Urban Design Optimization

Design approaches that include generative and parametric features increase designers’ ability to explore larger sets of potential solutions. Computational optimization (CO) is being increasingly adopted to solve complex design problems, from energy consumption to structural performance.The use of CO techniques at the urban design (UD) scale, however, has been limited compared to architecture due to increased complexity and computation requirements. The work described in this poster is part of larger research that hypothesizes that CO can be useful in UD, particularly when associated with generative design systems and evaluation metrics. It consists of an experiment that involves the formulation, evaluation, and optimization of urban fabric configurations according to pre-defined evaluation metrics.


  • Urban Lima.pdf

    size: 8.78 MB | mime_type: application/pdf | date: 2022-02-23 | sha256: bb983bf


Work Title Urban Design Optimization
Subtitle A generative approach towards urban fabrics with improved walkability
Open Access
  1. Fernando Lima
  2. Nathan Brown
  3. Jose M Pinto Duarte
  1. Urban design
  2. Transit-oriented development
  3. Computational design
  4. Generative design
License CC BY-NC 4.0 (Attribution-NonCommercial)
Work Type Poster
Publication Date September 23, 2021
  1. Fall 2021 Stuckeman Research Open House
Deposited February 23, 2022




Work History

Version 1

  • Created
  • Added Creator Fernando Lima
  • Added Creator Nathan Brown
  • Added Creator Jose M Pinto Duarte
  • Added Urban Lima.pdf
  • Updated License Show Changes
    • https://creativecommons.org/licenses/by-nc/4.0/
  • Published
  • Updated