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A Spatial Livability Index for dense urban centers

Author

Listed:
  • Francisco Benita

    (233793Singapore University of Technology and Design, Singapore)

  • Vyacheslav Kalashnikov

    (27746Instituto Tecnologico y de Estudios Superiores de Monterrey, Mexico)

  • Bige Tunçer

Abstract

This article introduces a Spatial Livability Index based on geographically weighted principal component analysis. We study the case of 203 subzones in Singapore which are dense geographic boundaries in terms of population and built-up area. These regions share spatial correlations of objective measures of livability such as open spaces or community facilities. The proposed objective indicator captures the “hidden†patterns of livability provided by neighboring locations. Moreover, the results allow to identify atypical areas, that is geographical units that score very good/bad under the spatial approach but very bad/good under the non-spatial framework of livability.

Suggested Citation

  • Francisco Benita & Vyacheslav Kalashnikov & Bige Tunçer, 2021. "A Spatial Livability Index for dense urban centers," Environment and Planning B, , vol. 48(7), pages 2006-2022, September.
    • Handle: RePEc:sae:envirb:v:48:y:2021:i:7:p:2006-2022
    DOI: 10.1177/2399808320960151
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    References listed on IDEAS

    as
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    6. Gollini, Isabella & Lu, Binbin & Charlton, Martin & Brunsdon, Christopher & Harris, Paul, 2015. "GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i17).
    7. Benjamin Saitluanga, 2014. "Spatial Pattern of Urban Livability in Himalayan Region: A Case of Aizawl City, India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(2), pages 541-559, June.
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