| id |
caadria2023_179 |
| authors |
Zu, Xiaoyi, Gao, Chen and Li, Zhixian |
| year |
2023 |
| title |
Interpreting Gender Differentiation in Urban Consumption Places Based on the Preference Level of Spatial Perception |
| doi |
https://doi.org/10.52842/conf.caadria.2023.1.737
|
| source |
Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 737–746 |
| summary |
Taking Street view map and Random forest model as the applications and four consumption places in Beijing as case studies, this study proposes a method that maps spatial perception preferences at the local scale to the global scale by following steps: Firstly, download street view images of consumption places from BaiduMap API, then combined the preference of the local street view images scores by the volunteers of both genders and the proportion of visual elements in the images, predicted the preference level of case areas at the global scale by the Random forest model, and finally, through FCN model and sDNA model, fully revealed the gender differentiation phenomenon of consumption places at the image, function and location contents. The results indicate that both genders have a preference for places of Catering function. Besides, females generally prefer consumption places with more conspicuous signboards, greening and better spatial design quality, and have clear pre-determined consumption targets; males generally prefer consumption places with more conspicuous columns, smaller signboards, and have less demand for the spatial design quality of consumption places. |
| keywords |
Random Forest Model, FCN Model, Built Environment, Consumption Places, SDNA Model |
| series |
CAADRIA |
| email |
chen.gao@leibniz-irs.de |
| full text |
 file.pdf (2,081,086 bytes) |
| references |
Content-type: text/plain
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| last changed |
2023/06/15 23:14 |
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