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Psychosocial Well-Being Determinants and Occupants’ Happiness in a Green Neighbourhood/Community

Author(s):

Medium: journal article
Language(s): English
Published in: Frontiers in Built Environment, , v. 8
DOI: 10.3389/fbuil.2022.816390
Abstract:

Psychosocial well-being and happiness are better in green neighbourhoods due to access to nature and green spaces. Hence, this study focusses on investigating how psychosocial well-being determinants (PWDs) affect occupants’ happiness in a green residential community. This article identifies the psychosocial-well-being domain, ascertains PWDs in the green neighbourhood, and analyses the effects of these PWDs on occupants’-happiness. The research method includes a qualitative and systematic subjective approach. Data were collected using triangulation—deductive extractions from literature to familiarize authors with the phenomenon under investigation, interview guides and focused group discussion on expert opinions, and observation guide to elicit information on the identified PWDs in a green community. The researchers had interactions with fifty (50) professionals, architects, builders, material engineers, service engineers, estate surveyors, urban and regional planners, property developers, medical doctors, psychologists, environmentalists, biologists, chemists, art historians, environmental health practitioners, and occupants. From the interviews, discussion, and deduction, psychosocial well-being determinants in a green neighbourhood include personal happiness and demography, lifestyle, community structure, local economy, activities, the built environment, natural environment, and global ecosystem. The data result suggested that other environmental factors influenced PWDs. Consequently, PWDs in the community affect occupants’ well-being and happiness in a green home/neighbourhood or community.

Copyright: © 2022 Eghosa Noel Ekhaese, Waqar Sukoon Hussain
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10690329
  • Published on:
    13/08/2022
  • Last updated on:
    10/11/2022
 
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