Methodological design and application of NVIVO for a perceptual analysis of green infrastructure in the periph-ery of Madrid

dc.centroUniversidad San Pablo-CEU
dc.contributor.authorSanto-Tomás Muro, Rocío
dc.contributor.authorSáenz de Tejada Granados, Carlota
dc.contributor.authorRodríguez Romero, Eva Juana
dc.contributor.otherUniversidad San Pablo-CEU. Escuela Politécnica Superior
dc.contributor.otherGrupo: Patrimonio, Arquitectura y Paisaje (PAyP)
dc.date2022
dc.date.accessioned2023-05-24T04:00:20Z
dc.date.available2023-05-24T04:00:20Z
dc.date.issued2022-05-05
dc.descriptionEste artículo es la versión pre-print de la publicación final
dc.description.abstractThe complexity of the study of landscape and urban green infrastructure, and the perceptual aspects required to characterize them, calls for a qualitative analysis. To-gether with a series of case studies details and nuances arise when analyzing what the liter-ature has called the "non-expert" view of the landscape. The study of urban green infra-structure, specifically its perception, is carried out using a qualitative methodology, with an analysis based on NVIVO software. We coded a series of semi-structured interviews conducted in metropolitan parks on the city-center fringe. The coding process, although not linear, is increasingly selective and specific, starting with an open coding (general, of all the interviews), followed by an axial coding, and finishing with a selective coding, so that a correlation is created between the most referenced concepts throughout the interviews (called "nodes"). The main objective of the proposed methodological analysis is to shed light on the perception of the elements that are part of the green infrastructure network of the Madrid metropolitan area. The following nomenclature was used to refer to de views on the landscape: "technical" (or trained) and "everyday" (or day-to-day) to refer to the views of the landscape. In the light of the results obtained from the qualitative analysis of the interviews, we can see how a relatively small sample can yield significant conclusions regarding both the methodology itself and issues intrinsically linked to landscape such as place attachment, sense of belonging, relationship with the surroundings or image of the city. Results were also obtained in relation to the urban green infrastructure itself, such as levels and relevance of connectivity, multifunctionality and accessibility.en_EN
dc.formatapplication/pdf
dc.identifier000000739191
dc.identifier.citationSanto-Tomás Muro, R., Rodríguez Romero, E.J., Sáenz de Tejada Granados, C. (2022). Methodological Design and Application of NVIVO for a Perceptual Analysis of Green Infrastructure in the Periphery of Madrid. In: Costa, A.P., Moreira, A., Sánchez‑Gómez, M.C., Wa-Mbaleka, S. (eds) Computer Supported Qualitative Research. WCQR 2022. Lecture Notes in Networks and Systems, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-031-04680-3_6
dc.identifier.doihttps://doi.org/10.1007/978-3-031-04680-3_6
dc.identifier.urihttp://hdl.handle.net/10637/14319
dc.language.isoen
dc.publisherSpringer, Cham
dc.relation.ispartofComputer Supported Qualitative Research. WCQR 2022. Lecture Notes in Networks and Systems, vol 466
dc.relation.projectIDThis contribution is part of the Project "The Peri-urban Landscape of Madrid: Views from the memory to the new city" (June 2020 - May 2023), reference PID2019-110693RB-I00), of the Ministry of Science and Innovation, and the State Research Agency (DOI: 10.13039/501100011033),en_EN
dc.rightsopen access
dc.rights.cchttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subjectLandscape perceptionen_EN
dc.subjectUrban green infrastructureen_EN
dc.subjectNVIVOen_EN
dc.subjectQualitative Researchen_EN
dc.titleMethodological design and application of NVIVO for a perceptual analysis of green infrastructure in the periph-ery of Madriden_EN
dc.typeArtículo
dspace.entity.typePublicationes
relation.isAuthorOfPublicationf659e5e6-06c4-44cd-9ae4-93a20e9dcb35
relation.isAuthorOfPublication78341d8b-611e-4d40-9ec9-7f959038fdb4
relation.isAuthorOfPublication.latestForDiscoveryf659e5e6-06c4-44cd-9ae4-93a20e9dcb35

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Methodological_Rocio_Santo_Tomas_Computer_Supported_2022.pdf
Size:
996.22 KB
Format:
Adobe Portable Document Format