Urban space safety Machine learning Heterogeneous perception Built environment In the last decade, large street imagery data sets and machine learning developments have allowed increasing scalability of methodologies to ...

Concern around personal safety is a significant factor in constraining women’s access to and use of public space. One strategy presented to address this involves altering the design of built environments. However, tension ...

Identifying and understanding predictors of school safety perceptions is important due to its consequences for students. However, it is not clear what school-related factors most contribute to explaining students' perception ...

"Currently, one important field on machine learning is Urban Perception Computing is to model the way in which humans can interact and understand the environment that surrounds them. This process is performed using ...

The patient safety as a fundamental dimension for health quality is focused on improvement provides care in the prevention of errors, in learning from them and in the involvement of all health professionals. It is more ...