IN-PERSON Barcelona. Section B

Abstract

This paper explores the quality of urban streets as public spaces in high-density areas to support Sustainable Development Goals (SDGs), particularly aiming at sustainable cities and communities (Goal 11), gender equality (Goal 5), and reducing inequalities (Goal 10). Previous studies usually focused on Western, overlooking the unique contexts of high-density subtropical regions. This project employs image semantic segmentation technology to objectively quantify the built environment quality of central in the old urban fabric of Hong Kong, assessing aspects like safety, convenience, and aesthetics. Additionally, the study integrates subjective feedback from female volunteers through street surveys. By combining these approaches, the research evaluates the street’s functionality as a public space, reveals gender-specific needs within the community, and fosters inclusive urban planning and design. This contributes insights towards more inclusive and sustainable community development.