Detectando los desequilibrios dotacionales como generadores de problemas en la movilidad del distrito metropolitano de Quito
[EN] In metropolitan areas, daily mobility for work reasons, study, daily procedures, leisure and free time acquires great importance. This research aims to build a methodology for the analysis of daily mobility based on the use of intelligent systems that allow research the way to find the origin o...
| Autores: | , |
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| Formato: | capítulo de livro |
| Fecha de publicación: | 2021 |
| País: | España |
| Recursos: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | español |
| OAI Identifier: | oai:riunet.upv.es:10251/174660 |
| Acesso em linha: | https://riunet.upv.es/handle/10251/174660 |
| Access Level: | acceso abierto |
| Palavra-chave: | Geocomputing 3D Modelling Cultural Heritage Geodesy Geophysics Earth observation Cartography Environmental applications Mobility GIS Intelligent systems Imbalances Space distribution Displacements Movilidad SIG Sistemas inteligentes Desequilibrios Distribución espacial Desplazamientos |
| Resumo: | [EN] In metropolitan areas, daily mobility for work reasons, study, daily procedures, leisure and free time acquires great importance. This research aims to build a methodology for the analysis of daily mobility based on the use of intelligent systems that allow research the way to find the origin of congestion problems in urban mobility generated by imbalances in the spatial distribution of services, especially those that can be avoided with an adequate focus on the management of the provisioned location. This article addresses the analysis of the educational variable from the stages of compulsory education, in order to analyze the territorial distribution of these educational services, determine if there are areas with imbalances and define whether the provision of school units is related to the demand of the school-age population. Based on the algorithms used, it was obtained as a result that of the 1,269 neighborhoods / sectors that make up the Metropolitan District of Quito, 43% could reach an educational endowment balance, 46% tend to present a greater demand (south of the District and areas peri-urban), and the remaining 11% a greater offer (hypercenter of the city). In the article, concepts such as "forced mobility" and a partial redistribution simulation procedure (in which the terms "targeted demand", "targeted supply" and "targeted balance" are coined) are presented as inputs. |
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