Culturally Diverse Street-Level Urban Activities through the Lens of Digital Footprints

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Title: Culturally Diverse Street-Level Urban Activities through the Lens of Digital Footprints
Authors: Martí Ciriquián, Pablo | Serrano-Estrada, Leticia | Aboutorabi, Mohsen
Research Group/s: Urbanística y Ordenación del Territorio en el Espacio Litoral
Center, Department or Service: Universidad de Alicante. Departamento de Edificación y Urbanismo
Keywords: Social media data | Street-scale | Urban activities | Field studies | Economic activities
Knowledge Area: Urbanística y Ordenación del Territorio
Issue Date: 9-Oct-2021
Publisher: MDPI
Citation: Martí P, Serrano-Estrada L, Aboutorabi M. Culturally Diverse Street-Level Urban Activities through the Lens of Digital Footprints. Sustainability. 2021; 13(20):11141. https://doi.org/10.3390/su132011141
Abstract: Acknowledging and sustaining the ethnic and cultural diversity that the phenomenon of globalization has brought to the urban environment is one of the target objectives to seek spatial and social sustainability in today’s cities. This study aims to build upon previous research approaches that sought to characterize culturally diverse, urban public spaces. For this purpose, a method that encompasses digital and physical layers of information has been proposed to gather signs of culturally diverse, street-level urban and economic activities. Geolocated data from three social media platforms, as well as field-work observations, were collected from two case study street segments with different socio-cultural, demographic profiles. The findings suggest that economic activities related to retail and restaurants, and especially those with higher levels of personalization that reflect “cultural specialisms”, have a significative relevance in both the physical and virtual domains. However, unlike the case study area with the higher socio-economic profile, the urban vibrancy observed through field work throughout the more culturally diverse street segment was not found to be fully represented by social media data. There is still much room for research on the extent to which these sources are useful for characterizing fine-grain street-scale phenomena.
Sponsor: This research was funded by Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana (GV/2021/177).
URI: http://hdl.handle.net/10045/118826
ISSN: 2071-1050
DOI: 10.3390/su132011141
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Peer Review: si
Publisher version: https://doi.org/10.3390/su132011141
Appears in Collections:INV - UOTEL - Artículos de Revistas

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