CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id ecaade2013_207
id ecaade2013_207
authors Bielik, Martin; Schneider, Sven; Geddert, Florian and Donath, Dirk
year 2013
title Addis Building Configurator
source Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 1, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 109-116
wos WOS:000340635300010
summary The paper presents ongoing applied research on the development of a computational design tool addressing planning deficiencies in the city of Addis Ababa, Ethiopia. Because of increasing population pressure and a lack of planning resources, Addis Ababa is clearly in need of new efficient planning solutions. The tool proposed utilizes and combines different generative design methods in order to increase the efficiency of planning and construction processes. The paper discusses design goals and the implementation strategy involved.
keywords Design tool; evolutionary optimization; generative system; developing countries.
series eCAADe
email martin.bielik@uni-weimar.de
last changed 2016/05/16 09:08

_id caadria2016_023
id caadria2016_023
authors Park, Hyoung-June and Bewketu Kassa
year 2016
title A Tale of Two Cities: A Cost-driven Design Optimisation in Addis Ababa & Honolulu
source Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 23-32
summary A cost-driven design optimisation is introduced through two case studies: 1) a design prototype of a large scale housing com- munity for social mix of its tenants in Addis Ababa, Ethiopia, and 2) the one of a luxurious high-rise condominium with maintaining a de- cent level of its maintenance fee in Honolulu, Hawaii, USA. For both cases, the computation of the optimisation was performed with re- gards to targeted financial concerns which are as following: 1) mar- keting value, construction cost, and government subsidy (incentives) for the case in Addis Ababa and 2) maintenance fee and construction cost for the case in Honolulu. Design factors are employed as a guide for computational outcomes in the optimisation of both architectural problems. The computational outcomes become the basis for project- ing three-dimensional forms as design alternatives. Its application process is delineated within the integrated environment of parametric modelling applications.
keywords Optimisation; financial model; social mix; design feasibility; parametric modelling
series CAADRIA
email hjpark@hawaii.edu
last changed 2016/03/11 09:21

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