Data-Driven Smart Community Design (Paperback)

Keng Hua Chong

ISBN 10: 1032569212 / ISBN 13: 9781032569215

Published by Taylor & Francis Ltd, London, 2024

About this Item

Paperback. 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. This book outlines the latest strategies and concepts for addressing the emerging social challenges of the ageing population: shrinking household size, increasingly diverse demographics and widening inequality, and fostering inclusive and resilient neighbourhoods. Adopting an interdisciplinary approach, this book:Outlines an innovative data-driven planning process for housing neighbourhood and community designProvides a framework for planners and designers to synthesise qualitative and quantitative data analysesPresents a comprehensive set of tested urban analytics tools, digital platforms and participatory toolkits used to design and develop community initiatives.A recommended text for students undertaking urban planning, urban design, housing design, architecture, real estate, urban sociology and community design, the books strategies for evidence-based neighbourhood designs will also appeal to practitioners and policymakers.The Open Access version of this book, available at , has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781032569215

Bibliographic Details

• Title: Data-Driven Smart Community Design (Paperback)
• Publisher: Taylor & Francis Ltd, London
• Publication Date: 2024
• Language: English
• ISBN 10: 1032569212
• ISBN 13: 9781032569215
• Binding: Paperback
• Condition: new

About this title

Synopsis

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. This book outlines the latest strategies and concepts for addressing the emerging social challenges of the ageing population: shrinking household size, increasingly diverse demographics and widening inequality, and fostering inclusive and resilient neighbourhoods. Adopting an interdisciplinary approach, this book:

• Outlines an innovative data-driven planning process for housing neighbourhood and community design
• Provides a framework for planners and designers to synthesise 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 text for students undertaking urban planning, 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 policymakers.

The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.

About the Author

Keng Hua Chong is Provost of Nanyang Academy of Fine Arts at the University of the Arts Singapore. He is formerly Associate Professor of Architecture and Sustainable Design at the Singapore University of Technology and Design.