Cumincad : CUMINCAD Papers : Search Results

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_ra-129
id	ddss2004_ra-129
authors	Ma, L., Th. Arentze, A. Borgers, and H. Timmermans
year	2004
title	Using Bayesian Decision Networks for Knowledge Representation under Conditions of Uncertainty in Multi-Agent Land Use Simulation Models
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 1-4020-24088, p. 129-144
summary	Land suitability analysis typically involves the assessment of the suitability of land units without knowing the future spatial distribution of land use. Traditional planning techniques have used “algebraic equations” to express land suitability as a weighted function of suitability scores across multiple criteria. However, the existing multi-criteria evaluation methods do not systematically account for uncertainty about the land use in adjacent and other cells. This paper proposes an alternative approach to land suitability analysis that does address the problem of uncertainty. In particular, Bayesian decision networks are suggested as a means of knowledge representation for agents in a multi-agent land use simulation system. Bayesian decision networks model the uncertainty in terms of probabilities specified in the network representing the expertise of specialists with respect to specific land uses. This paper discusses the approach and illustrates its use in the context of a retail agent.
keywords	Land Suitability Analysis, Multi-Agents, Knowledge Representation, Bayesian Decision Networks
series	DDSS
last changed	2004/07/03 22:13

_id	ddss2004_ra-53
id	ddss2004_ra-53
authors	Pettit, C., A. Nelson, and W. Cartwright
year	2004
title	Using On-Line Geographical Visualisation Tools to Improve Land Use Decision-Making with a Bottom-Up Community Participatory Approach
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. 53-68
summary	This paper examines the development of a prototype suite of on-line integrated multimedia-GIS tools to assist in bottom up decision-making. These tools are being developed in the context of scenario planning to enable the community to actively explore different land use options and the implication of government structure and strategic plans. A case study approach is undertaken, focusing on the Jewell Station Neighbourhood, situated in the City of Moreland, Greater Melbourne Region, Australia. The paper documents the first stage of the project, in developing three land use scenarios delivered through a range of technologies including: VRML, HTML, GIS, Pixmaker and Flash. The paper concludes by outlining the future directions of this research that include: the construction of a virtual sandbox, usability testing, and community consultation.
keywords	Scenario Planning, Geographical Visualisation, GIS, Multimedia, VRML
series	DDSS
last changed	2004/07/03 22:13

_id	ddss2004_d-95
id	ddss2004_d-95
authors	Saarloos, D., Th. Arentze, A. Borgers, and H. Timmermans
year	2004
title	Multi-Agents Generating Alternative Plans in Local Land-Use Planning
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. 95-110
summary	This paper addresses the MASQUE multi-agent framework for generating alternative plans in local land-use planning, In this framework agents represent land-use experts and initiate the development of plan proposals and request each other to express their claims in order to incrementally draw up these proposals. Presented is a probabilistic approach to the implementation of those agents to enable them to make decisions under uncertainty. It is described what personal and collective beliefs they construct and use in order to strategically choose their actions. Negotiation takes place between the initiating agent and the others in order to reach agreement on the incorporation of the claims. The negotiation is organized as an iterative process in which both parties consider conciliatory adjustments of their strategies, and thus their decisions, in order to try to find mutually accepted solutions.
keywords	Multi-Agents, Local Land-Use Planning, Alternative Plan Generation, Reasoning, and Interaction
series	DDSS
last changed	2004/07/03 22:13

_id	ddss2004_ra-85
id	ddss2004_ra-85
authors	Shen, Z.J. and M. Kawakami
year	2004
title	Visualization of Usable Building Space According to Planning Permission Ordinances for Public Participation in District Plan in Japan
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Recent Advances in Design & DecisionSupport Systems in Architecture and Urban Planning, Dordrecht: Kluwer Academic Publishers, ISBN: 1-4020-2408-8, p. 85-98
summary	The district plan in Japan is designed and implemented through public participation, which is based on the zone restrictions of land use system. The usable space of a building can be generated according to the zone restrictions implemented in a district plan, which include the planning controls of high altitude, oblique line and so on. Residents can choose control items as their preference in order to control the urban physical environment of the district. In this paper, we discuss how to generate the virtual world according to the data set of GIS including planning control items and how it can work for net participation. In the future, we would like to conduct an Internet social experiment with the cooperation of a city government and residents in order to support the district plan in a local city.
keywords	WEBGIS, JAVA3d, Planning restrictions, Public participation
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	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	bfa9
id	bfa9
authors	Mahiques, Myriam Beatriz
year	2004
title	BUENOS AIRES: URBAN QUADRILLE AND FRACTALITY UNDER THE LIGHT OF SOCIAL ASPECTS
source	Proceedings of the Fourth International Conference of Mathematics & Design, Special Edition of the Journal of Mathematics & Design, Volume 4, No.1, pp. 55-59.
summary	Investigations about urban form are developed in many directions, being the history branch the strongest. It is based on the importance of forms created by previous generations. So, urban morphologists must examine the inhabitants and the processes that originate the urban form. In our discipline, ´´epistemological physicalism´´ is studied through the theory of complex systems and chaos theory. The resultant shape is obtained by selecting some elements of the abstract structure considered (non Euclidean geometry) and simulation software is used for experimentation, like L Systems, Diffusion Limited Aggregated, Cellular Automata. Then we have to discover what is veiled at first sight and to reflect on the optimal model for the community.
series	other
type	normal paper
email
last changed	2005/04/07 12:48

_id	ddss2004_d-77
id	ddss2004_d-77
authors	Tangari, L., M. Ottomanelli, and D. Sassanelli
year	2004
title	The Project Planning of Urban Decongestion
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. 77-92
summary	This study introduces a methodology for the evaluation, among a set of possible plans and/or policies, of a transport system which could reduce the effects of the network congestion on an urban area. Hence it is proposed a procedure which contains a new element compared with the current methodologies that is the final user’s evaluation of the examined system by turning to the application of the contingent valuation method, a technique like stated preferences. The approach we propose is based on the necessity for a determination of an optimal solution to the urban congestion to be established on the politic acceptability by the final user. Solutions which result virtually feasible for a public administration both on a technique and economic point of view often meet hostility by individuals. Consequently, it would be interesting for policy makers to adopt a process of valuation which could let to understand the user’s sensitivity and hostility towards specific configurations of the system, chosen as solution to decongestion (traffic calming, roadpricing, auto-free zones) and consequently to make less unpleasant the strategy to be carried out to control congestion (Harrington et al., 2001). In this way, a user does not judge the implementation of a set of projects made by a decision-maker as imposition and he is willing to pay in order to fulfil the chosen scenario. Finally we describe an application of the proposed methodology relating the definition of the integrated transport system in the metropolitan area of Bari, chief town of Apulia.
keywords	Contingent Valuation, Transportation Planning, Urban Decongestion
series	DDSS
last changed	2004/07/03 22:13

_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-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	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	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

_id	eaea2003_15-breen
id	eaea2003_15-breen
authors	Breen, J. and Giro, H.
year	2004
title	The DXI Experience. Ten Years of Design Visualization Developments in an Educational Laboratory Context
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. 71-77
summary	Design visualisation is an essential aspect of virtually every form of design enquiry. The effects of potential environmental interventions may be simulated in order to gain the types of insights, which cannot be acquired easily from two-dimensional notations. Three-dimensional representations may be generated for very different reasons. The most direct form of design imaging is traditionally for the benefit of the designer him/herself, in order to test whether the working concepts offer fitting solutions to the complex array of design conditions such as context, programme and feasibility. Alternately, images may be generated for the benefit of communication, in order to offer insights into the expected workings of a particular proposal (possibly including alternatives). This may lead to greater understanding and possibly to reaching consensus amongst different ‘actors’ involved in the design and realisation process. In many cases the results of such visualisation studies contribute to ‘bridging the gap’ between the professionals and other parties involved more indirectly in design decision-making or the appraisal of the proposals. Designers can use distinctly different methods when going about such imaging procedures. Their choices for particular techniques may depend on their familiarity or the availability of certain media devices. Being confronted with new modelling and/or visualisation instruments can stimulate the interest in fresh approaches. In this respect, the design education environment can play an important role in not only teaching ‘proven’ applications to future designers, but also in creating a platform for the active development of innovative approaches to the design visualisation practices: education as a ‘laboratory’ for new insights and potentially a ‘breeding ground’ for the extension of the designer’s instrumentation. This contribution documents the experiences gained in some ten years within an educational application, involving active use of design driven media applications. The emphasis lies on the evolvement of techniques for eye-level imaging, whereby use can be made of different types of models: physical scale models as well as digital, virtual models. Changing attitudes towards dynamic and serial vision are considered, whereby storyboard approaches on the level of integral presentation are considered. By analysing a selection of cases and their underlying approaches an indication is given of the changing attitudes and combinations of multimedia techniques, which offer opportunities to design visualisation and communication.
series	EAEA
more	http://info.tuwien.ac.at/eaea
last changed	2005/09/09 10:43

_id	ddss2004_d-193
id	ddss2004_d-193
authors	Burkhard, R.
year	2004
title	Visual Knowledge Transfer between Planners and Business Decision Makers
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. 193-208
summary	The transfer of knowledge between planners and business decision makers can be improved when planners combine traditional visualizations with business knowledge visualizations. Today architects and urban planners use visualization methods such as sketches, diagrams, drawings, renderings, models and animations to illustrate their projects. While spending an enormous amount of time to illustrate a project, almost no time is used to illustrate business relevant information that decision makers need (i.e., revenue models, risks, return on investments, project phases). Consequences are information overload, misinterpretation or even misuse of information. Juxtaposing the visualizations that planners and decision makers use reveals a major gap: Both groups use different visualization types and are not familiar with the visualization types of each other. This paper stresses the importance to expand the visualization types of planners with business knowledge visualizations. First, it discusses the functioning of visual representations for the transfer of knowledge. Second, it introduces a general knowledge visualization framework. Third, it illustrates examples from an innovative office that improved knowledge transfer with decision makers in urban planning projects. We found that combining traditional visualizations with business knowledge visualizations reduces the information overload, prevents misinterpretation, increases the information quality, improves communication and as a consequence improves decision making. We found that decision makers pay extra for these visualization types, which therefore is a new source of income for planners. The results have implications for the education of future architects.
keywords	Decision Making, Knowledge Transfer, Visualization Types, Interfunctional Communication, Business Knowledge Visualization, Information Visualization
series	DDSS
last changed	2004/07/03 22:13

_id	ddss2004_d-1
id	ddss2004_d-1
authors	Cerovsek, T. and B. Martens
year	2004
title	On the Extended Use of Citations in CAAD
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. 1-17
summary	This paper discusses the extended use of the Cumulative Index of CAAD (CUMINCAD) - a digital library set up in 1998 serving the CAAD-community as an important source of scientific information with over 6.000 recorded entries published on-line. The aim of this paper is to elaborate a related Citation Index to CUMINCAD - with over 20.000 references - and to provide information on entries with an exceptional high impact in the CUMINCAD database. The importance is determined through its use (citing) in the framework of afterwards published scientific materials. By utilizing graph theory methods extensive citation analyses will be presented illustrating the impact of particular contributions in different research topics.
keywords	Scientific Knowledge Management, Retrospective CAAD Research, Graph Theory, CAAD-Related Publications, Web-Based Bibliographic Database
series	DDSS
last changed	2004/07/03 22:13

_id	ddss2004_ra-145
id	ddss2004_ra-145
authors	Devisch, O.T.J., H.J.P. Timmermans, T.A. Arentze, and A.W.J. Borgers
year	2004
title	Towards a Generic MultiAgent Engine for the Simulation of Spatial Behavioural Processes
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. 145-160
summary	SwarmCity is being developed as a micro-simulation model, simulating the location-choice behaviour of a population of households, retailers, firms, developers, etc. reacting to an urban plan. The focus of SwarmCity lies –in a first phase- on the decision-making procedures of households, conceptualised as a series of three processes: awakening, search and choice. The methodology used to implement these processes makes use of life-time utility and decisionanalysis trees. The final model should work as a scenario-analysis tool, allowing planners, developers, retailers and municipalities to test interventionproposals, to evaluate legislations, to measure the attractiveness of services, to quantify residential mobility, etc. This paper illustrates the state of the art in household location-choice modelling and introduces a first attempt in developing a conceptual framework.
keywords	Micro Simulation, Multi-Agent Systems, Spatial Simulation Models, Scenario Analysis, Heuristic Decision-Making, Location-Choice Behaviour, DecisionAnalysis Trees, Residential Mobility, Lifetime Utility
series	DDSS
last changed	2004/07/03 22:13

_id	sigradi2004_175
id	sigradi2004_175
authors	Diana Rodríguez Barros
year	2004
title	Modelos urbanos virtuales y lecturas hipermediales [Virtual Urban Models and Hypermedia Readings]
source	SIGraDi 2004 - [Proceedings of the 8th Iberoamerican Congress of Digital Graphics] Porte Alegre - Brasil 10-12 november 2004
summary	The urban virtual models are complex environments where interactive modelization and visualization systems have developed high advances, making possible they applications in many different purposes, by expert and non-expert users. Is interesting, in hypermedial reading, to recognise and to evaluate the advantages and obstacles to examine a 2D-3D-4D-5D model. In that direction is presented an exploratory study of preexperimental design, in which is investigated the impacts and influences in non-expert users, that the presence and use of interactive strategies of navigation, selection and manipulation, produces in the results and affects the attitudes with regard to the possibilities of understanding and integration of information and in the confusion and cognitive overflow. The objective is to contribute in the definition and systematization of methodologys and design patterns about interfaces and interactions in three-dimensional hypermedia, from theoretical, operating and pedagogical approach.
keywords	Hypermedial / virtual model /interaction/ interface / exploratory study
series	SIGRADI
email
last changed	2016/03/10 09:50

_id	ddss2004_d-21
id	ddss2004_d-21
authors	Fantini, F., U. Schiavoni, and B. Barboni
year	2004
title	Urban Planning as Project Management
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. 21-32
summary	We consider program proposals as separate projects and use an incremental decision process (Incremental Functional Formulation) backed by methods of optimisation through incremental and interactive decision processes which have been developed in operations research. These methods fit the illstructured problems in planning better than the conventional optimisation methods. We'll conclude showing one of the possible concrete applications of our model to a real-life case, where one of the main results was a suggested expense of € 4 millions leading to the 90% of the result possible with the cost of € 10 millions (but with just a 40% expenditure).
keywords	Urban Planning, Models, Operations Research, Project Management
series	DDSS
last changed	2004/07/03 22:13

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