La contribución del Big Data al estudio de la sostenibilidad de la forma urbana

  1. Martí-Ciriquián, Pablo 1
  2. Nolasco-Cirugeda, Almudena 1
  3. Serrano-Estrada, Leticia 1
  1. 1 Área de Urbanística y Ordenación del Territorio. Universidad de Alicante
Revista:
Ciudad y territorio: Estudios territoriales

ISSN: 1133-4762 2659-3254

Año de publicación: 2022

Número: 1

Páginas: 13-36

Tipo: Artículo

DOI: 10.37230/CYTET.2022.M22.1 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Ciudad y territorio: Estudios territoriales

Objetivos de desarrollo sostenible

Resumen

La revolución de los datos masivos —Big Data— ha irrumpido con nuevas fuentes de datos y novedosas metodologías en el estudio de la ciudad. Entre estos datos sobresalen aquellos que están geolocalizados y, por tanto, ofrecen información precisa sobre los lugares de la ciudad en los que se generan o comparten; en este sentido, destacan los datos geolocalizados de las redes sociales. Esta información permite evaluar aspectos relacionados con la sostenibilidad de las ciudades y sus comunidades de acuerdo con los Objetivos de Desarrollo Sostenible—. A través de tres escalas de estudio —la ciudad, el barrio y el espacio público local— se abordan aquellas cuestiones que informan sobre: centralidad urbana, equilibrio de los distintos sistemas urbanos, densidad y distribución de actividades económicas y urbanas, presencia y preferencias ciudadanas y vitalidad en espacios públicos urbanos.

Referencias bibliográficas

  • A+T Research Group. (2015): Why density? Debunking the myth of the cubic watermelon. A+T architecture publishers.
  • A+T Research Group. (2016): Form & data: collective housing projects: an anatomic review = proyectos de vivienda social: una revisión anatómica. Vitoria-Gasteiz: A+T architecture.
  • Adelfio, M. & al. (2020): Social activity in Gothenburg’s intermediate city: mapping Third Places through social media data. Applied Spatial Analysis and Policy, (March), 1-33. https://doi.org/https://doi.org/10.1007/s12061-020-09338-3
  • Agryzkov, T. & al. (2015): Different models to visualise geolocated city data from social networks. En 3rd International Conference on Future Internet of Things and Cloud (pp. 687-692):https://doi.org/10.1109/FiCloud.2015.8
  • Agryzkov, T. & al. (2016): Measuring urban activities using Foursquare data and network analysis: a case study of Murcia (Spain): International Journal of Geographical Information Science, 1-22. JOUR. https://doi.org/10.1080/13658816.2016.1188931
  • Agryzkov, T. & al. (2016a): Analysing successful public spaces in an urban street network using data from the social networks Foursquare and Twitter. Applied Network Science, 1(12):https://doi.org/10.1007/s41109-016-0014-z
  • Agryzkov, T. & al. (2016b): Studying successful public plazas in the city of Murcia (Spain) using a ranking nodes algorithm and Foursquare data. En A. Wierzbicki, U. Brandes, F. Schweitzer, & D. Pedreschi (Eds.), Advances in Network Science. NetSci-X 2016. Lecture Notes in Computer Science (Vol. 9564, pp. 161-168): Springer, Cham. https://doi.org/10.1007/978-3-319-28361-6_13
  • Agryzkov, T. & al. (2017): A centrality measure for urban networks based on the eigenvector centrality concept. Environment and Planning B: Urban Analytics and City Science, 1(22). https://doi.org/10.1177/2399808317724444
  • American Planning Association. (2021): LBCS Function Dimension with Descriptions.https://www.planning.org/lbcs/standards/function/
  • Arnáiz, M. & Ruiz Apilánez, B. & de Ureña, J.M. (2013): El análisis de la traza mediante Space Syntax. Evolución de la accesibilidad configuracional de las ciudades de Toledo y Alcalá de Henares. Zarch, (1), 128-141.
  • Artmann, M. & Bastian, O. & Grunewald, K. (2017): Using the Concepts of Green Infrastructure and Ecosystem Services to Specify Leitbilder for Compact and Green Cities—The Example of the Landscape Plan of Dresden (Germany): Sustainability, 9(2), 198. https://doi.org/10.3390/su9020198
  • Barke, M. (2018): The importance of Urban Form as an Object of Study. En Teaching Urban Morphology (pp. 11-28): Springer International Publishing AG.
  • Bartzokas-tsiompras, A. & Photis, Y. N. (2021): Microscale walkability indicators for fifty-nine European central urban areas: An open-access tabular dataset and a geospatial web-based platform. Data in Brief, 36(May): https://doi.org/10.1016/j.dib.2021.107048
  • Batty, M. (2016): Big Data and the city. Built Environment, 42(3), 321-337.https://doi.org/10.2148/benv.42.3.321
  • Benedict, M. A. & McMahon, E. T. (2006): Green Infrastructure: Linking Landscapes and Communities. (The Conservation Fund, Ed.): Washington-Covelo-London: Island Press.
  • Berghauser Pont, M. (2011): Measuring urban form. Atlantis, 22, 16-19. https://doi.org/1387-3679
  • Berghauser Pont, M. & Haupt, P. (2004): Spacemate: the spatial logic of urban density. Delft: Delft University Press.
  • Bibri, S. E. & Krogstie, J. (2017): ICT of the new wave of computing for sustainable urban forms: Their big data and context-aware augmented typologies and design concepts. Sustainable Cities and Society, 32(7030), 449-474. https://doi.org/10.1016/j.scs.2017.04.012
  • Boeing, G. (2018): Measuring the complexity of urban form and design. URBAN DESIGN International, 23(4), 281-292. https://doi.org/10.1057/s41289-018-0072-1
  • Boeing, G (2020): Exploring Urban Form Through Openstreetmap Data. En J. Hollander & A. Sussman (Eds.), Urban Experience and Design: Contemporary Perspectives on Improving the Public Realm (pp. 167-184): Abingdon, England: Routledge. https://doi.org/10.4324/9780367435585-15
  • Boeing, G (2021): Spatial information and the legibility of urban form: Big data in urban morphology. International Journal of Information Management, 56(February), 1-20. https://doi.org/10.1016/j.ijinfomgt.2019.09.009
  • Carpio-Pinedo, J. & Gutiérrez, J. (2020): Consumption and symbolic capital in the metropolitan space: Integrating ‘old’ retail data sources with social big data. Cities, 106(November), 102859. https://doi.org/10.1016/j.cities.2020.102859
  • Che, D. & Safran, M. & Peng, Z. (2013): From big data to big data mining: challenges, issues, and opportunities. En B. Hong & X. Meng & L. Chen & W. Winiwarter & W. Song (Eds.), Database Systems for Advanced Applications. DASFAA 2013. Lecture Notes in Computer Science (Vol. 7827): Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-40270-8_1
  • Chen, Y. & al. (2017): Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance-based k-medoids method. Landscape and Urban Planning, 160, 48-60. https://doi.org/10.1016/j.landurbplan.2016.12.001
  • Crooks, A. T. & al. (2016): User-generated big data and urban morphology. Built Environment, 42(3), 396-414. https://doi.org/10.2148/benv.42.3.396
  • De Waal, M. (2018): A city is not a galaxy. Understanding the city through urban data. En Data and the city (pp. 17-30): New York: Routledge.
  • Dupuy, G. (1998): El urbanismo de las redes: teorías y métodos. Barcelona: Oikos-Tau [etc.].
  • Gao, S. & Liu, Y. & Kang, Y. & Zhang, F. (2021): User-Generated Content: A Promising Data Source for Urban Informatics. En W. Shi & al. (Eds.), Urban Informatics (pp. 503-522): Springer Singapore. https://doi.org/10.1007/978-981-15-8983-6
  • Granell, C. & Ostermann, F. O. (2016): Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management. Computers, Environment and Urban Systems, 59, 231-243. https://doi.org/10.1016/j.compenvurbsys.2016.01.006
  • Gutiérrez Puebla, J. (2018): Big Data y nuevas geografías: la huella digital de las actividades humanas. Documents d’Anàlisi Geogràfica, 64(2), 195-217. https://doi.org/10.5565/rev/dag.526
  • Gutiérrez Puebla, J & al. (2020): Cómo aplicar Big Data en la planificación del transporte: el uso de los datos GPS en el análisis de la movilidad urbana. Banco Interamericano de Desarrollo. Nota Técnica IDB-TN-1944. https://doi.org/http://dx.doi.org/10.18235/0002487
  • Hallman, H. W. (1984): Neighborhoods: their place in urban life. SAGE Publications Ltd.
  • Hillier, B. & Hanson, J. (1984): The Social Logic of Space. Cambridge Universtiy Press.
  • Huang, J. & al. (2021): The image of the City on social media: A comparative study using “Big Data” and “Small Data” methods in the Tri-City Region in Poland. Landscape and Urban Planning, 206. https://doi.org/10.1016/j.landurbplan.2020.103977
  • Ilieva, R. T. & McPhearson, T. (2018): Social-media data for urban sustainability. Nature Sustainability, 1(10), 553-565. https://doi.org/10.1038/s41893-018-0153-6
  • Jabareen, Y. R. (2006): Sustainable urban forms: Their typologies, models, and concepts. Journal of Planning Education and Research, 26(1), 38-52. https://doi.org/10.1177/0739456X05285119
  • Jacobs, J. (1969): The economy of cities. New York: Random House.
  • Jeffres, L. W. & al. (2009): The impact of Third Places on community quality of life. Applied Research Quality Life, 4, 333-345. https://doi.org/10.1007/s11482-009-9084-8
  • Jenks, M. (2000): The acceptability of Urban Intensification. En K. Williams & E. Burton & M. Jenks (Eds.), Achieving Sustainable Urban Form. London: E&FN Spon.
  • Jenks, M. & Jones, C. (2010): Dimensions of Sustainable City Form (Vol. 2): https://doi.org/10.1007/978-1-4020-8647-2
  • Jenks, M. & Burton, E. & Williams, K. (1996): Compact cities and Sustainability: an introduction. En The compact city: a sustainable urban form? London: E&FN Spon.
  • Jiang, B. & Claramunt, C. (2002): Integration of space syntax into GIS: New perspectives for urban morphology. Transactions in GIS, 6(3), 295-309. https://doi.org/10.1111/1467-9671.00112
  • Kitchin, R. (2013): Big data and human geography: opportunities, challenges and risks. Dialogues in Human Geography, 3(3), 262-267. https://doi.org/10.1177/2043820613513388
  • Kitchin, R & Lauriault, T. P. & Mcardle, G. (2018): Data and the city. New York: Routledge.
  • Kong, L. & Liu, Z. & Wu, J. (2020): A systematic review of big data-based urban sustainability research: State-of-the-science and future directions. Journal of Cleaner Production, 273(July), 123142. https://doi.org/10.1016/j.jclepro.2020.123142
  • Kovacs-györi, A. & al. (2020): Opportunities and Challenges of Geospatial Analysis for Promoting Urban Livability in the Era of Big Data and Machine Learning. International journal of Geo-Information, 9(752), 1-20. https://doi.org/10.3390/ijgi9120752
  • Kropf, K. (1996): Urban tissue and the character of towns. Urban Design International, 1(3), 247-263. https://doi.org/10.1057/udi.1996.32
  • Kropf, K. (2017): The handbook of urban morphology (1.a; 1.a ed.): Hoboken: Wiley.
  • Leetaru, K. & Wang, S. & Cao, G. & Padmanabhan, A. & Shook, E. (2013): Mapping the global Twitter heartbeat: The geography of Twitter. First Monday, 18(5): https://doi.org/10.5210/fm.v18i5.4366
  • Liu, S. & al. (2020): A new urban vitality analysis and evaluation framework based on human activity modeling using multi-source big data. ISPRS International Journal of Geo-Information, 9(11): https://doi.org/10.3390/ijgi9110617
  • Lloyd, A. & Cheshire, J. (2017): Deriving retail centre locations and catchments from geo-tagged Twitter data. Computers, Environment and Urban Systems, 61, 108-118.https://doi.org/10.1016/j.compenvurbsys.2016.09.006
  • López Baeza, J. & Serrano Estrada, L. & Nolasco-Cirugeda, A. (2016): Percepción y uso social de una transformación urbana a través del social media. Las setas gigantes de la calle San Francisco. I2 Innovación e Investigación en Arquitectura y Territorio, 4(2): https://doi.org/10.14198/i2.2016.5.03
  • Lorente Riverola, I. (2020): La ciudad celular: morfología y complejidad urbana de las plataformas digitales de servicios basados en la geolocalización en Madrid. Universidad Politécnica de Madrid.
  • Lynch, K. (1960): The image of the city. Cambridge, Massachusetts: The MIT press.
  • Lynch, K. (1981): Good city form. Cambridge, Massachusetts: The MIT press.
  • Marat-Mendes, T. (2013): Sustainability and the study of urban form. Urban Morphology, 17, 123-124.
  • Marat-Mendes, T. & Bento, P. & Borges, J. C. (2021): Concepts and definitions for a sustainable planning transition: lessons from moments of change. European Planning Studies, 0(0), 1-23. https://doi.org/10.1080/09654313.2021.1894095
  • Maretto, M. (2014): Sustainable Urbanism: the role of urban morphology. Urban Morphology, 18, 163-164.
  • Martí Ciriquián, P. & Nolasco-Cirugeda, A. & Serrano-Estrada, L. (2019): Los datos geolocalizados de las redes sociales en el estudio de cuestiones urbanas complejas: cinco temas, cinco redes. ACE: Architecture, City and Environment, 14(41), 83. https://doi.org/10.5821/ace.14.41.8217
  • Martí, P. & al. (2020): Green infrastructure planning: Unveiling meaningful spaces through Foursquare users’ preferences. Land Use Policy, 97(March), 104641.https://doi.org/10.1016/j.landusepol.2020.104641
  • Martí, P & García-Mayor, C. & Serrano-Estrada, L. (2019): Identifying opportunity places for urban regeneration through LBSNs. Cities, 90(February), 191-206. https://doi.org/10.1016/j.cities.2019.02.001
  • Martí, P & al. (2021): The potential of location-based social networks for participatory urban planning. En Smart Cities and the un SDGs (pp. 107-123): Elsevier. https://doi.org/10.1016/B978-0-323-85151-0.00008-7
  • Martí, P & Serrano-Estrada, L. & Nolasco-Cirugeda, A. (2017a): Morphological and functional attributes of preferred urban public spaces in Alicante province. En D. Urios & J. Colomer & A. Portales (Eds.), Conference Proceedings. Book of Papers. 24th ISUF International Conference: City and Territory in the Globalization Age (pp. 1147-1155): Valencia. https://doi.org/http://dx.doi.org/10.4995/ISUF2017.2017.7017
  • Martí, P & Serrano-Estrada, L. & Nolasco-Cirugeda, A. (2017b): Using locative social media and urban cartographies to identify and locate successful urban plazas. Cities, 64, 66-78.https://doi.org/10.1016/j.cities.2017.02.007
  • Martí, P & Serrano-Estrada, L. & Nolasco-Cirugeda, A.& (2019): Social Media data: Challenges, opportunities and limitations in urban studies. Computers, Environment and Urban Systems, 74(March), 161-174. https://doi.org/10.1016/j.compenvurbsys.2018.11.001
  • Martí, P & Serrano-Estrada, L. & Nolasco-Cirugeda, A. & López Baeza, J. (2021): Revisiting the spatial definition of neighborhood boundaries: LBSN-based Functional Clusters versus Administrative Neighborhoods. Journal of Urban Technology, 0(0), 1-26https://doi.org/10.1080/10630732.2021.1930837
  • Matesanz Parellada, Á. & Hernández Aja, A. (2018): Evolución de los parámetros del enfoque integrado en las políticas urbanas en los barrios vulnerables en España. Gestión y Análisis de Políticas Públicas, (20), 82-99. https://doi.org/10.24965/gapp.v0i20.10488
  • Montgomery, J. (1998): Making a city: urbanity, vitality and urban design. Journal of Urban Design, 3(1), 93-116. https://doi.org/10.1080/13574809808724418
  • Moudon, A. V. (1997): Urban morphology as an emerging interdisciplinary field. Urban Morphology, 1, 3-10.
  • Naciones Unidas. (2018): Macrodatos para el desarrollo sostenible. https://www.un.org/es/global-issues/big-data-for-sustainable-development
  • Naciones Unidas. (2020a): Objetivo 11: Ciudades y comunidades sostenibles. https://www.un.org/sustainabledevelopment/es/cities/
  • Naciones Unidas. (2020b): Objetivo 9: Construir infraestructuras resilientes, promover la industrialización sostenible y fomentar la innovación.https://www.un.org/sustainabledevelopment/es/infrastructure/
  • Narvaez, L. (2021): Urban Morphology and the Economic Performance of Residential Urban Landscape, En Cermasi, O (Ed.) Space Syntax applicato allo studio dei pattern economici della citta di Cardiff (pp. 91-129) Bolonia, Italia: Bolonia University Press.
  • Nolasco Cirugeda, A. & Serrano Estrada, L. & Martí Ciriquián, P. (2019): Expresión de fenómenos urbanos efímeros a partir de las redes sociales. Zarch, (13), 164-177.https://doi.org/10.26754/ojs_zarch/zarch.2019133908
  • Oldenburg, R. (1989): The Great Good Place. New York, EEUU: Paragon House.
  • OpenStreetMap contributors. (2021): OpenStreetMap. https://www.openstreetmap.org/
  • Osorio Arjona, J. & García Palomares, J. C. (2017): Nuevas fuentes y retos para el estudio de la movilidad urbana. Cuadernos Geográficos, 56(3), 247-267.https://doi.org/10.30827/cuadgeo.v56i3.5352
  • Pérez del Hoyo, R. & Visvizi, A. & Mora, H. (2021): Inclusiveness, safety, resilience, and sustainability in the smart city context. En Smart Cities and the UN SDGs (pp. 15-28): Elsevier.https://doi.org/10.1016/B978-0-323-85151-0.00002-6
  • Porta, S. & Crucitti, P. & Latora, V. (2006): The network analysis of urban streets: A primal approach. Environment and Planning B: Planning and Design, 33(5), 705-725. https://doi.org/10.1068/b32045
  • Porta, S. & al. (2012): Street Centrality and the Location of Economic Activities in Barcelona. Urban Studies, 49(7), 1471-1488. https://doi.org/10.1177/0042098011422570
  • Porta, S. & al. (2009): Street centrality and densities of retail and services in Bologna, Italy. Environment and Planning B: Planning and Design, 36(3), 450-465. https://doi.org/10.1068/b34098
  • Prieto, P. & al. (2018): Identificación, clasificación y análisis de las formas urbanas en ciudades medias: aplicación a las capitales provinciales de Castilla-La Mancha. Anales de Geografía de la Universidad Complutense, 38(1), 87-112. http://dx.doi.org/10.5209/AGUC.60470
  • Rogers, R. & Gumuchdjian, P. (2008): Ciudades para un pequeño planeta. Barcelona: Gustavo Gili.
  • Rueda, S. (1997): La ciudad compacta y diversa frente a la conurbación difusa. Ciudades para un futuro más sostenible.
  • Ruiz Sánchez, J. (2012): Ciudad, complejidad y energía. Ciudad y territorio: Estudios territoriales, (171), 73-86.
  • Sachs, J. D. (2015): The Age of Sustainable Development. Nueva York: Columbia University Press.
  • Salat, S. & Labbé, F. & Nowacki, C. (2011): Cities and forms: on sustainable urbanism. Paris: CSTB Urban Morphology Laboratory.
  • Serrano Estrada, L. & Bernabéu Bautista, A. & Martí, P. (2020) Actividades económicas y urbanas en ejes estructurantes metropolitanos. Revista Urbano, 42, 80-97.
  • Sevtsuk, A. (2010): Path and place a study of urban geometry and retail activity in Cambridge and Somerville, MA. Massachusetts Institute of Technology.
  • Space Syntax Network. (2021): Introduction to Space Syntax Network. https://www.spacesyntax.net/
  • The Urban Task Force. (2005): Towards an Urban Renaissance. Final Report of the Urban Task Force. London: Taylor & Francis Group.
  • Tufekci, Z. (2014): Big questions for social media big data: Representativeness, validity and other methodological pitfalls. ICWSM ’14: Proceedings of the 8th International AAAI Conference on Weblogs and Social Media, 505-514.
  • UN-Global Pulse. (2012): Big Data for Development: Challenges & Opportunities.https://unstats.un.org/unsd/trade/events/2014/Beijing/documents/globalpulse/Big%20Data%20for%20Development%20-%20UN%20Global%20Pulse%20-%20June2012.pdf
  • UN-Global Pulse. (2018): UN-Global Pulse. https://www.unglobalpulse.org/
  • Xu, F. & Nash, N. & Whitmarsh, L. (2020): Big data or small data? A methodological review of sustainable tourism. Journal of Sustainable Tourism, 28(2), 147-166.https://doi.org/10.1080/09669582.2019.1631318
  • Yunjie Li. (2015): Mapping the privatization of public space. Evidence from 75,000 Instagrams. Boston: SlideShare.