Algorithms-Aided Sustainable Urban Design

Author:

Lima Fernando T.1,Kós José Ripper2,Paraizo Rodrigo Cury2

Affiliation:

1. Universidade Federal de Juiz de Fora, Brazil

2. Universidade Federal do Rio de Janeiro, Brazil

Abstract

This chapter is part of a research on algorithmic approaches to sustainable urban design. It focuses on the use of computational tools to provide quick and dynamic assessment while planning and discussing interventions in urban areas. The objective is to address the use of algorithmic systems to formulate effective strategies for sustainable urban projects, guided by Transit Oriented Development (TOD) principles. TOD is an urban development model that considers geometric principles and measurable parameters for designing sustainable cities. It advocates the creation of mixed-use neighborhoods within walking distance to a variety of transportation options and amenities, so that basic urban needs are easily accessible. In addition to establish a theoretical framework connecting algorithmic-parametric concepts and geometrical features of TOD, this chapter describes an experimental employment of algorithmic models working on TOD principles, in order to enhance a systematic and dynamic testing and subsequent argumentation for sustainable urban projects.

Publisher

IGI Global

Reference27 articles.

1. The new transit town: Great places and great nodes that works for everyone;S.Bernstein;The new transit town: Best practices in transit-oriented development,2004

2. Celani, G. (2011). Algorithmic Sustainable Design. Uma visão crítica do projeto generativo. Retrieved June 16, 2015, from http://www.vitruvius.com.br/revistas/read/drops/10.030/2109

3. An introduction to transit-oriented development;H.Dittmar;The new transit town: Best practices in transit-oriented development,2004

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1. Multi-Objective Optimisation of Urban Design Using a Genetic Algorithm;2022 International Conference Automatics and Informatics (ICAI);2022-10-06

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