CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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Hits 1 to 6 of 6

_id 06e1
authors Keul, Alexander
year 1996
title LOST IN SPACE? ARCHITECTURAL PSYCHOLOGY - PAST, PRESENT, FUTURE
source Full-Scale Modeling in the Age of Virtual Reality [6th EFA-Conference Proceedings]
summary A methodological review by Kaminski (1995) summed up five perspectives in environmental psychology - patterns of spatial distribution, everyday “jigsaw puzzles”, functional everyday action systems, sociocultural change and evolution of competence. Architectural psychology (named so at the Strathclyde conference 1969; Canter, 1973) as psychology of built environments is one leg of environmental psychology, the second one being psychology of environmental protection. Architectural psychology has come of age and passed its 25th birthday. Thus, a triangulation of its position, especially in Central Europe, seems interesting and necessary. A recent survey mainly on university projects in German-speaking countries (Kruse & Trimpin, 1995) found a marked decrease of studies in psychology of built environments. 1994, 25% of all projects were reported in this category, which in 1975 had made up 40% (Kruse, 1975). Guenther, in an unpublished survey of BDP (association of professional German psychologists) members, encountered only a handful active in architectural psychology - mostly part-time, not full-time. 1996, Austria has two full-time university specialists. The discrepancy between the general interest displayed by planners and a still low institutionalization is noticeable.

How is the research situation? Using several standard research data banks, the author collected articles and book(chapter)s on architectural psychology in German- and English-language countries from 1990 to 1996. Studies on main architecture-psychology interface problems such as user needs, housing quality evaluations, participatory planning and spatial simulation / virtual reality did not outline an “old, settled” discipline, but rather the sketchy, random surface of a field “always starting anew”. E.g., discussions at the 1995 EAEA-Conference showed that several architectural simulation studies since 1973 caused no major impact on planner's opinions (Keul&Martens, 1996). “Re-inventions of the wheel” are caused by a lack of meetings (except this one!) and of interdisciplinary infrastructure in German-language countries (contrary to Sweden or the United States). Social pressures building up on architecture nowadays by inter-European competition, budget cuts and citizen activities for informed consent in most urban projects are a new challenge for planners to cooperate efficiently with social scientists. At Salzburg, the author currently manages the Corporate Design-process for the Chamber of Architecture, Division for Upper Austria and Salzburg. A “working group for architectural psychology” (Keul-Martens-Maderthaner) has been active since 1994.

keywords Model Simulation, Real Environments
series EAEA
type normal paper
email
more http://info.tuwien.ac.at/efa/
last changed 2005/09/09 10:43

_id 88d7
authors Kulcke, Richard
year 1995
title CAAD in the Architectural Education of the Fachhochschulen in Germany
source CAD Space [Proceedings of the III International Conference Computer in Architectural Design] Bialystock 27-29 April 1995, pp. 7-13
summary Like the most teachers of Computer Aided Architectural Design at the Fachhochschulen I am an architect not a computer specialist. I studied architecture in the sixties at the universities of Stuttgart and Berlin, In 1973 I became a lecturer at the Fachhochschule Nordostniedersachsen. My subjects are building economics, urban planning and computer aided architectural design (CAAD). My report wants to show what is going on at the Fachhochschulen. This report is based on the paper presented at the eCAADe conference 1989 in Aarhus, Denmark
series plCAD
last changed 2000/01/24 10:08

_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 e1a1
authors Rodriguez, G.
year 1996
title REAL SCALE MODEL VS. COMPUTER GENERATED MODEL
source Full-Scale Modeling in the Age of Virtual Reality [6th EFA-Conference Proceedings]
summary Advances in electronic design and communication are already reshaping the way architecture is done. The development of more sophisticated and user-friendly Computer Aided Design (CAD) software and of cheaper and more powerful hardware is making computers more and more accessible to architects, planners and designers. These professionals are not only using them as a drafting tool but also as a instrument for visualization. Designers are "building" digital models of their designs and producing photo-like renderings of spaces that do not exist in the dimensional world.

The problem resides in how realistic these Computer Generated Models (CGM) are. Moss & Banks (1958) considered realism “the capacity to reproduce as exactly as possible the object of study without actually using it”. He considers that realism depends on: 1)The number of elements that are reproduced; 2) The quality of those elements; 3) The similarity of replication and 4) Replication of the situation. CGM respond well to these considerations, they can be very realistic. But, are they capable of reproducing the same impressions on people as a real space?

Research has debated about the problems of the mode of representation and its influence on the judgement which is made. Wools (1970), Lau (1970) and Canter, Benyon & West (1973) have demonstrated that the perception of a space is influenced by the mode of presentation. CGM are two-dimensional representations of three-dimensional space. Canter (1973) considers the three-dimensionality of the stimuli as crucial for its perception. So, can a CGM afford as much as a three-dimensional model?

The “Laboratorio de Experimentacion Espacial” (LEE) has been concerned with the problem of reality of the models used by architects. We have studied the degree in which models can be used as reliable and representative of real situations analyzing the Ecological Validity of several of them, specially the Real-Scale Model (Abadi & Cavallin, 1994). This kind of model has been found to be ecologically valid to represent real space. This research has two objectives: 1) to study the Ecological Validity of a Computer Generated Model; and 2) compare it with the Ecological Validity of a Real Scale Model in representing a real space.

keywords Model Simulation, Real Environments
series other
type normal paper
more http://info.tuwien.ac.at/efa/
last changed 2004/05/04 14:42

_id ascaad2023_141
id ascaad2023_141
authors Qtait, Shatha
year 2023
title The Hierarchical Location-Allocation Model for Primary Health Care Facilities Planning: A Selected Case Study in Amman
source C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD), University of Petra, Amman, Jordan [Hybrid Conference] 7-9 November 2023, pp. 400-423.
summary This study integrates a procedural approach to Primary Health Care Facilities (PHCFs) planning in Jordan, by combining Public Facilities Urban Planning Principles and Guidelines with a Hierarchical Location Allocation Model (HLAM) through the Process of Systematic Urban Planning suggested by Chadwick (1969) and Lee (1973). The objective of this study is to offer planners and decision makers a framework that can help them make decisions when selecting the locations for PHCFs. The study methodology is based on an analytical approach to analyse data, and then an experimental approach was employed to investigate the relations between the study variables to test the study hypothesis and to answer the key questions. The study highlights the healthcare system of Jordan, and it suggests PHCF planning standards. The study also highlights the principles of public facilities urban planning, and the use of models in urban planning particularly HLAM. Then, the study introduces “HLAM Application” as a study tool which was built particularly to solve HLAM for primary healthcare system of Jordan.The results indicate that PHCF planning in Jordan suffers from the low efficiency of the spatial distribution in conformity with the population density and the max distance to the nearest healthcare facility and does not fulfill the public facilities urban planning principles and the hierarchy system of PHCF adopted by the Ministry of Health.
series ASCAAD
email
last changed 2024/02/13 14:41

_id 9b90
authors Yessios, Christos Ioannis
year 1973
title Syntactic structures and procedures for computable site planning
source Carnegie-Mellon University, Pittsburgh
series thesis:PhD
email
last changed 2003/02/12 22:37

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