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City form and well-being: what makes London neighborhoods good places to live?

Published: 31 October 2016 Publication History

Abstract

What is the relationship between urban form and citizens' well-being? In this paper, we propose a quantitative approach to help answer this question, inspired by theories developed within the fields of architecture and population health. The method extracts a rich set of metrics of urban form and well-being from openly accessible datasets. Using linear regression analysis, we identify a model which can explain 30% of the variance of well-being when applied to Greater London, UK. Outcomes of this research can inform the discussion on how to design cities which foster the well-being of their residents.

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Cited By

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  • (2023)Exploring the Form of a Smart City District: A Morphometric Comparison with Examples of Previous Design ModelsLand10.3390/land1212215912:12(2159)Online publication date: 13-Dec-2023
  • (2023)Is social capital higher in areas with a higher density of historic assets? Analyses of 11,112 adults living in EnglandPerspectives in Public Health10.1177/17579139221145609(175791392211456)Online publication date: 12-Feb-2023
  • (2023)How does heritage contribute to inclusive growth?Journal of Cultural Heritage Management and Sustainable Development10.1108/JCHMSD-03-2022-0050Online publication date: 14-Nov-2023
  • Show More Cited By

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    cover image ACM Other conferences
    SIGSPACIAL '16: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
    October 2016
    649 pages
    ISBN:9781450345897
    DOI:10.1145/2996913
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 31 October 2016

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    Author Tags

    1. open data
    2. quantitative analysis
    3. urban form
    4. well-being

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    SIGSPACIAL '16 Paper Acceptance Rate 40 of 216 submissions, 19%;
    Overall Acceptance Rate 220 of 1,116 submissions, 20%

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    Cited By

    View all
    • (2023)Exploring the Form of a Smart City District: A Morphometric Comparison with Examples of Previous Design ModelsLand10.3390/land1212215912:12(2159)Online publication date: 13-Dec-2023
    • (2023)Is social capital higher in areas with a higher density of historic assets? Analyses of 11,112 adults living in EnglandPerspectives in Public Health10.1177/17579139221145609(175791392211456)Online publication date: 12-Feb-2023
    • (2023)How does heritage contribute to inclusive growth?Journal of Cultural Heritage Management and Sustainable Development10.1108/JCHMSD-03-2022-0050Online publication date: 14-Nov-2023
    • (2023)Building rehabilitation, sustainable development, and rural settlements: a contribution to the state of the artEnvironment, Development and Sustainability10.1007/s10668-023-03664-526:10(24937-24956)Online publication date: 29-Jul-2023
    • (2022)Urban form and COVID-19 cases and deaths in Greater London: An urban morphometric approachEnvironment and Planning B: Urban Analytics and City Science10.1177/2399808322113339750:5(1228-1243)Online publication date: 14-Oct-2022
    • (2019)SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social MediaData Mining10.1007/978-981-15-1699-3_5(54-63)Online publication date: 23-Nov-2019

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