Cartografía digital de percepción de usuarios basada en datos de redes sociales como recurso para el proyecto urbano
DOI:
https://doi.org/10.11606/gtp.v20i2.239013Palabras clave:
mapa digital, proceso de diseño, percepci´ón urbana, datos generados por usuariosResumen
Esta investigación se inscribe en el campo de estudios que buscan utilizar datos de redes sociales y plataformas colaborativas para la comprensión de fenómenos urbanos. Se busca entender de qué manera la visualización de estos datos en mapas de percepción de los usuarios puede ser aplicada como herramienta de diseño. El objetivo principal es evaluar las posibilidades de la cartografía digital de percepción de usuarios generada a través de datos de redes sociales como recurso de diseño mediante la evaluación de proyectistas. El objetivo secundario implica el desarrollo de un artefacto que consiste en una cartografía de las percepciones de los usuarios obtenidas de plataformas de redes sociales. Para ello, se adoptaron los siguientes procedimientos metodológicos: la construcción del problema junto a un grupo focal de expertos diseñadores de una agencia pública local; la recopilación y filtrado de datos de Google Maps e Instagram; el análisis de sentimientos con Amazon Comprehend; la producción de mapas de calor con Mapbox y un mapa interactivo con Google Earth; y la evaluación del artefacto por el grupo focal de expertos. Después del filtrado, se utilizaron los textos e imágenes de 77 publicaciones, de las cuales 54 fueron clasificadas como positivas, 16 como neutras, 5 como mixtas y 2 como negativas. La evaluación de los expertos señaló el potencial de ayuda de la herramienta en las siguientes etapas del proyecto: recepción de la demanda del proyecto; entrevistas y cuestionarios; evaluación de la satisfacción del usuario.
Descargas
Referencias
ALIZADEH, T.; SARKAR, S.; BURGOYNE, S. Capturing citizen voice online: Enabling smart participatory local government. Cities, 95, Article 102400, 2019.
Amazon Comprehend Documentation. Disponível em: <https://docs.aws.amazon.com/comprehend/>. Acesso em: 9 jul. 2025.
ATIENCIA, Y. et al. Spatio-temporal analysis: Using Instagram posts to characterize urban point-of-interest. 2020 Seventh International Conference on eDemocracy & eGovernment (ICEDEG). Anais...IEEE, 2020.
BAER, M. F.; PURVES, R. S. Window Expeditions: A playful approach to crowdsourcing natural language descriptions of everyday lived landscapes. Applied geography (Sevenoaks, England), v. 148, n. 102802, p. 102802, 2022.
BARNS, S. Platform urbanism: Negotiating platform ecosystems in connected cities. London: Palgrave Macmillan, 2020.
BENLI-TRICHET, M.C.; KÜBLER, D. The political origins of platform economy regulations. Understanding variations in governing Airbnb and Uber across cities in Switzerland. Policy & Internet 14(4), 2022, p.736-754. DOI: 10.1002/poi3.312
CAI, M. Natural language processing for urban research: A systematic review. Heliyon, v. 7, n. 3, p. e06322, 2021.
CAO, L. Participatory Governance in China:‘Informal public participation’through neighbourhood mobilisation. Environment and Planning C: Politics and Space,40(8), 2022, p. 1693–1710.
DAO, C.; QI, J. Seeing and thinking about urban blue–green space: Monitoring public landscape preferences using bimodal data. Buildings, v. 14, n. 5, p. 1426, 2024.
DENG, Z.; LIN, Y.; ZHAO, M.; WANG, S. Collaborative planning in the new media age: The Dafo Temple controversy, China. Cities. v. 45, June 2015, p. 41-50.
DRESCH, A.; LACERDA, D. P.; ANTUNES, J. A. V. Design Science Research: Método de Pesquisa para Avanço da Ciência e Tecnologia. 2015.
FERREIRA, W. S.; VALE, G. M. V.; CORRÊA, V. S. Diffusion of Innovation in Technological Platforms: The Uber Case. BAR Brazilian Administration Review. 19 (3), 2022. DOI: 10.1590/1807-7692bar2022210101
GHAHRAMANI, M. et al. Tales of a city: Sentiment analysis of urban green space in Dublin. Cities (London, England), v. 119, n. 103395, p. 103395, 2021.
HE, J.; LIN, Y.; HOOIMEIJER, P.; MONSTADT, J. Informal participation in digital planning: How can third parties use social media to shift power relations in planning? Computers Environment and Urban Systems. v. 114(2), September 2024. DOI:10.1016/j.compenvurbsys.2024.102193
HEIKINHEIMO, V. et al. Understanding the use of urban green spaces from user-generated geographic information. Landscape and urban planning, v. 201, n. 103845, p. 103845, 2020.
HO, E. et al. Sentiment and semantic analysis: Urban quality inference using machine learning algorithms. iScience, v. 27, n. 7, p. 110192, 2024.
HOU, Y. et al. Residents’ spatial image perception of urban green space through cognitive mapping: The case of Beijing, China. Forests, v. 12, n. 12, p. 1614, 2021.
HUAI, S.; VAN DE VOORDE, T. Which environmental features contribute to positive and negative perceptions of urban parks? A cross-cultural comparison using online reviews and Natural Language Processing methods. Landscape and urban planning, v. 218, n. 104307, p. 104307, 2022.
LANGE, Michiel de. The Smart City you love to hate: Exploring the role of affect in hybrid urbanism. The Hybrid city II: Subtle revolutions proceedings, Athens, ano 2, v. 5, p. 77-84, 2013. Disponível em: http://themobilecity.nl/2013/05/17/the-smart-city-you-love-to-hate-exploring-the-role-of-affect-in-hybrid-urbanism-hybrid-city-2-conference-abstract/.
LI, S. et al. Understanding how people perceive and interact with public space through Social Media Big Data: A case study of Xiamen, China. Land, v. 13, n. 9, p. 1500, 2024.
LIN, Y. A Comparison of selected Western and Chinese smart governance: The application of ICT in governmental management, participation and collaboration. Telecommunications Policy, 42(10), 2018. p. 800-809.
LIN, Y. Social media for collaborative planning: A typology of support functions and challenges. Cities 125(3):103641, June 2022. DOI: 10.1016/j.cities.2022.103641
LIN, Y.; KANT, S. Using Social Media for Citizen Participation: Contexts, Empowerment, and Inclusion. Sustainability. 13(12), 6635, 2021, DOI: 10.3390/su13126635
LIU, R.; XIAO, J. Factors affecting users’ satisfaction with urban parks through online comments data: Evidence from Shenzhen, China. International journal of environmental research and public health, v. 18, n. 1, p. 253, 2020.
KOWALIK, K. Social media as a distribution of emotions, not participation. Polish exploratory study in the EU smart city communication content. Cities. v. 108, Article102995, 2021.
MARTINO, M. et al. Senseable City. Senseable City, 2019. Disponível em: senseablecitylab.mit.edu/papers. Acesso em: 31 out. 2022.
MATTILA, H.; NUMMI, P. The challenge of the digital public sphere: Finnish experiences of the role of social media in participatory planning. Planning Theory &Practice, 23(3), 2022, p. 406–422.
MERMET, A. Can gentrification theory learn from Airbnb? Airbnbfication and the asset economy in Reykjavík. Environment and Planning A. v. 54(3): April 2021. DOI: 10.1177/0308518X221094616
PICON, Antoine; RATTI, Carlo. Mapping the Future of Cities: Cartography, Urban Experience, and Subjectivity, in New Geographies, n°9, 2017, pp. 64-67.
POELL, T.; VAN DIJCK, J. Social media and activist communication. In: The Routledge Companion to Alternative and Community Media, p. 527 – 537, 2015. DOI: 10.4324/9781315717241
QIAO, S.; YEH, A. G.-O. Understanding the effects of environmental perceptions on walking behavior by integrating big data with small data. Landscape and urban planning, v. 240, n. 104879, p. 104879, 2023.
RATTI, Carlo; CLAUDEL, Matthew. The city of tomorrow: Sensors, networks, hackers, and the future of urban life. 1. ed.: Yale University Press, 2018. 192 p. ISBN 978-0300204803.
REN, W. et al. Research on landscape perception of urban parks based on user-generated data. Buildings, v. 14, n. 9, p. 2776, 2024.
SPEAK, Andrew et al. #urbanforest: cultural ecosystem services of urban trees through the lens of Instagram. Journal of Place Management and Development, n. 4, v. 14, p. 497-513, 2021. DOI https://doi.org/10.1108/JPMD-08-2020-0079.
SONG, Y.; FERNANDEZ, J.; WANG, T. Understanding perceived site qualities and experiences of urban public spaces: A case study of social media reviews in Bryant Park, New York City. Sustainability, v. 12, n. 19, p. 8036, 2020.
TÖRNBERG, P. How sharing is the ‘sharing economy’? Evidence from 97 Airbnb markets. PLOS ONE 17(4): e0266998, 2022. DOI: 10.1371/journal.pone.0266998
TÖRNBERG, P.; SÖDERSTRÖM, O. Comparative platform urbanism: Cities in a world of platforms. Digital Geography and Society. V. 8, June 2025.
TSAKONAS, G.; PAPATHEODOROU, C. Analysing and evaluating usefulness and usability in electronic information services. Journal of information science, v. 32, n. 5, p. 400–419, 2006.
WILLIAMSON, W.; RUMING, K. Can social media support large scale public participation in urban planning? The case of the #MySydney digital engagement campaign. International Planning Studies, 25(4), 2020, p. 355–371.
YANG, L.; MARMOLEJO DUARTE, C.; MARTÍ CIRIQUIÁN, P. Quantifying the relationship between public sentiment and urban environment in Barcelona. Cities (London, England), v. 130, n. 103977, p. 103977, 2022.
Descargas
Publicado
Número
Sección
Licencia
Derechos de autor 2025 Maria Luisa Consalter Diniz, Rovenir Bertola Duarte

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
Autores que publicam nesta revista concordam com os seguintes termos:
- Autores mantém os direitos autorais e concedem à revista o direito de primeira publicação, com o trabalho simultaneamente licenciado sob a Licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 que permite o compartilhamento do trabalho com reconhecimento da autoria e publicação inicial nesta revista.
- Autores têm autorização para assumir contratos adicionais separadamente, para distribuição não-exclusiva da versão do trabalho publicada nesta revista (ex.: publicar em repositório institucional ou como capítulo de livro), com reconhecimento de autoria e publicação inicial nesta revista.
- Autores têm permissão e são estimulados a publicar e distribuir seu trabalho online (ex.: em repositórios institucionais ou na sua página pessoal) a qualquer ponto antes ou durante o processo editorial, já que isso pode gerar alterações produtivas, bem como aumentar o impacto e a citação do trabalho publicado (Veja O Efeito do Acesso Livre).
Datos de los fondos
-
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Números de la subvención Código de finaciamento 001 - processo 88887.608100/2021-00