| Id : | 2728 | |
Author : | Zhang S.; Wilson L. | |
Title | Computational urban design: Methods and case studies |
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| Reference : | Zhang S.; Wilson L. Computational urban design: Methods and case studies,Machine Learning and the City: Applications in Architecture and Urban Design |
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| Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147936165&partnerID=40&md5=91bf34c2ba242ae0c55e2465cf829a06 |
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| 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. |
Results:
| Impact |
Certainity |
| Health and Wellbeing | 0.0153 |
| Urban and Territorial Renovation | 0.0415 |
| Peoples Engagement and Participation | 0.9470 |
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