DOI: 10.5353/th_b5736676
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Measuring environmental quality of life : a GIS approach to deriving objective measures using Hong Kong as a case study

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Cited by 4 publications
(4 citation statements)
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“…A radar chart is also known as a spider chart. The number of vertices along the outer edge of a radar chart can vary according to the number of observed cases or members [ 60 ]. Each axis is independently scaled to be between 0 and 100 by normalizing data on the basis of its biggest value.…”
Section: Methodsmentioning
confidence: 99%
“…A radar chart is also known as a spider chart. The number of vertices along the outer edge of a radar chart can vary according to the number of observed cases or members [ 60 ]. Each axis is independently scaled to be between 0 and 100 by normalizing data on the basis of its biggest value.…”
Section: Methodsmentioning
confidence: 99%
“…(6) It is suggested that this research be done with other methods such as ANP, BWM, MACBETH (measuring attractiveness by a categorical-based evaluation technique), and PROMETHEE, and the result be compared with the current research methods. (7) In future research, Gray or Fuzzy can be used to reduce the input uncertainty of multi-criteria decision-making methods. ( 8) Sensitivity analysis can be applied to explore its impact of the parameter changes on the results.…”
Section: Conclusion and Suggestionsmentioning
confidence: 99%
“…They used qualitative analysis methods and integrated the scales. Chen et al [7] conducted a study to measure the environmental quality of life using environmental criteria such as educational, health, and recreational facilities, local street networks, compatibility of land use, and building footprint intensity. In their research, they used the principal component analysis (PCA) method.…”
Section: Introductionmentioning
confidence: 99%
“…The Hong Kong QOUL project commenced in 2014 in two phases. Phase 1 focused on the development of a set of indicators measuring objective QOUL derived through secondary data analysis using data compiled for residential neighbourhoods across Hong Kong and using data from the census along with GIS-based environmental and urban facilities data (Chen, 2015).…”
Section: The Hong Kong Qoul Surveymentioning
confidence: 99%