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id ddss2008-35
authors Neema, M.N. and A. Ohgai
year 2008
title A GA-based Multi-Objective Optimization Model for Location Planning of Urban Parks and Open Spaces A Case Study on Dhaka City
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 this paper, we present a new multi-objective location model for urban parks and open spaces (POSs) planning. We developed a Genetic Algorithm (GA) based multi-objective optimization model (GAMOOM) to derive optimum locations of POSs by considering four incommensurable objectives with the provision of POSs near: 1) densely populated areas, 2) air polluted areas, 3) noisy areas, and 4) areas without open spaces. The success of the model is presented through its application as a case study on Dhaka City. Obtained results indicate that the model can successfully provide optimum location of required POSs. The findings from this study also signify that optimum location of POSs obtained by utilizing only the second objective is substantially different than that of others. Moreover, there is also difference in optimum location of POSs by taking into account only the third objective when compared with others. Therefore, considering single objective cannot give optimum results for good POSs planning. So, it is verified that POSs should be planned by optimizing multiple objectives instead of single objective. The outcome of this multi-objective GAMOOM model does have an implication on how POSs should be designed and managed by the planning authority for not only sustainable environment but also better quality of life in a city.
keywords Genetic Algorithm (GA), Multi-Objective Optimization, Parks and Open Space (POS)
series DDSS
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