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_id	a126
id	a126
authors	Finucane E, Derix C and Coates P
year	2006
title	Evolving Urban Structures using Computational Optimisation
source	Proceedings of the Generative Arts conference, Milan, 2006
summary	This paper investigates the use of computer analogies for naturally inspired optimisation techniques as an aid to developing the site layout and massing for the new World Trade Centre development in Pristina Kosovo, which is being designed and developed by 4M Group architectural company, in conjunction with the Advanced Modelling Group Aedas. The development of a genetic algorithm will incorporate various techniques, that have been developed in the field of multi-objective optimisation, to create three dimensional massing models, and site layout solutions which partially fulfil the Prisina brief requirements, which are taken from specifications created by 4M Group. Genetic algorithms are based on natural evolutionary principles which are explained in this paper. It will incorporate Pareto concepts to manage the optimisation of the various objective functions. For example, these will include volume and position of units, which will ensure that the different and sometime conflicting needs of the site are balanced throughout the optimisation. This type of problem is often known as an NP-complete (non-determinate polynomial time) problem. This will provide architects and planners with a number of Pareto optimised site massing solutions as an aid to the design process. An initial investigation into the specifics of the Pristina site requirements, will be followed by an investigation into the the genetic algorithm which is created in Visual Basic for Applications (VBA) linked with AutoCAD as the graphical output of the code. The embryology (development) of the various solutions from the genetic information incorporates an ‘ant’ pheromone trail model, which simulates the action of ants during food foraging, as a tool for initial route planning within the site. Diffusion and cellular automata are used during the development of the solution to construct the massing for the site.
keywords	urban planning, evolutionary algorithms, pareto optimization, Lindenmayer systems, ant-colony optimization, cellular automaton
series	other
type	normal paper
email
more	http://www.generativeart.com/
last changed	2012/09/20 18:33

_id	ddss2006-hb-53
id	DDSS2006-HB-53
authors	Junfeng Jiao and Luc Boerboom
year	2006
title	Transition Rule Elicitation Methods for Urban Cellular Automata Models
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) 2006, Innovations in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Springer, ISBN-10: 1-4020-5059-3, ISBN-13: 978-1-4020-5059-6, p. 53-68
summary	In this chapter, transition rules used in urban CA models are reviewed and classified into two categories: transition potential rules and conflict resolution rules. Then, four widely used rule elicitation methods: Regression analysis, Artificial Neural network (ANN), Visual calibration, and Analytical Hierarchy Processing - Multi Criteria Evaluation (AHP-MCE) are discussed. Most of these methods are data driven methods and can be used to elicit the transition potential rules in the urban CA models. In the following, three possible rule elicitation methods: Interview, Document analysis, and Card sorting are explained and demonstrated. These three methods are driven by knowledge and can be used to elicit conflict resolution rules as well as transition potential rules in urban CA models.
keywords	Cellular Automata (CA), Simulation, Modelling, Transition rule, Elicitation
series	DDSS
last changed	2006/08/29 12:55

_id	ddss2006-hb-187
id	DDSS2006-HB-187
authors	Lidia Diappi and Paola Bolchi
year	2006
title	Gentrification Waves in the Inner-City of Milan - A multi agent / cellular automata model based on Smith's Rent Gap theory
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) 2006, Innovations in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Springer, ISBN-10: 1-4020-5059-3, ISBN-13: 978-1-4020-5059-6, p. 187-201
summary	The aim of this paper is to investigate the gentrification process by applying an urban spatial model of gentrification, based on Smith's (1979; 1987; 1996) Rent Gap theory. The rich sociological literature on the topic mainly assumes gentrification to be a cultural phenomenon, namely the result of a demand pressure of the suburban middle and upper class, willing to return to the city (Ley, 1980; Lipton, 1977, May, 1996). Little attempt has been made to investigate and build a sound economic explanation on the causes of the process. The Rent Gap theory (RGT) of Neil Smith still represents an important contribution in this direction. At the heart of Smith's argument there is the assumption that gentrification takes place because capitals return to the inner city, creating opportunities for residential relocation and profit. This paper illustrates a dynamic model of Smith's theory through a multi-agent/ cellular automata system approach (Batty, 2005) developed on a Netlogo platform. A set of behavioural rules for each agent involved (homeowner, landlord, tenant and developer, and the passive 'dwelling' agent with their rent and level of decay) are formalised. The simulations show the surge of neighbouring degradation or renovation and population turn over, starting with different initial states of decay and estate rent values. Consistent with a Self Organized Criticality approach, the model shows that non linear interactions at local level may produce different configurations of the system at macro level. This paper represents a further development of a previous version of the model (Diappi, Bolchi, 2005). The model proposed here includes some more realistic factors inspired by the features of housing market dynamics in the city of Milan. It includes the shape of the potential rent according to city form and functions, the subdivision in areal submarkets according to the current rents, and their maintenance levels. The model has a more realistic visualisation of the city and its form, and is able to show the different dynamics of the emergent neighbourhoods in the last ten years in Milan.
keywords	Multi agent systems, Housing market, Gentrification, Emergent systems
series	DDSS
last changed	2006/08/29 12:55

_id	ddss2006-hb-35
id	DDSS2006-HB-35
authors	Y. Gohnai, A. Ohgai, S. Ikaruga, T. Kato, K. Hitaka, M. Murakami, and K. Watanabe
year	2006
title	Development of a Support System for Community-Based Disaster Mitigation Planning Integrated with a Fire Spread Simulation Model Using CA - The results of an experimentation for verification of its usefulness
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) 2006, Innovations in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Springer, ISBN-10: 1-4020-5059-3, ISBN-13: 978-1-4020-5059-6, p. 35-51
summary	This research carried out an experiment to verify the usefulness of a WebGIS-based system that we have been developing (A support system for community-based disaster mitigation planning integrated with a fire spread simulation model using CA) BEFORE, DURING and AFTER Workshops. Based on the data collected from the experiment, the usefulness and advantages of the system were verified from various angles. As a result, it was found that even though there are still some issues to be solved, the system is useful and effective as a support tool and also in enhancing awareness before and after Workshops.
keywords	Community-based planning for disaster mitigation, Planning support system, Fire spread simulation, Cellular automata, WebGIS
series	DDSS
last changed	2006/08/29 12:55

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