| Id | 2728 | |
| Author | Zhang S.; Wilson L. | |
| Title | Computational urban design: Methods and case studies | |
| Reference | Zhang S.; Wilson L. Computational urban design: Methods and case studies,Machine Learning and the City: Applications in Architecture and Urban Design |
|
| Keywords | ||
| Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147936165&partnerID=40&md5=91bf34c2ba242ae0c55e2465cf829a06 |
|
| Abstract | This chapter provides a detailed exposition of the approaches to computational urban design while situating it against similar prevailing methods. Through concrete case studies developed in design, engagement, and speculative contexts, it lends a practical focus to computational design and illustrates both its current potentials and future promises with the aid of artificial intelligence and machine learning. The chapter outlines a step-by-step process for how to generate a computation model. It is worth noting that the process for constructing a thoughtful computational design model is slightly different from the order of its operations. The chapter focuses on a few case studies that highlight the range of possibilities and complexities that arise in computational design. The case studies demonstrate a variety of applications of computational design, from exploring expansive sets of options to enabling citizens in voicing their needs. © 2022 John Wiley & Sons, Inc. All rights reserved. |
|
| Metodology | Technique |
Find research methods used
Show Candidate Transition Variables for article (AI method)
Find category for article (AI method)
Find social impact for article (AI method)
Show WordCloud from article (AI method)
Find semantically similar articles (Semantic search)
