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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
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_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	ddss2006-pb-185
id	DDSS2006-PB-185
authors	O.T.J. Devisch, H.J.P. Timmermans, T.A. Arentze, and A.W.J. Borgers
year	2006
title	Modelling Residential Search and Location Choice - Framework and Numerical Experiments
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. 185-200
summary	People only move a limited number of times during their lifetime. Factors such as high financial costs, local social networks, emotional bounds, etc. make that people typically postpone this decision as long as possible, up to the point where the benefit of alternative housing outperforms all these factors. Then things generally have to go fast. This combination of time-pressure, high costs and lack in experience turn residential search and location choice into a complex decision process. This paper presents a model developed to grasp some of this complexity. Households are approached as autonomous decision-makers continuously evaluating whether to search for information, to visit houses for inspection, to start negotiating with the owner of a house for sale or to do nothing and stay in the current house. Households make these evaluations on the basis of beliefs regarding their environment and update these beliefs each time they collect new information on this environment.
keywords	Microsimulation, Spatial simulation models, Strategic decision-making, State dependent behaviour, Belief-updating
series	DDSS
last changed	2006/08/29 12:55

_id	ddssup0216
id	ddssup0216
authors	Saarloos, D.J.M., Arentze, T.A., Borgers, A.W.J. and Timmermans, H.J.P.
year	2002
title	Towards a Local Planning Support System,Introducing the MASQUE Framework
source	Timmermans, Harry (Ed.), Sixth Design and Decision Support Systems in Architecture and Urban Planning - Part two: Urban Planning Proceedings Avegoor, the Netherlands), 2002
summary	Urban planning is an important instrument for improving the quality of life, but it is hampered by the fact that the effects of many decisions, to be made by the planner, are practically unknown or at best unclear. The high level of complexity, uncertainty and subjectivity involved in urban plan development is seriously troubling the planner. One way of facilitating the plan development process, and potentially improving the decision-making, is developing a Planning Support System (PSS) that combines artificialintelligence with a gamut of computational tools that support the process. At the Eindhoven University of Technology a research program is conducted to develop such a system for local urban planning in the Netherlands. The system, named MASQUE (Multi-Agent System for supporting the Quest forUrban Excellence), applies Multi-Agent technology to incorporate multidisciplinary expertise on both tools and domains as well as to enable intelligent guidance and assistance towards the user. Strong emphasis is put on the scenario-based way of working that is common in urban planning. This paper puts forward the difficulties faced in local planning practice and discusses the possibilities for computer-assistance. This finally resolves into the introduction of the MASQUE framework, describing how the system is organized and how the agents will be involved.
series	DDSS
last changed	2003/08/07 16:36

_id	ddss2004_d-33
id	ddss2004_d-33
authors	Pelizaro, C., T.A. Arentze, and H.J.P. Timmermans
year	2004
title	A Spatial Decision Support System for Provision and Monitoring of Urban Green Space
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. 33-48
summary	A spatial decision support system for the planning, design and maintenance of urban green space is presented. The objective of the system under development is to assist local authorities and green space administrators to strategically enhance the supply of urban greening with the right type and variety of green space that maximizes public welfare. The system is being developed starting from a modelling perspective and GIS functionalities are added conform the needed analysis and subroutines within the system. The system has been written in the C++ Borland Builder 5 programming environment. GIS capabilities and dynamic mapping are added using MapObjects 2.0.
keywords	Design & Decision Support Systems, Integrated Urban Models, Urban Planning, Urban Green Space
series	DDSS
last changed	2004/07/03 22:13

_id	ddssup9602
id	ddssup9602
authors	Arentze, T.A., Borgers, A.W.J. and Harry J.P.
year	1996
title	A knowledge-based model for developing location strategies in a DSS for retail planning
source	Timmermans, Harry (Ed.), Third Design and Decision Support Systems in Architecture and Urban Planning - Part two: Urban Planning Proceedings (Spa, Belgium), August 18-21, 1996
summary	Most DSS for retail planning are based on impact assessment models to support the evaluation of plan scenario's. This paper introduces a complementary knowledge-based model to support also the earlier stage of formulating plan scenario's. An analysis of the retail planning problem reveals the main lines of the strategies adopted by most Dutch planners and retailers to achieve their goals. A basic strategy that seems to be appropriate in most problem contexts is formulated in the form of a set of decision tables. Each decision table or system of decision tables specifies for a problem area decision rules to identify and analyse problems and to formulate possible actions. The model is implemented in a DSS where it is used in combination with quantitative impact assessment models. A case study in the area of daily good facilities demonstrates the approach. The major conclusion is that the knowledge-based approach and in particular the decision table technique provides interesting possibilities to implement planning task structures in a DSS environment.
series	DDSS
last changed	2003/11/21 15:16

_id	ddss2006-pb-135
id	DDSS2006-PB-135
authors	Theo A. Arentze, Aloys W.J. Borgers, and Harry J.P. Timmermans
year	2006
title	A Heuristic Method for Land-Use Plan Generation in Planning Support Systems
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. 135-151
summary	Existing land-use allocation methods assume that the suitability of a spatial distribution of land-uses can be measured as the sum of suitability scores across parcels. Although this may be plausible for some land-uses, facilities such as retailing, schools, medical services, etc., intend to serve the needs of a local population and should be evaluated at the level of a facility network, instead. The purpose of the present paper is to develop a method that combines a suitable heuristic for facility-location planning with an existing mechanism for land-use allocation, to solve this shortcoming of existing models. In specific, the proposed method combines the interchange heuristic for locating facilities and a swapping heuristic for area-type land-use allocation in a multi-agent framework. A case study shows that the method generates plausible land-use plans in reasonable computation time.
keywords	Urban planning, Planning support systems, Location-allocation models, Suitability analysis
series	DDSS
last changed	2006/08/29 12:55

_id	ddss2008-21
id	ddss2008-21
authors	Horeni, Oliver; T.A. Arentze, H.J.P. Timmermans, and B.G.C. Dellaert
year	2008
title	INTERVIEW TECHNIQUES FOR MEASURINGINDIVIDUALS’ MENTAL REPRESENTATIONSSPACE-TIME CHOICESAn outline of three IT-based survey methods
source	H.J.P. Timmermans, B. de Vries (eds.) 2008, Design & Decision Support Systems in Architecture and Urban Planning, ISBN 978-90-6814-173-3, University of Technology Eindhoven, published on CD
summary	A better exploration of human decision making is a necessary condition to understand individual activity-travel choices. With the advent of mental model theory a conceptual framework of individuals’ causal knowledge of the environment and its links to the behavioural choice outcome was available. Accordingly, interview techniques had been developed in order to elicit mental representations from individuals’ mind. Although these techniques delivered reliable and useful results, it turned out quickly, that they could not be applied to large-scale surveys. Hence, this paper will report on the development of three IT-based interview techniques, which are promising avenues to measure mental representations in an efficient and flexible way.
keywords	Activity-travel choice, Mental representations, Electronic surveying
series	DDSS
last changed	2008/09/01 17:06

_id	ddssup9622
id	ddssup9622
authors	Witlox, F.J.A., Arentze, T.A. and Timmermans, H.J.P.
year	1996
title	Constructing and consulting fuzzy decision tables
source	Timmermans, Harry (Ed.), Third Design and Decision Support Systems in Architecture and Urban Planning - Part two: Urban Planning Proceedings (Spa, Belgium), August 18-21, 1996
summary	In this paper, we investigate a methodological issue associated with the use of decision tables (DTs). In particular, a predominant problem concerns the categorization of the condition and action states in a DT. This categorization is assumed to exhibit a discrete (or crisp) character. Although sharply defined discrete categorizations imply an. accurate and precise decision-making, in many real time problems it proves to be a too stringent and severe assumption to impose on the choice maker. In order to solve this problem, we will enhance the DT formalism to incorporate elements from the theory of fuzzy sets. The construction of a fuzzy decision table (FDT) is explained in a step-by-step manner and illustrated by means of a brief example in the field of location theory. The paper concludes with an assessment of how to use and consult a FDT.
series	DDSS
last changed	2003/08/07 16:36

_id	ddss2006-pb-153
id	DDSS2006-PB-153
authors	Linda Ma, Theo Arentze, Aloys Borgers, and Harry Timmermans
year	2006
title	A Multi-Agent Model for Generating Local Land-Use Plans in the Context of an Urban Planning Support System
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. 153-168
summary	In a multi-player urban planning process, the outcome of any individual decision of the actors is uncertain until a state where the plan is satisfactory for all. To support the plan generation phase, this paper develops a generic multi-agent system, in which agents represent particular land-uses. In the system, agents higher in the hierarchy have priority over agents lower in the hierarchy to claim units of land. This one-direction claim process may result in a plan that is not optimal for every agent. The system, therefore, allows agents to revise their plans in an iterative procedure. A case study illustrates centralized, semi-centralized and decentralized solutions for a plan area based on the outcomes of different strategies used by facility agents (retail, green, schools) and a housing agent. The results show that the proposed system is able to generate rational and realistic plan alternatives for new residential areas.
keywords	Multi-agent system, Planning support system, Plan alternative, Land use planning
series	DDSS
last changed	2006/08/29 12:55

_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_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	ddss2008-16
id	ddss2008-16
authors	van den Berg, Pauline E.W.; Theo A. Arentze and Harry J.P. Timmermans
year	2008
title	Pauline E.W. van den Berg, Theo A. Arentze and Harry J.P. Timmermans
source	H.J.P. Timmermans, B. de Vries (eds.) 2008, Design & Decision Support Systems in Architecture and Urban Planning, ISBN 978-90-6814-173-3, University of Technology Eindhoven, published on CD
summary	New information and communication technologies (ICT’s), gain importance and are changing people’s daily lives. With the introduction of new ICT’s, alternatives for face-to-face contacts and physical presence are provided. In that sense, ICT may offer a substitute to physical travel. Other potential relationships between telecommunication and travel are neutrality, complementation or modification. The relationship between ICT and activitytravel patterns has received a substantial amount of attention recently. However, a link with the wider activity patterns of individuals and households and environmental characteristics is missing in existing studies. The spatial and mobility impacts of social networks are not well known either. However, social networks are crucial to an understanding of travel behaviour. The most important part of travel demand for non-work purposes in terms of distance travelled is for socializing with network members. Hence, individuals’ social network characteristics are relevant for their propensity to perform social activities. The study of social networks can provide new insights to understand the generation of social activities and travel involved. In order to increase our understanding of the interrelationships between properties of the built environment, ICT-use, social networks and activity-travel patterns, these links should be the starting point for analysis. This paper presents a data collection instrument that was developed to study these links and the results of an application of the instrument in a survey among a large sample of households in the Eindhoven region, and discusses the implications of the findings for planning support models.
keywords	Social networks, social interaction, ICT, activity-travel, communication diary
series	DDSS
last changed	2008/09/01 17:06

_id	ddss2008-43
id	ddss2008-43
authors	Katoshevski, Rachel; Theo Arentze and Harry Timmermans
year	2008
title	Simulating Urban Dynamics Using a Combination of CellularAutomata and Activity-Based Models
source	H.J.P. Timmermans, B. de Vries (eds.) 2008, Design & Decision Support Systems in Architecture and Urban Planning, ISBN 978-90-6814-173-3, University of Technology Eindhoven, published on CD
summary	Cellular automata models of urban change have been criticised for their lack of behavioural theory and representation in simulating urban change. It has led to a plea for developing multi-agent models. As a first step into this direction, this paper discusses the formulation of a combination of a cellular automata representation for an initial configuration of land use. This is linked to an activity-based model of travel demand, which generates varying demand for facilities across space. Agents, representing facility providers respond to this demand in locating and resizing their facilities. The interplay between these components then results in urban dynamics. The model is illustrated using a hypothetical example of urban forms.
keywords	Cellular automata, Activity-Based Modelling, Urban dynamics
series	DDSS
last changed	2008/09/01 17:06

_id	ddss2008-44
id	ddss2008-44
authors	Manzato, Gustavo G.; Theo A. Arentze, Harry J. P. Timmermans and Dick Ettema
year	2008
title	An Agent for Supporting and Simulating Locations Decisions of Firms
source	H.J.P. Timmermans, B. de Vries (eds.) 2008, Design & Decision Support Systems in Architecture and Urban Planning, ISBN 978-90-6814-173-3, University of Technology Eindhoven, published on CD
summary	The objective of this paper is to present the scope and the contents of an agent for supporting and simulating location decisions of firms. An application of one of its features, which is related to finding a location for a given firm, is developed here as an illustration of the approach. We can conclude that the agent is able to perform an evaluation of suitable locations in space given a set of firm’s characteristics or requirements. Other features may also be derived, for example, finding firms that meet the environmental characteristics and also an attempt to simulate the allocation of firms, seeking a location, to the set of available locations.
keywords	Design & Decision Support Systems, Firm Location Decisions
series	DDSS
last changed	2008/09/01 17:06

_id	ddss2008-07
id	ddss2008-07
authors	Nijland, Linda; Theo Arentze and Harry Timmermans
year	2008
title	Multi-Day Activity Scheduling Reactions to FutureEvents in a Dynamic Agent-Based Model of Activity-Travel Behaviour
source	H.J.P. Timmermans, B. de Vries (eds.) 2008, Design & Decision Support Systems in Architecture and Urban Planning, ISBN 978-90-6814-173-3, University of Technology Eindhoven, published on CD
summary	In the context of activity-based transport simulation models, multi-day activity planning is receiving increasing attention. The aim of this paper is to develop and illustrate an extension of a needs-based model of activity generation that takes into account possible influences of pre-planned activities and events. This paper describes the theory and shows the results of simulations of the extension. The simulation was done for six different activities and different parameter values. The results show that the model works well and the influences of the parameters are clear and seem logical.
keywords	Travel Demand, Activity-Based Modelling, Activity Generation, Activity Scheduling, Needs, Multi-Day Activity Planning
series	DDSS
last changed	2008/09/01 17:06

_id	ddss2006-pb-19
id	DDSS2006-PB-19
authors	Renni Anggraini, Theo Arentze, and Harry Timmermans
year	2006
title	A Model of Within-Households Travel Activity Decisions Capturing Interactions between Household Heads
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. 19-33
summary	This paper describes a conceptual framework for modeling activity interactions between household heads in conducting out-of-home maintenance activities. It is comprised of several steps; generation of household activities, task allocation of household activities, trip-chaining choices, resource allocation and mode choice. The models are specified for different household types: worker and non-worker households, with or without children. The purpose of this paper is to introduce the modeling framework for household travel activity decision making processes so that it can capture interactions between household heads.
keywords	Activity-based modeling, Travel demand, Maintenance activities, Within-household interaction
series	DDSS
last changed	2006/08/29 12:55

_id	ddss2008-27
id	ddss2008-27
authors	Ronald, Nicole; Theo Arentze and Harry Timmermans
year	2008
title	Modelling social aspects of travel behaviourA preliminary review
source	H.J.P. Timmermans, B. de Vries (eds.) 2008, Design & Decision Support Systems in Architecture and Urban Planning, ISBN 978-90-6814-173-3, University of Technology Eindhoven, published on CD
summary	Recent travel forecasting models have focussed strongly upon the fact that travel is derived from the activities in which people participate, such as work, school, shopping, sport, leisure, and social events. Participation in social activities is determined by one's friends and the groups that one is a member of, i.e., their household, their workplace/school, sporting groups, voluntary organisations and clubs. These acquaintances form part of an individual's social network: a representation of the people one interacts with. This paper presents a review of the intersection between social networks and travel behaviour, identifies the key concepts, and discusses how agent-based models could be used to explore the effects of social networks on travel behaviour.
keywords	Agent-based models, social networks, travel behaviour
series	DDSS
last changed	2008/09/01 17:06

_id	ddss9402
id	ddss9402
authors	Arentze, T., Borgers, A. and Timmermans, H.
year	1994
title	Design of a View-Based DSS For Location Planning
source	Second Design and Decision Support Systems in Architecture & Urban Planning (Vaals, the Netherlands), August 15-19, 1994
summary	This paper describes the design of a DSS for locating facility networks. The proposed DSS is based on the principle of dynamic data definitions. The declarative and procedural forms of knowledge involved are identified by a logical analysis of planning tasks. The DSS supports an iterating process of adjusting and evaluating plan options. A flexible and interactive problem solving environment is achieved by means of a user defined set of views that captures both forms of knowledge. Each view describes the system to be planned in terms of a set of variables and attached evaluation procedures. The views are dynamic and linked data structures, so that changes in one view automatically lead to updating all linked views. The DSS supports both the specification of the set of views and its application to solve a specific location problem.
series	DDSS
email
last changed	2003/08/07 16:36

_id	ddss9803
id	ddss9803
authors	Arentze, T., Borgers, A. and Timmermans, H.
year	1998
title	Extending spatial DSS with spatial choice models of multipurpose shopping trip behaviour
source	Timmermans, Harry (Ed.), Fourth Design and Decision Support Systems in Architecture and Urban Planning Maastricht, the Netherlands), ISBN 90-6814-081-7, July 26-29, 1998
summary	Spatial choice or interaction models have been widely used in spatial DSS or customised GIS for analysing the impacts of retail location plans. The models typically used, however, do not account for spatial agglomeration effects on spatial choice behaviour. This study develops a model system for analysing the impacts of retail plans based on a choice model of multipurpose behaviour developed in earlier work. The model system is implemented in the spatial DSS called Location Planner. An empirical study demonstrates the empirical estimation and use of the model for analysing the impacts of an expansion of floor space in the major shopping centre of a middle-sized city in The Netherlands. The results indicate that agglomeration effects as predicted by the model can have substantial impacts on the performance of retail systems. Therefore, it is argued that when incorporated in a spatial DSS, the more complex models have the potential to improve the use of these systems for impact analysis.
series	DDSS
last changed	2003/11/21 15:16

_id	ddss9403
id	ddss9403
authors	Arentze, T., Borgers, A., Dellaert, B. and Timmermans, H.
year	1994
title	A Multi-Purpose Multi-Stop Model Describing Consumers' Choices of Shopping Centres
source	Second Design and Decision Support Systems in Architecture & Urban Planning (Vaals, the Netherlands), August 15-19, 1994
summary	Recently, a number of interesting extensions to traditional decompositional and discrete choice models has been introduced that allow one to combine parameters estimated in different phases ofcomplex choice processes. These extensions offer new possibilities to model combinations of choices consumers make if they select shopping centres to visit. This paper will introduce a modelling approach that describes consumer choices of shopping centres involving multiple shopping functions (multi purpose) as well as locations (multi stop). The approach extends traditional decompositional models of single choices to a model of combinations of choices. It uses a recursive scaling procedure that combines attributes related to different shopping functions and to shopping centres at different locations. The model will be tested on data collected on shopping behaviour in Maastricht, the Netherlands.
series	DDSS
email
last changed	2003/08/07 16:36

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