Crowdsourced geospatial data is reshaping urban sciences
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Título: | Crowdsourced geospatial data is reshaping urban sciences |
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Autor/es: | Huang, Xiao | Wang, Siqin | Lu, Tianjun | Liu, Yisi | Serrano-Estrada, Leticia |
Grupo/s de investigación o GITE: | Urbanística y Ordenación del Territorio en el Espacio Litoral | Economía de la Innovación y de la Inteligencia Artificial (ECO-IA) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Edificación y Urbanismo |
Palabras clave: | Crowdsourced geospatial data | Urban science | Big data | Urban informatics |
Fecha de publicación: | 1-feb-2024 |
Editor: | Elsevier |
Cita bibliográfica: | International Journal of Applied Earth Observation and Geoinformation. 2024, 127: 103687. https://doi.org/10.1016/j.jag.2024.103687 |
Resumen: | For many years, urban sciences relied heavily on traditional, authoritative data sources. However, a paradigm shift has occurred recently with the advent of citizen-driven data contribution. This evolution in data acquisition for urban science is attributable to advancements in positioning and navigation technologies, widespread use of digital devices, the rise of Web 2.0, enhanced broadband communications, and refined data management techniques. The significance of crowdsourced geospatial data in the realm of urban sciences is now widely acknowledged. A diverse array of novel data sources has been increasingly gaining prominence. These include, but are not limited to, social media platforms, street view images, GPS signals from cellphones, smartphone applications, transaction records, online mapping services, and sensor data crowdsourced from the public. This innovative approach to data collection, fuelled by contributions from individuals around the globe, opens up possibilities for accessing data that would otherwise remain untapped. This editorial aims to offer a unique perspective on how crowdsourced geospatial data is revolutionizing the field of urban sciences. We categorize the studies into five primary areas: 1) tourism, 2) urban visuals and perception, 3) urban infrastructure and functionality, 4) mobility and transportation, and 5) miscellaneous, and further discuss the challenges and opportunities that lie ahead for future research in this field. |
URI: | http://hdl.handle.net/10045/140862 |
ISSN: | 1569-8432 (Print) | 1872-826X (Online) |
DOI: | 10.1016/j.jag.2024.103687 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1016/j.jag.2024.103687 |
Aparece en las colecciones: | INV - ECO-IA - Artículos de Revistas INV - UOTEL - Artículos de Revistas |
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Archivo | Descripción | Tamaño | Formato | |
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Huang_etal_2024_IntJApplEarthObservatGeoinfo.pdf | 1,21 MB | Adobe PDF | Abrir Vista previa | |
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