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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
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_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‚Äôs 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‚Äôs 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; ‚Ä¢ Can help in the design process by providing site-specific insight through deeper understanding of urban data. ‚Ä¢ Can produce results that can assist architects and urban planners at design, policy and strategy levels. ‚Ä¢ 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	ecaade2011_050
id	ecaade2011_050
authors	Beirão, José N.; Nourian, Pirouz; Mashhoodi, Bardia
year	2011
title	Parametric urban design: An interactive sketching system for shaping neighborhoods
doi	https://doi.org/10.52842/conf.ecaade.2011.225
source	RESPECTING FRAGILE PLACES [29th eCAADe Conference Proceedings / ISBN 978-9-4912070-1-3], University of Ljubljana, Faculty of Architecture (Slovenia) 21-24 September 2011, pp.225-234
summary	In this paper we show the structure of an urban design parametric system. The system is dynamic and builds an interactive relation with the designer updating the layout and related data at each input change. The responsiveness of the system allows the designer to gain awareness on the qualitative consequences of each design move by comparing a design state with a set of urban indicators and density measures which are automatically calculated along with the geometrical updates.
wos	WOS:000335665500025
keywords	Parametric urban design; city modelling; urban planning
series	eCAADe
email
last changed	2022/05/01 23:21

_id	sigradi2023_108
id	sigradi2023_108
authors	Passos, Aderson, Jorge, Luna, Cavalcante, Ana, Sampaio, Hugo, Moreira, Eugenio and Cardoso, Daniel
year	2023
title	Urban Morphology and Solar Incidence in Public Spaces - an Exploratory Correlation Analysis Through a CIM System
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1655–1666
summary	The walkability of open spaces has been highlighted in current discussions about the production of designed environments in urban contexts (Matan, 2011). To contribute to this theme, this work selects the environmental comfort of open spaces as its element of study. The production of urban space was investigated, specifically in regard to urban morphology, understanding that city design directly influences environmental comfort (Jacobs, 1996). This work addresses the geographic context of low latitudes, specifically in hot and humid climate zones of Brazil, and, in this context, according to NBR 15220 (national performance standards), shading is one of the main comfort strategies, so solar incidence was the approached environmental phenomenon. Thus, this work presents a digital system that performs exploratory analysis on the correlations between urban form indicators and environmental performance indicators, specifically solar incidence. The method consists of three steps: urban form modeling (1), indicator measurement (2) and correlation analysis (3). In the first stage, different spatial sections of a city in Brazil were represented in the digital environment (1). This work’s implementation instrument is based on a City Information Modeling framework (Beirao et al., 2012). Visual Programming Interface (VPI) and Geographic Information Systems (GIS) tools were used, in addition to a Relational Database Management System (RDBMS). Then, for each urban clipping, the values of morphological indicators and the incidence of solar radiation were measured (2). Based on the values of the indicators, an exploration of their correlation was carried out by statistical methods (3). The results of the correlation analysis and their correspondent scatter plots are presented. Finally, possible applications of the results for the creation of prescriptive urban planning systems are discussed, seeking to promote a sustainable urban environment.
keywords	Urban planning, Environmental comfort, Walkability, Urban morphology, Statistical methods.
series	SIGraDi
email
last changed	2024/03/08 14:09

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