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id acadia09_264
authors Zhang, Yu; Feng, Han; Wang, Jianguo
year 2009
title An Interactive Decision Support System for Deriving Plot Ratios Based on the Similarity Relations Between Land Attributes
source ACADIA 09: reForm( ) - Building a Better Tomorrow [Proceedings of the 29th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-9842705-0-7] Chicago (Illinois) 22-25 October, 2009), pp. 264-266
doi https://doi.org/10.52842/conf.acadia.2009.264
summary This paper presents a simple tool for deciding land attribute plot ratios by defining elementary entities and their relationships from the viewpoint of a complex adaptive system. Each entity in this case, a block in the city, is described according to its condition and potential for development, such as land function, accessibility, landscape control, and so on. This not only provides a rich yet subtle identification of each entity, but also creates the basis to establish dynamic interconnections between them. The similarity coefficient, calculated by the comparison between the different blocks’ factors fits well with the explanation of the spontaneous development of the city. The weight of every factor and the threshold of the similarity coefficient are both set as variables, with the optimized value recommended as a default, which ensures a multitudinal application of this software with a focus on different aspects of urban planning. The resultant self-regulatory system with flexible input is not only a credible tool for deriving plot ratios, but also an effective platform to activate urban design creations. The system, as a socio-technical tool, enhances the essential process of urban self-organization and hetero-organization.
keywords Decision Support, software, self-organization systems, parametric systems
series ACADIA
type Short paper
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100%; open Wang, J., Y. Gao, and M. Hu. (2005) Find in CUMINCAD Optimization Of The Spatial Form For Nanjing Old Area Based On The Guidance And Management Of High-Rise Buildings , City planing review, 29(1): 45–51. Beijing: Urban Planing Society of China

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