摘要:As current society’s reflection on the rapid development of motorization and increasing emphasis on the ecological environment, the study of walkable cities has become one of the key points of urban sustainable design. Creating a walkable city is an effective way to build a low-carbon and healthy city. With the development of cities, walkability concepts and theories are constantly being given new life, and research methods and design strategies continue to be updated. A city’s walkability and walkability index have become current research hotspots. Based on prior research on walkability and related urban policies, this study selects Coomera Town on the Gold Coast of Queensland, Australia, as the research area because of Coomera Town policy regulations and environmental requirements. This study utilizes traditional qualitative and quantitative research methods, machine mining technology, and the deep learning big data analysis technology to conduct thematic design research in a real place. Its combines walkability evaluation with walkability design to construct a walkable city in a targeted manner. This provides a reference for related city design in the future.