A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Urban data and urban design: A data mining approach to architecture education
The configuration of urban projects using Information and Communication Technologies is an essential aspect in the education of future architects. Students must know the technologies that will facilitate their academic and professional development, as well as anticipating the needs of the citizens and the requirements of their designs. In this paper, a data mining approach was used to outline the strategic requirements for an urban design project in an architecture course using a Project-Based Learning strategy. Informal data related to an award-winning public space (Gillett Square in London, UK) was retrieved from two social networks (Flickr and Twitter), and from its official website. The analysis focused on semantic, temporal and spatial patterns, aspects generally overlooked in traditional approaches. Text-mining techniques were used to relate semantic and temporal data, focusing on seasonal and weekly (work-leisure) cycles, and the geographic patterns were extracted both from geotagged pictures and by geocoding user locations. The results showed that it is possible to obtain and extract valuable data and information in order to determine the different uses and architectural requirements of an urban space, but such data and information can be challenging to retrieve, structure, analyze and visualize. The main goal of the paper is to outline a strategy and present a visualization of the results, in a way designed to be attractive and informative for both students and professionals - even without a technical background - so the conducted analysis may be reproducible in other urban data contexts. ; Postprint (author's final draft)
Urban data and urban design: A data mining approach to architecture education
The configuration of urban projects using Information and Communication Technologies is an essential aspect in the education of future architects. Students must know the technologies that will facilitate their academic and professional development, as well as anticipating the needs of the citizens and the requirements of their designs. In this paper, a data mining approach was used to outline the strategic requirements for an urban design project in an architecture course using a Project-Based Learning strategy. Informal data related to an award-winning public space (Gillett Square in London, UK) was retrieved from two social networks (Flickr and Twitter), and from its official website. The analysis focused on semantic, temporal and spatial patterns, aspects generally overlooked in traditional approaches. Text-mining techniques were used to relate semantic and temporal data, focusing on seasonal and weekly (work-leisure) cycles, and the geographic patterns were extracted both from geotagged pictures and by geocoding user locations. The results showed that it is possible to obtain and extract valuable data and information in order to determine the different uses and architectural requirements of an urban space, but such data and information can be challenging to retrieve, structure, analyze and visualize. The main goal of the paper is to outline a strategy and present a visualization of the results, in a way designed to be attractive and informative for both students and professionals - even without a technical background - so the conducted analysis may be reproducible in other urban data contexts. ; Postprint (author's final draft)
Urban data and urban design: A data mining approach to architecture education
Valls Dalmau, Francesc (author) / Redondo Domínguez, Ernesto (author) / Fonseca Escudero, David (author) / Torres Kompen, Ricardo (author) / Villagrasa, Sergi (author) / Martí Audí, Núria (author) / Universitat Politècnica de Catalunya. Departament de Representació Arquitectònica / Universitat Politècnica de Catalunya. ADR&M - Arquitectura, Disseny: Representació i Modelatge
2017-01-01
Article (Journal)
Electronic Resource
English
Informal learning , Aprenentatge basat en projectes , Mineria de dades , Urbanisme - Ensenyament , Àrees temàtiques de la UPC::Ensenyament i aprenentatge::TIC's aplicades a l'educació , Architecture education , Urban data , Àrees temàtiques de la UPC::Arquitectura::Sistemes de representació arquitectònica , Arquitectura - Ensenyament , Data mining , City planning - Study and teaching , Problem-based learning , Architecture -- Study and teaching
DDC:
720
An urban informatics approach to smart city learning in architecture and urban design education
| DOAJ | 2013
Green Design in Urban Squares: Ecological Urban Consciousness in Landscape Architecture Education
| DOAJ | 2021
Urban data-mining: spatiotemporal exploration of multidimensional data
| Online Contents | 2009
Urban data-mining: spatiotemporal exploration of multidimensional data
| British Library Online Contents | 2009