Data-Driven Smart Community Design (häftad, eng)

This book couples data analytics with social behavioural studies and participatory design to derive deeper insights on city dwellers’ present needs and future aspirations, thereby enabling the development of targeted spatial and programmatic interventions for diverse communities.

Public housing in Singapore has been regarded internationally as a success story – and this book outlines the latest strategies and concepts for addressing the emerging social challenges of ageing population, shrinking household size, diverse demographics and widening inequality fostering resilient neighbourhoods.

Adopting an interdisciplinary approach, it:

 • Outlines an innovative data-driven planning process for housing neighbourhood and community design

 • Provides a framework for planners and designers to synthesize qualitative and quantitative data analyses

 • Presents a comprehensive set of tested urban analytics tools, digital platforms and participatory toolkits used to design and develop community initiatives.

A recommended reading for students undertaking urban planning and design, urban design, housing design, architecture, real estate, urban sociology, and community design, the book’s strategies for evidence-based neighbourhood designs will also appeal to practitioners and policy makers.