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_id sigradi2009_821
id sigradi2009_821
authors Beirão, José Nuno; Nuno Montenegro; Jorge Gil; José P. Duarte; Rudi Stouffs
year 2009
title The city as a street system: A street description for a city ontology
source SIGraDi 2009 - Proceedings of the 13th Congress of the Iberoamerican Society of Digital Graphics, Sao Paulo, Brazil, November 16-18, 2009
summary The street system is an important component of the city ontology created for a generative urban design tool and should be able to integrate the many visions or interpretations that designers or other urban design agents may have about streets. This paper describes several characteristics of the street system, with its components organized into object classes which are the shape sets of algebras used by a generation module to generate street network representations that can be assessed by a GIS platform.
keywords Ontology; urban design; shape grammars; planning
series SIGRADI
email
last changed 2016/03/10 09:47
_id 4c44
id 4c44
authors Beirão, José; Duarte, José; Gil, Jorge; Montenegro, Nuno
year 2009
title Monitoring urban design through generative design support tools: a generative grammar for Praia
source Proceedings of 15 Congresso da APDR, Cidade da Praia, Cabo Verde.
summary Abstract Urban planning and design has a considerable impact on the economic performance of cities and regions. It is a complex process that extends for a long period and involves many participants. The lack of integrated tools to support this process hampers the ability to maximize the response of plans to contextual conditions while using the least resources. This paper describes research that aims to develop such a tool, integrating formulation, generation, and evaluation capabilities. It is focused on the generation module which relies on the encoding of Urban Induction Patterns (UIP) using shape grammars. A grammar for the extension plan of the city of Praia is presented as one of the case studies used to support UIP definition and illustrate its application. The paper also discusses how the proposed tool can be used for developing and monitoring urban plans.
keywords shape grammars; generative urban design; planning
series other
type normal paper
email
more http://www.apdr.pt/congresso/2009/
last changed 2009/07/30 15:58
_id ecaade2009_148
id ecaade2009_148
authors Gil, Jorge; Montenegro, Nuno C.; Beirão, José Nuno; Duarte, José Pinto
year 2009
title On the Discovery of Urban Typologies: Data Mining the Multi-dimensional Character of Neighbourhoods
doi https://doi.org/10.52842/conf.ecaade.2009.269
source Computation: The New Realm of Architectural Design [27th eCAADe Conference Proceedings / ISBN 978-0-9541183-8-9] Istanbul (Turkey) 16-19 September 2009, pp. 269-278
summary In sustainable urban development the first stage of the urban design process should consist of a pre-design phase where the context of the site is analysed both qualitatively and quantitatively. In this paper we present a methodology for data mining an urban Geographic Information System (GIS) data set, consisting of three main phases: representation, analysis and description. The process reveals a series of block and street typologies at various levels of detail that highlight the different character of two neighbourhoods. This methodology is demanding in the preparation phase and requires a high level of GIS and statistics expertise in the analysis phase. However, it successfully addresses the complex multi-scale and multi-level nature of cities in a systematic way, providing a tool for systematic profiling of neighbourhoods, which is site and problem specific.
wos WOS:000334282200033
keywords Data mining, GIS, sustainable development, urban typologies, urban context
series eCAADe
email
last changed 2022/06/07 07:51
_id ecaade2009_133
id ecaade2009_133
authors Montenegro, Nuno C.; Duarte, José Pinto
year 2009
title Computational Ontology of Urban Design: Towards a City Information Model
doi https://doi.org/10.52842/conf.ecaade.2009.253
source Computation: The New Realm of Architectural Design [27th eCAADe Conference Proceedings / ISBN 978-0-9541183-8-9] Istanbul (Turkey) 16-19 September 2009, pp. 253-260
summary The ultimate goal of the project in which the described research evolves is a computer-platform for assisting in the development of urban design proposals at the site planning scale including formulation, generation, and evaluation modules. The paper is concerned with the development of a common ontology that guarantees inter-operability among the three modules. After clarifying the theoretical framework, it describes the methodology used to develop the proposed Urban Design Ontology (UDO), as well as its lexicon, syntax, and semantics. It is argued that such ontology constitutes the bases for a City Information Model (CIM) that permits to elaborate consistent and comprehensive descriptions of urban spaces, thereby enabling the formulation of programs for urban interventions and the generation of corresponding design proposals.
wos WOS:000334282200031
keywords Ontology, interoperability, BIM
series eCAADe
email
last changed 2022/06/07 07:58
_id cf2011_p018
id cf2011_p018
authors Sokmenoglu, Ahu; Cagdas Gulen, Sariyildiz Sevil
year 2011
title A Multi-dimensional Exploration of Urban Attributes by Data Mining
source Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 333-350.
summary The paper which is proposed here will introduce an ongoing research project aiming to research data mining as a methodology of knowledge discovery in urban feature analysis. To address the increasing multi-dimensional and relational complexity of urban environments requires a multidisciplinary approach to urban analysis. This research is an attempt to establish a link between knowledge discovery methodologies and automated urban feature analysis. Therefore, in the scope of this research we apply data mining methodologies for urban analysis. Data mining is defined as to extract important patterns and trends from raw data (Witten and Frank, 2005). When applied to discover relationships between urban attributes, data mining can constitute a methodology for the analysis of multi-dimensional relational complexity of urban environments (Gil, Montenegro, Beirao and Duarte, 2009) The theoretical motivation of the research is derived by the lack of explanatory urban knowledge which is an issue since 1970’s in the area of urban research. This situation is mostly associated with deductive methods of analysis. The analysis of urban system from the perspective of few interrelated factors, without considering the multi-dimensionality of the system in a deductive fashion was not been explanatory enough. (Jacobs, 1961, Lefebvre, 1970 Harvey, 1973) To address the multi-dimensional and relational complexity of urban environments requires the consideration of diverse spatial, social, economic, cultural, morphological, environmental, political etc. features of urban entities. The main claim is that, in urban analysis, there is a need to advance from traditional one dimensional (Marshall, 2004) description and classification of urban forms (e.g. Land-use maps, Density maps) to the consideration of the simultaneous multi-dimensionality of urban systems. For this purpose, this research proposes a methodology consisting of the application of data mining as a knowledge discovery method into a GIS based conceptual urban database built out of official real data of Beyoglu. Generally, the proposed methodology is a framework for representing and analyzing urban entities represented as objects with properties (attributes). It concerns the formulation of an urban entity’s database based on both available and non-available (constructed from available data) data, and then data mining of spatial and non-spatial attributes of the urban entities. Location or position is the primary reference basis for the data that is describing urban entities. Urban entities are; building floors, buildings, building blocks, streets, geographically defined districts and neighborhoods etc. Urban attributes are district properties of locations (such as land-use, land value, slope, view and so forth) that change from one location to another. Every basic urban entity is unique in terms of its attributes. All the available qualitative and quantitative attributes that is relavant (in the mind of the analyst) and appropriate for encoding, can be coded inside the computer representation of the basic urban entity. Our methodology is applied by using the real and official, the most complex, complete and up-to-dataset of Beyoglu (a historical neighborhood of Istanbul) that is provided by the Istanbul Metropolitan Municipality (IBB). Basically, in our research, data mining in the context of urban data is introduced as a computer based, data-driven, context-specific approach for supporting analysis of urban systems without relying on any existing theories. Data mining in the context of urban data; • Can help in the design process by providing site-specific insight through deeper understanding of urban data. • Can produce results that can assist architects and urban planners at design, policy and strategy levels. • Can constitute a robust scientific base for rule definition in urban simulation applications such as urban growth prediction systems, land-use simulation models etc. In the paper, firstly we will present the framework of our research with an emphasis on its theoretical background. Afterwards we will introduce our methodology in detail and finally we will present some of important results of data mining analysis processed in Rapid Miner open-source software. Specifically, our research define a general framework for knowledge discovery in urban feature analysis and enable the usage of GIS and data mining as complementary applications in urban feature analysis. Acknowledgments I would like to thank to Nuffic, the Netherlands Organization for International Cooperation in Higher Education, for funding of this research. I would like to thank Ceyhun Burak Akgul for his support in Data Mining and to H. Serdar Kaya for his support in GIS.
keywords urban feature analysis, data mining, urban database, urban complexity, GIS
series CAAD Futures
email
last changed 2012/02/11 19:21
_id ecaade2010_224
id ecaade2010_224
authors Trento, Armando; Fioravanti, Antonio; Loffreda, Gianluigi
year 2010
title Ontologies for Cities of the Future: The quest of formalizing interaction rules of urban phenomena
doi https://doi.org/10.52842/conf.ecaade.2010.797
source FUTURE CITIES [28th eCAADe Conference Proceedings / ISBN 978-0-9541183-9-6] ETH Zurich (Switzerland) 15-18 September 2010, pp.797-804
summary “A city can not be designed” Watanabe [1]: our ambition can be at the maximum to guide someway and in some part its growth. So as planners need tools to aid an open design with uncertain goals. This research group beginto develop such a tool at high level of abstraction (Fioravanti 2008), with theaim of investigating the potentiality of a collaboration among complementary research domains. The present work reports about early implementation results of an innovative approach developed by the authors, for representation of design knowledge. It has been identified in the Urban Design Ontology (Montenegro and Duarte 2009) some design entities and their internal relationships that have been formalized and visualized by means of an intuitive interface. As a matter of fact, this approach, by means of inference engines allows coherence’s check and constraint verification, pointing out incompatibility between initial design program and each partial specialist design solution and/or the overall shared one.
wos WOS:000340629400085
keywords Knowledge formalization; Urban design ontology; Knowledge structure; Collaborative design; Open design
series eCAADe
email
last changed 2022/06/07 07:57

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