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id ecaade2018_166
authors Unger, Pawe³ and Rom?o, Luís
year 2018
title The Game of Urban Attractiveness - Shape Grammars and Cellular Automata Based Tool for Prediction of Human's Behaviour in Cities
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 629-638
summary This paper presents a way to predict people's interest in a public space based on a space's "attractiveness" as a movement attractor. Two generative systems are integrated into the prediction model. The Cellular Automata (CA) is the core of simulation engine and the Shape Grammars (SG) is a descriptive language for the CA rules. Both, CA and SG exhibit complementary features counteracting each other's drawbacks. Having translated social behaviour into a set of rules, the CA algorithm applies them to distinguish people's leisure interest attractors from places with a minor attractiveness. The tool is designed to be used at various urban scales by city planners and venture capitalists. It is dedicated towards the early stage of planning process to evaluate the future attractiveness of places. The case study is located in the central district of Lisbon, Bairro Alto. One of the important aspects are description of the rules with SG and interpretation of the CA results. Implemented in Python for Grasshopper and visualised in Rhinoceros3D. The article does not present the final solution, rather is an experimental attempt to interpret and describe the already explored urban context of Cellular Automata.
keywords Behaviour Prediction; Cellular Automata; Shape Grammars; Space Attractiveness; Urban Simulation
series eCAADe
full text file.pdf (2,192,195 bytes)
references Content-type: text/plain
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