The purpose of this workshop is to allow us to further consider and design how the relevant content of the thesis is actually applied to the planning and design of the city based on our ongoing personal thesis project.

My thesis project is based on the semantic segmentation of street view images, so as to understand the urban environment and analyze the type of urban environment. According to different urban environment typology, the urban environment-sentiment analysis is conducted to further understand the relationship between urban environment and residents.



The tool is based on the above content, through the semantic segmentation of the designed 3D model street view rendering image, to find a similar real street view. In order to understand the relationship between design and real environment.


After retrieving similar real street views, learn more about the real physical environment, social, and economic information nearby to support the design.


HEALING CITY – URBAN DESIGN RECOMMENDATION TOOL is a project of IaaC, Institute for Advanced Architecture of Catalonia
developed at Master in City & Technology 02 in (2019/2020) by:
Students: Luyang Zhang
Faculties:Eduardo Rico