
Chenyi CaiFuture Cities Lab - ETH Zurich
Chenyi Cai
Doctor of Philosophy
About
11
Publications
7,388
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25
Citations
Introduction
Generative Design; Urban Modelling; Machine Learning; Human-Machine Interactive Design; Big Data
Publications
Publications (11)
Cities are considered complex and open environments with multidimensional aspects that influence each other in irreducible and unpredictable ways. The urban design process highly relies on individual understanding and implicit knowledge that is case-based and experience-based. Linking city science and urban design is significant for progressing bot...
Cities are considered complex and open environments with multidimensional aspects including urban forms, urban imagery, and urban energy performance. So, a platform that supports the dialogue between the user and the machine is crucial in urban computational modeling (UCM). In this paper, we present a novel urban computational modeling framework, w...
The study of urban morphology contributes to the evolution of cities and sustainable development. Urban morphological feature extraction and similarity analysis represents a practical framework in many studies to interpret and introduce the current built environment to aid in proposing novel designs. In conventional methods, morphological features...
The use of architectural morphological analysis and generative design is an important strategy to interpret current designs and to propose novel ones. Conventional morphological features are defined based on qualitative descriptions or manually selected indicators, which include subjective bias, thus limiting generalizability. The lack of public ar...
This study explores the potential of neural networks to efficiently parse morphological features based on the feature-mapping encoding methods adaptive to neural networks, this paper explores the highly effective morphological analyses and methodologies of supportive decision making of neural networks, with a focus on the classification of architec...
This study presents an approach for the intelligent generation of architectural layout, in which partial space inherits Chinese garden spatial features. The approach combines spatial prototype analysis and evolutionary optimization process. On one hand, from the perspective of shape grammar, this paper both analyzes and abstracts the spatial protot...