Ontologies and Methods of Qualitative Research in Urban Planning

  • Giovanni Rabino Dipartimento di Architettura e Studi Urbani, Politecnico di Milano, IT
Keywords: Formal ontology, Qualitative data, Urban planning

Abstract

Qualitative research can produce vast amounts of data and uses analytical categories to describe and explain social phenomena; several software packages are designed for qualitative data analysis and enable a complex organization of data. The study tests the capacity of new technology to build a formal ontology from qualitative data, in urban planning.

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Author Biography

Giovanni Rabino, Dipartimento di Architettura e Studi Urbani, Politecnico di Milano, IT

He is professor of Urban Planning at the School of Architecture and Building Engineering of Polytechnic of Milan. He is an acknowledged expert in urban studies, especially applying system theories and methods. His main contributions concern operational urban models, evolutionary theory applied to geographical structures and, recently, web technologies supporting multi-agents planning.

References

Coppola, L. (2011), Il trattamento dei dati nella ricerca qualitativa tra vincoli e opportunità, Università degli Studi di Salerno, pdf on website.

Bazeley, P., Jackson, K. (2013), Qualitative Data Analysis with NVivo, London, SAGE Publications.

Rabino, G., Caglioni, M. (2009a), Planning, complexity and new ICT, Alinea, Firenze.

Rabino, G., Caglioni, M. (2009b) “Qualitive methods in goegraphy and planning”, in F. Bavaud, C. Mager (eds.), Handbok of theoretical and quantitative geography, University of Lausanne Press, 403-429.

Rabino, G., Scarlatti, F. (2006), “Statistiche testuali, mappe concettuali, reti bayesiane”, IN S. Moroni, D. Patassini (eds.), Problemi valutativi nel governo del territorio e dell'ambiente, FrancoAngeli, Milano, 180-203.

Published
2014-05-18
How to Cite
RabinoG. (2014). Ontologies and Methods of Qualitative Research in Urban Planning. TeMA - Journal of Land Use, Mobility and Environment. https://doi.org/10.6092/1970-9870/2549