COMMENCED
1 November 2019
STATUS
Completed
PARTNERS AND SPONSORS
Changi General Hospital, Singhealth, Tampines Town Council

PI: Dr Belinda Yuen (LKYCIC, SUTD)
Co-I: A/P Sam Conrad Joyce (ASD, SUTD), A/P Cheung Ngai-Man (ISTD, SUTD), Dr Joshua Comaroff (Yale-NUS)
Team: Ms Anna Valeria Dietrich, Ms Kelly Lim Xin Hui, Ms Wang Jiaxuan (LKYCIC, SUTD), Mr Nazim Ibrahim (ASD, SUTD)

Physical activity such as walking provides an important nexus through which the built environment can affect health including chronic disease prevention and management, particularly in older adulthood. This component project of the SUTD Healthcare Wellness, Independence and Empowerment Research Programme seeks to understand health-optimized social-urban interaction via AI. Applying the built environment-health lens, we aim to combine the state-of-the-art urban planning approaches with advanced AI and Machine Learning techniques to study how the physical activity of walking can improve health and what kind of built environment can support the walking needs of both individual and community to promote more active, healthy lifestyles.

COMMENCED
1 November 2019
STATUS
Completed
PARTNERS AND SPONSORS
Changi General Hospital, Singhealth, Tampines Town Council

Publications and Presentations

  • Bhuyan, Md Rashed., Yuen, Belinda., & Ho, Darren. (2023). Contested Active Mobility Infrastructure: Diversity of Uses and Experiences of Walkable Neighbourhoods in Singapore. In P R Messinger and K Habib (Ed) Reimagining Architecture and Urbanism in the Post-Pandemic World. Ethics Press.
  • Joyce, Sam., Ibrahim, Nazim., & Meriky Lo, Alexandar. (2023, Oct). Understanding active mobility using computer vision and data visualisation, Urban Solutions and Sustainability R&D Congress 2023, organised by Ministry of National Development.
  • Joyce, Sam. (2022, Apr).  The healthy life of small urban spaces- Exploring William Whyte in the age of AI, Singapore Population Health Symposium
  • Joyce, Sam., Ibrahim, Nazim. (2021, Sept). Limits to applied ML in planning and architecture : Understanding and defining extents and capabilities. Paper presented at the 39th Conference of the eCAADe – Education and Research in Computer Aided Architectural Design in Europe, University of Novi Sad, Novi Sad, Serbia.
  • Joyce, Sam. (2021).  AI as a collaborator in the early stage of the design. in  Imdat As and Prithwish Basu (Eds.) The Routledge Companion to Artificial Intelligence in Architecture, London: Routledge