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_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 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 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

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