, malnutrition, homes without access to water, non-monetary poverty and internet access. In the methodology for mapping road connectivity, distance weighting or inverse distance weighting (IDW) was used in the ArcGis 10.8 software, while the indicators for the districts have been extracted from GeoPerú. The results indicate that road connectivity plays a crucial role in the socio-economic development of the districts. Those with high connectivity, such as Moche, Huancán and Perené, have lower rates of illiteracy, malnutrition, homes without access to drinking water, non-monetary poverty and homes without internet compared to districts with low connectivity, such as El Porvenir, Santo Domingo de Acobamba and Pichanaqui. It is concluded that road infrastructure is a key factor in reducing inequality and improving living conditions in less developed areas.
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