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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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_id	ddss2004_ra-33
id	ddss2004_ra-33
authors	Diappi, L., P. Bolchim, and M. Buscema
year	2004
title	Improved Understanding of Urban Sprawl Using Neural Networks
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Recent Advances in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Kluwer Academic Publishers, ISBN: 14020-2408-8, p. 33-49
summary	It is widely accepted that the spatial pattern of settlements is a crucial factor affecting quality of life and environmental sustainability, but few recent studies have attempted to examine the phenomenon of sprawl by modelling the process rather than adopting a descriptive approach. The issue was partly addressed by models of land use and transportation which were mainly developed in the UK and US in the 1970s and 1980s, but the major advances were made in the area of modelling transportation, while very little was achieved in the area of spatial and temporal land use. Models of land use and transportation are well-established tools, based on explicit, exogenouslyformulated rules within a theoretical framework. The new approaches of artificial intelligence, and in particular, systems involving parallel processing, (Neural Networks, Cellular Automata and Multi-Agent Systems) defined by the expression “Neurocomputing”, allow problems to be approached in the reverse, bottom-up, direction by discovering rules, relationships and scenarios from a database. In this article we examine the hypothesis that territorial micro-transformations occur according to a local logic, i.e. according to use, accessibility, the presence of services and conditions of centrality, periphericity or isolation of each territorial “cell” relative to its surroundings. The prediction capabilities of different architectures of supervised Neural networks are implemented to the south Metropolitan area of Milan at two different temporal thresholds and discussed. Starting from data on land use in 1980 and 1994 and by subdividing the area into square cells on an orthogonal grid, the model produces a spatial and functional map of urbanisation in 2008. An implementation of the SOM (Self Organizing Map) processing to the Data Base allows the typologies of transformation to be identified, i.e. the classes of area which are transformed in the same way and which give rise to territorial morphologies; this is an interesting by-product of the approach.
keywords	Neural Networks, Self-Organizing Maps, Land-Use Dynamics, Supervised Networks
series	DDSS
last changed	2004/07/03 22:13

_id	ddss2004_d-157
id	ddss2004_d-157
authors	Krafta, R.
year	2004
title	Space is the Machine, with a Ghost Inside
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Developments in Design & Decision Support Systems in Architecture and Urban Planning, Eindhoven: Eindhoven University of Technology, ISBN 90-6814-155-4, p. 157-173
summary	The purpose of this paper is to report efforts towards the construction of a model for urban spatial dynamics simulation, based on multi-agents and space. The underlying idea is to have urban space producers and consumers operating in a two-layer, two-circuit model. The first layer holds urban space and its successive transformations; a second layer contains agents related to space; the first circuit simulates space production, and a second one simulates space consumption. Relationship between layers is represented as objective spatial features that agents are submitted to (the machine) and subjective meanings agents attach to each spatial feature (the ghost). While space works always in the same way, meanings vary according to each agent’s background and context. Relationships between circuits are represented by means of a market game in which producers try to maximize their profits by gambling with their risks, whereas consumers try to foresee the spatial distribution of local externalities that maximizes their utilities and investments. Urban Spatial Features are captured through centrality and land use patterns; every single agent’s action leads to changes in both patterns. Producers’ profit is a function of built form location. Consumers’ local externalities are concerned basically with present and future services. The model iteration is twofold: first it generates and allocates a number of built forms within a previously determined spatial system (a cellular matrix, for example), and second it allocates users to built forms. Population of users have its social profile and growth rate externally determined. Built form allocation is decided on the basis of a combination of profitXrisk perspectives. Users’ locational choice is supported by accessibility to services and present/future neighbourhood profile. Built form allocation works as parameter for users’ locational assessment, whereas users’ choices are used as parameters for developers. The model tends to adjust itself, in terms of quantities and types of built forms to be erected, although through a market lag of some iterations. Allocations are always made through weighted draws, so that mutations (non deterministic allocations) do occur.
keywords	Urban Morphology, Urban Growth, Simulation
series	DDSS
last changed	2004/07/03 22:13

_id	ddss2004_d-49
id	ddss2004_d-49
authors	Polidori, M. and R. Krafta
year	2004
title	Environment – Urban Interface within Urban Growth
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Developments in Design & Decision Support Systems in Architecture and Urban Planning, Eindhoven: Eindhoven University of Technology, ISBN 90-6814-155-4, p. 49-62
summary	This work presents the synthesis of a model of urban growth dedicated to accomplish simulations of urban spatial dynamics, based on integrated urban and environmental factors and promoting simultaneity among external and internal growth. The city and surrounding environment are captured and modeled in computational ambient, by application of the centrality / potential model (Krafta, 1994 and 1999), with support of graph theory, cellular automata, GIS and geocomputation. The model assumes the city as a field of opportunities for obtaining income, mediated by the space, which is composed of urban and environmental attributes, that work as attractors or as resistances for the urban growth. The space configuration and the distribution of those attributes generate tensions that differentiate qualitatively and quantitatively the space, through the centrality measure (built with the support of graphs techniques), coming to provoke growth in places with larger potential of development (built with the help of techniques of CA – cellular automata). Growths above environmental thresholds are considered problems, generated and overcome in the same process of production of the urban space. Iterations of that process offer a dynamic behaviour to the model, allowing to observe the growth process along the time. The model presents several possibilities: a) urban - natural environment integration; b) internal and external growth integration; c) variety in the scale; d) GIS integration and geocomputation; e) user interface; f) calibration; g) theoretical possibilities; and h) practical possibilities.
keywords	Environment, Urban Growth, Urban Morphology, Simulation
series	DDSS
last changed	2004/07/03 22:13

_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	sigradi2004_349
id	sigradi2004_349
authors	Adriana Simeone; Roberto Segre; José Ripper Kós
year	2004
title	O processo de desenvolvimento da ferramenta cidade interativa [The Developmental Process of an Interactive City Tool]
source	SIGraDi 2004 - [Proceedings of the 8th Iberoamerican Congress of Digital Graphics] Porte Alegre - Brasil 10-12 november 2004
summary	This paper exposes site .Cidade Interativa. development process, based on: a reflection about importance of users. points of view.s incorporation for space remodelling; a study about theoretical and practical experiences which, in different ways, approached potencialities of participation of a community.s members in a project; and, finally, a investigation of propagation alternatives of individual readings as information source for urban project, trying to enhance points of view that generally remain occult in the form of invisible practices of anonymous users. This site must be understood as concretion of an idea: creating a vehicle from which is possible to become individual readings public, so that these are shared and, also, make them available to people responsible for urban projects as information source.
series	SIGRADI
email
last changed	2016/03/10 09:47

_id	ddss2004_ra-19
id	ddss2004_ra-19
authors	Akamine, A. and A. Nélson Rodrigues da Silva
year	2004
title	An Evaluation of Neural Spatial Interaction Models Based on a Practical Application
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Recent Advances in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Kluwer Academic Publishers, ISBN: 1-4020-2408-8, p. 19-32
summary	One of the serious problems faced by the Brazilian municipalities is the scarcity of resources for building education infrastructure. This asks for an optimal allocation of the available resources that includes, among other things, a rational spatial arrangement of the supply points (i.e., schools) in order to increase the demand coverage (i.e., students). If it is possible to foresee the regions where the demand is going to be concentrated, it is then possible to plan the location of new facilities and to assess the impact on the future level of service of the entire system. Considering that one of the consequences of the location-allocation process is the distribution of trips from demand points to supply points throughout the city, therefore affecting the overall intraurban accessibility conditions to essential services such as education, there is a strong need of models that planners can rely on to predict the future trip distribution patterns. As a result, the objective of this work was to evaluate the performance of Artificial Neural Networks (ANN) when applied to spatial interaction models, the so-called Neural Spatial Interaction Models. This was done in a practical context, in contrast to the more theoretical works commonly found in literature. The practical application showed that the neural spatial interaction model had different performances when compared to the traditional gravity models. In one case the neural models outperformed the gravity models, while on the other case it was just the opposite. The explanation for this may be in the data or in the ANN model formulation, as discussed in the conclusions.
keywords	Artificial Neural Networks, Spatial Interaction Models, Education Infrastructure
series	DDSS
last changed	2004/07/03 22:13

_id	ddss2006-pb-101
id	DDSS2006-PB-101
authors	Aloys W.J. Borgers, I.M.E. Smeets, A.D.A.M. Kemperman, and H.J.P. Timmermans
year	2006
title	Simulation of Micro Pedestrian Behaviour in Shopping Streets
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) 2006, Progress in Design & Decision Support Systems in Architecture and Urban Planning, Eindhoven: Eindhoven University of Technology, ISBN-10: 90-386-1756-9, ISBN-13: 978-90-386-1756-5, p. 101-116
summary	Over the years, scholars have developed various models of pedestrian movement. These models can be used to assess the effects of detailed design decisions or to predict pedestrian behaviour under conditions of crowding. To date, not much attention has been paid to pedestrians' shopping behaviour at the micro level. Therefore, the main purpose of this project is to test a model that aims at simulating micro pedestrian behaviour in shopping streets, including entering shops. The model assumes a detailed network of links to represent the structure of street segments and entrances to the shops. The basic principle underlying the model is that a pedestrian moves from one link in the network to another, adjacent link. In fact, a pedestrian enters a segment at one side, heading for the other side of the segment. However, a pedestrian might enter the segment by leaving a shop as well. Then, the pedestrian might be heading for either side of the segment. While transferring from the current link to the next link, the pedestrian will be attracted by the shops along both sides of the street. The study area is Antwerp's main shopping street. During a one-week workshop in July 2004, students observed pedestrian movement in this shopping street. An inventory of some physical characteristics of the shopping street was made and pedestrians were tracked through two separate segments of the shopping street. In total, 334 pedestrians were tracked. A conventional multinomial logit model is used to simulate pedestrians' micro behaviour. The process of consecutively selecting links continues until the pedestrian has reached one of the terminal links or a shop. The model performs very well. Simulated routes were used to assess the validity of the model. Observed and simulated link loading correspond fairly well, however, the model seems to slightly mispredict the attraction of a number of shops.
keywords	Micro pedestrian behaviour, Shopping street, Simulation
series	DDSS
last changed	2006/08/29 12:55

_id	sigradi2004_030
id	sigradi2004_030
authors	Andreas Voigt; Helena Linzer; Elmar Schmidinger
year	2004
title	What people really want - User validation of "digital city" concepts
source	SIGraDi 2004 - [Proceedings of the 8th Iberoamerican Congress of Digital Graphics] Porte Alegre - Brasil 10-12 november 2004
summary	This Paper discusses the experience acquired from the user-compatible development of a digital city model as an aid to urban planning based on the endeavours of a large Austrian city. The method selected was a structured survey of the future users of the "Digital City". In the case in question, the addressee is initially an "internal" client, in other words the staff of the Urban Planning Department. Above all findings it seems vital to work more intensive on common terminology and concepts to facilitate the communication between all those involved in creating digital three-dimensional City Models.
series	SIGRADI
email
last changed	2016/03/10 09:47

_id	avocaad_2003_06
id	avocaad_2003_06
authors	Arturo F. Montagu and Juan Pablo Cieri
year	2003
title	Urbamedia - Development of an urban database of fragments of some Argentinian and Latin-American cities using digital technology
source	LOCAL VALUES in a NETWORKED DESIGN WORLD - ADDED VALUE OF COMPUTER AIDED ARCHITECTURAL DESIGN, Stellingwerff, Martijn and Verbeke, Johan (Eds.), (2004) DUP Science - Delft University Press, ISBN 90-407-2507-1.
summary	The proposal of "Urbamedia" is to undertake the development of 3D virtual and interactive models of historical areas of Latin-American cities. The selected zone is the "Mayo Avenue" including the "Mayo Square", an historical place of the city of Buenos Aires, Argentina; this project is financed by the National Agency of Scientific and Technological Development of Argentina and the University of Buenos Aires.We are presenting the first experimental model of the "Mayo Square" that has been developed at ABACUS, Department of Architecture & Building Aids Computer Unit, University of Strathclyde UK. combined with a system analysis of urban activities using the “Atlas.ti” CAQDAS software.This particular use of the “Atlas.ti” software is under experimental applications to this type of urban analysis procedures; allowed us the possibility to analysed a set of activities by means of graph theory as result of a series of interviews to the people working in the area. We are also looking to include historical areas of three cities: Mar del Plata, Rosario and Santa Fe (Argentina) and eventually other cities from Latin América as Rio de Janeiro and Habana.Due that ABACUS has a strong experience in city modelling plus the powerful software and hardware used there, we must develop a VRML customized menu to be adapted to our low cost PC equipment. The 3D model will be used mainly in urban design simulation procedures and the idea is to extend to other type of simulations of the environmental parameters.
keywords	Architecture, Local values, Globalisation, Computer Aided Architectural Design
series	AVOCAAD
email
last changed	2006/01/16 21:38

_id	ddss2004_ra-177
id	ddss2004_ra-177
authors	Ballas, D., R. Kingston, and J. Stillwell
year	2004
title	Using a Spatial Microsimulation Decision Support System for Policy Scenario Analysis
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Recent Advances in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Kluwer Academic Publishers, ISBN: 1-4020-2408-8, p. 177-191
summary	This paper discusses the potential of a spatial microsimulation-based decision support system for policy analysis. The system can be used to describe current conditions and issues in neighbourhoods, predict future trends in the composition and health of neighbourhoods and conduct modelling and predictive analysis to measure the likely impact of policy interventions at the local level. A large dynamic spatial micro-simulation model is being constructed for the population of Leeds (approximately 715,000 individuals) based on spatial microsimulation techniques in conjunction with a range of data, including 2001 Census data for Output Areas and sample data from the British Household Panel Survey. The project has three main aims as follows: (i) to develop a static microsimulation model to describe current conditions in Leeds; (ii) to enable the performance of ‘What if?’ analysis on a range of policy scenarios; and (iii) to develop a dynamic microsimulation model to predict future conditions in Leeds under different policy scenarios. The paper reports progress in meeting the above aims and outlines the associated difficulties and data issues. One of the significant advantages of the spatial microsimulation approach adopted by this project is that it enables the user to query any combination of variables that is deemed desirable for policy analysis. The paper will illustrate the software tool being developed in the context of this project that is capable of carrying out queries of this type and of mapping their results. The decision support tool is being developed to support policy-makers concerned with urban regeneration and neighbourhood renewal.
keywords	Spatial Microsimulation, Spatial Decision Support Systems, Geotools
series	DDSS
last changed	2004/07/03 22:13

_id	ddss2004_ra-161
id	ddss2004_ra-161
authors	Bandini, S., S. Manzoni, and G. Vizzari
year	2004
title	Crowd Modeling and Simulation
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Recent Advances in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Kluwer Academic Publishers, ISBN: 1-4020-2408-8, p. 161-175
summary	The paper introduces a Multi Agent Systems (MAS) approach to crowd modelling and simulation, based on the Situated Cellular Agents (SCA) model. This is a special class of Multilayered Multi Agent Situated System (MMASS), exploiting basic elements of Cellular Automata. In particular SCA model provides an explicit spatial representation and the definition of adjacency geometries, but also a concept of autonomous agent, provided with an internal architecture, an individual state and behaviour. The latter provides different means of space-mediated interaction among agents: synchronous, between adjacent agents, and asynchronous among at-a-distance entities. Heterogeneous entities may be modelled through the specification of different agent types, defining different behaviours and perceptive capabilities. After a brief description of the model, its application to simple crowd behaviours will be given, and an application providing the integration of a bidimensional simulator based on this model and a 3D modelling application (3D Studio) will also be described. The adoption of this kind of system allows the specification and simulation of an architectural design with reference to the behaviour of entities that will act in it. The system is also able to easily produce a realistic visualization of the simulation, in order to facilitate the evaluation of the design and the communication with involved decision-makers. In fact, while experts often require only abstract and analytical results deriving from a quantitative analysis of simulation results, other people involved in the decision-making process related to the design may be helped by qualitative aspects better represented by other forms of graphical visualization.
keywords	Multi-Agent Systems, 3D modelling, Simulation
series	DDSS
last changed	2004/07/03 22:13

_id	eaea2003_28-barchougova
id	eaea2003_28-barchougova
authors	Bartchougova, E. and Rochegova, N.
year	2004
title	About Virtual Spatial Modeling in Architectural Education
source	Spatial Simulation and Evaluation - New Tools in Architectural and Urban Design [Proceedings of the 6th European Architectural Endoscopy Association Conference / ISBN 80-227-2088-7], pp. 138-142
summary	The professional perception of the architectural space characterizes the most advanced level of the architect’s mastership. In the article the virtual modeling is regarded as an effective way of forming the professional perception of integrity of architectural space. Computer technologies bring together bi-dimensional and three-dimensional languages of modeling and thus they help the procedure of movement of consciousness from the plane to volumetric images and back to the visual and mobile. They help to carry out the level-by-level analysis of the multilevel structure of an architectural reality in the mode of active dialogue. The process of interaction of consciousness with the model becomes accessible to studying. There appears an opportunity to manage this process with the aim of forming perception.
series	EAEA
more	http://info.tuwien.ac.at/eaea
last changed	2005/09/09 10:43

_id	eaea2003_13-bartik
id	eaea2003_13-bartik
authors	Bartik, R.
year	2004
title	Materials and Technologies Utilized in Creation of Architectural Models
source	Spatial Simulation and Evaluation - New Tools in Architectural and Urban Design [Proceedings of the 6th European Architectural Endoscopy Association Conference / ISBN 80-227-2088-7], pp. 59-64
summary	The preliminary consideration of criteria directly influencing the choice of technology and material is always essential for the expression of the architect’s or investor’s images.
series	EAEA
more	http://info.tuwien.ac.at/eaea
last changed	2005/09/09 10:43

_id	eaea2003_21-ws-bartik
id	eaea2003_21-ws-bartik
authors	Bartik, R.
year	2004
title	The Model of the Town Hradec Kralove 2000
source	Spatial Simulation and Evaluation - New Tools in Architectural and Urban Design [Proceedings of the 6th European Architectural Endoscopy Association Conference / ISBN 80-227-2088-7], pp. 103-105
summary	The work on this model is a unique case not only with regard to its extent but predominantly to the implementation of the most up-to-date model production technologies developed on the basis of research activities in the Institute of Model Design, Faculty of Architecture, Czech Technical University in Prague. The construction of the 2000 HK model was ordered on the basis of tender by the Municipality Office of Hradec Králové – Department of the Architect on occasion of the 775th anniversary of the town’s foundation.
series	EAEA
more	http://info.tuwien.ac.at/eaea
last changed	2005/09/09 10:43

_id	ddss2004_ra-69
id	ddss2004_ra-69
authors	Barton, J., B. Parolin, and V. Weiley
year	2004
title	A Spatial Decision Support System for the Management of Public Housing
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Recent Advances in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Kluwer Academic Publishers, ISBN: 1-4020-2408-8, p. 69-84
summary	This paper is reporting on a research project undertaken jointly between the University of New South Wales (UNSW) and the NSW Department of Housing (DoH) to develop a Spatial Decision Support System (SDSS) to assist planning, management and evaluation in areas of high public housing concentration. In the paper we will describe the development of the SDSS, the specific spatial problems challenging the DoH and the potential for the system to incorporate a range of social, financial and physical data, both internal and from other sources, for interaction and presentation in a three dimensional environment. The prototype SDSS attempts to address the specific challenges of providing better service for clients of the DoH. An information audit and survey has been conducted of the department’s resources and needs. Issues identified include the management of high-rise and superlot areas, crime mapping, community interactivity, internal and intergovernmental information sharing, interoperability and maintaining confidentiality and security of data. Interactive 3D visualisation of the model is facilitated by use of the 3map free geospace platform. Use of open source code and open standards such as X3D for 3D graphics interchange allow the project to explore advanced visualisation techniques while ensuring interoperability and data longevity.
keywords	Spatial Decision Support System, Public Housing, Community Renewal, Security, Open Source, Interoperability, Visualisation, 3D GIS, PPGIS, X3D
series	DDSS
last changed	2004/07/03 22:13

_id	411caadria2004
id	411caadria2004
authors	Bauni Hamid
year	2004
title	Visualizing Urban Resettlement Project in the Context of Community-Based Development
source	CAADRIA 2004 [Proceedings of the 9th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 89-7141-648-3] Seoul Korea 28-30 April 2004, pp. 707-716
doi	https://doi.org/10.52842/conf.caadria.2004.707
summary	This research was focused on visualizing new housing model and its customization based on people’s option as part of implementing community-based development principle. There are two significant research findings that are discussed in this paper that will be basis for developing a user-friendlier digital model as part of longterm research in visualizing whole resettlement process. The role of local person who is authorized to handle the model and to customize it to other inhabitants in the resettlement area is very essential in order to achieve the maximum versatility of the model. Another significant finding is potential of VRML model as information nodes for other digital modeling alternatives in an integrated information system for urban revitalization project.
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ddss2004_ra-279
id	ddss2004_ra-279
authors	Bax, M.F.Th. and H.M.G.J. Trum
year	2004
title	On the Notion of Level in Architecture
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Recent Advances in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Kluwer Academic Publishers, ISBN: 1-4020-2408-8, p. 279-292
summary	The notion of Level (in a scale of Levels) is probably the most authentic notion in Architecture. Already in the work of Vitruvius the notion is implicitly present in the triad ‘ordinatio – symmetria – eurythmia’. In more recent times, the notion always appears in relation with hierarchical organization as a means of control of quality. However used in drawings and in architectural discourse, the term lacks precision; there are many types of level like abstraction, specification, dependency, resolution levels etc., but no operational definition can be found as a notion that structures architectural objects and design processes simultaneously in a consistent way. Defining this notion of Level is the purpose of this paper. An example of application in an architectural decision-making process completes the paper.
keywords	Levels, Hierarchy, Architecture, Composition, Complexity, Control
series	DDSS
last changed	2004/07/03 22:13

_id	ddss2004_d-269
id	ddss2004_d-269
authors	Beetz, J., J. van Leeuwen, and B. de Vries
year	2004
title	Towards a Multi Agent System for the Support of Collaborative Design
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Developments in Design & Decision Support Systems in Architecture and Urban Planning, Eindhoven: Eindhoven University of Technology, ISBN 90-6814-155-4, p. 269-280
summary	In this paper we are drafting the outline of a framework for a Multi Agent System (MAS) for the support of Collaborative Design in the architectural domain. The system we are proposing makes use of Machine Learning (ML) techniques to infer personalized knowledge from observing a users’ action in a generic working environment using standard tools such as CAD packages. We introduce and discuss possible strategies to combine Concept Modelling (CM)-based approaches using existing ontologies with statistical analysis of action sequences within a domain specific application. In a later step, Agent technologies will be used to gather additional related information from external resources such as examples of similar problems on the users hard disk, from corresponding work of team-members within an intranet or from advises of expert from different knowledge domains, themselves represented by agents. As users deny or reward resulting proposals offered by the agent(s) through an interface the system will be enhanced over time using methods like Reinforced Learning.
keywords	Multi Agent Systems, Design & Decision Support Systems, Collaborative Design, Human Computer Interfaces, Machine learning, Data Mining
series	DDSS
last changed	2004/07/03 22:13

_id	b83a
id	b83a
authors	Benoudjit A, Derix C and Coates P
year	2004
title	Human perception and space classification: The Perceptive Network
source	Proceedings of the Generative Arts conference, Milan, 2004
summary	This paper presents a computer model for space perception, and space classification that is built around two artificial neural networks (ANN). This model is the first known application in architecture, where a self-organized map (SOM) is used to create a space classification map on the base of human perception criteria. This model is built with the aim to help both the space designers (architects, interior designer and urban designers), and the space users to gain a better understanding of the space in particular, and the environment where they evolve in general. This work is the continuity of an outgoing work started in the CECA by C. Derix around Kohonen network.
keywords	neural network, self-organised feature map, perception, spatial configuration
series	other
type	normal paper
email
more	http://www.generativeart.com/
last changed	2012/09/20 21:28

_id	ddss2004_ra-247
id	ddss2004_ra-247
authors	Bi, G. and B. Medjdoub
year	2004
title	Hybrid Approach to Solve Space Planning Problems in Building Services
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Recent Advances in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Kluwer Academic Publishers, ISBN: 1-4020-2408-8, p. 247-261
summary	In this paper an object-based CAD programming is used to take advantage of standardization to handle the schematic design, sizing, layout for services in a building ceiling void. From the specification of the building 3D model, our software proceeds through different steps; from the determination of the standard number and size of fan coils to the generation of 3D solutions. In order to deal with more complex geometry and larger problems, we have used a hybrid approach: Case Based Reasoning (CBR) within Constraint Satisfaction Problem (CSP) approaches. In practice, engineers in building services use previous solutions and adapt them to new problems. CBR mirrors this practical approach and does help us to deal with increasingly complex geometry effectively, and meanwhile CSP has been used for layout adaptation. The results have shown that it is possible to define and implement standard solutions to produce designs comparable with current practice. The benchmarking exercise has underlined many advantages and made some suggestions for further development. This project is funded by The Engineering and Physical Sciences Research Council (EPSRC) in UK.
keywords	Case-Based Reasoning, Constraint Satisfaction Problem, Ceiling Voids Layout, Complex Geometry, Large Problem
series	DDSS
last changed	2004/07/03 22:13

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