Revisiting the Spatial Definition of Neighborhood Boundaries: Functional Clusters versus Administrative Neighborhoods
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Título: | Revisiting the Spatial Definition of Neighborhood Boundaries: Functional Clusters versus Administrative Neighborhoods |
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Autor/es: | Martí Ciriquián, Pablo | Serrano-Estrada, Leticia | Nolasco-Cirugeda, Almudena | López Baeza, Jesús |
Grupo/s de investigación o GITE: | Urbanística y Ordenación del Territorio en el Espacio Litoral |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Edificación y Urbanismo |
Palabras clave: | Neighborhood boundaries | Functional clusters | Urban economic activities | Google Places | Social networks |
Área/s de conocimiento: | Urbanística y Ordenación del Territorio |
Fecha de publicación: | 1-jul-2021 |
Editor: | Routledge |
Cita bibliográfica: | Journal of Urban Technology. 2022, 29(3): 73-94. https://doi.org/10.1080/10630732.2021.1930837 |
Resumen: | This study revisits the debate surrounding the definition of neighborhood boundaries by addressing the disconnect between the city’s Administrative Neighborhoods and its functional organization. A method is proposed for dividing the city into more meaningful units through the spatial distribution of urban activities by retrieving data from Google Places. The dataset was pre-processed and spatially divided into Functional Clusters. A comparison between functional and administrative subdivisions of the city was undertaken, from which three overall conclusions could be drawn. First, a function-based city partition allows economically active urban areas to become the neighborhood’s center, thereby creating a polynuclear neighborhood structure that would potentially encourage greater cross-movement of people throughout the city. Second, the specialization of activities becomes more evident in Functional Clusters than in Administrative Neighborhoods. Third, access to up-to-date data makes possible a timely diagnosis of the quantity and diversity of urban activities—i.e., economic activities, services, and facilities—through Google Places data. The value of this contribution is to inform urban decision-making and policies in order to better balance the provision of a neighborhood’s economic activity. |
Patrocinador/es: | This work was supported by the Conselleria de Educación, Investigación, Cultura y Deporte, Generalitat Valenciana (Spain). Project: Valencian Community cities analyzed through Location-Based Social Networks and Web Services Data. Ref. no. AICO/2017/018. |
URI: | http://hdl.handle.net/10045/116635 |
ISSN: | 1063-0732 (Print) | 1466-1853 (Online) |
DOI: | 10.1080/10630732.2021.1930837 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1080/10630732.2021.1930837 |
Aparece en las colecciones: | INV - UOTEL - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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Marti_etal_2022_JUrbanTech.pdf | 3,87 MB | Adobe PDF | Abrir Vista previa | |
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