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Full Description
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.
Contents
Introduction; PART I Enquiring Diversity 1 Innovative Demographic Segmentation in Singapore: A Multi‑variable Approach for Policy and Community Planning; 2 Neighbourhood Quality of Life and Place; PART II Envisioning Opportunities 3 Data Analytics for Community and Planning; 4 Urban Mobility and Neighbourhood Activity Analyses Using Data from Smart Mobile Devices; 5 Large‑Scale Human Mobility Tracking in Residential Estates; 6 Social Network Analysis as a Data‑Light Method for Identifying Places of Social Interaction; 7 Predictive Analysis with Virtual Population; PART III Enabling Inclusivity 8 Community Enablement Playbook; 9 Bridging Physical and Virtual Community through O2O Approach; 10 Application of Smart Community Design
