Abstract
In this study, we proposed a new analysis method of cognition preferences for urban landscapes based on machine learning algorithms and SNS data. Benefiting from the high performance of machine learning algorithms and the diversity of SNS data, this new framework can not only accurately estimate urban residents' subjective evaluation of urban landscapes but also quantitatively compare the cognition preferences of residents with different characteristics.
Original language | English |
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Pages (from-to) | 929-934 |
Number of pages | 6 |
Journal | AIJ Journal of Technology and Design |
Volume | 28 |
Issue number | 69 |
DOIs | |
Publication status | Published - Jun 20 2022 |
All Science Journal Classification (ASJC) codes
- Architecture
- Building and Construction