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Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers
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An evaluation approach for livable urban environments.

Chia-Ling Chiang1, Jeng-Jong Liang

  • 1Department of Environmental Engineering and Science, Feng Chia University, Taichung, Taiwan.

Environmental Science and Pollution Research International
|February 2, 2013
PubMed
Summary

This study introduces a method to assess urban livability using public opinion and data analysis. Air pollution significantly impacts living conditions, guiding urban improvement policies.

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Area of Science:

  • Environmental Science
  • Urban Planning
  • Data Analysis

Background:

  • Evaluating urban livability is crucial for public health and policy development.
  • Existing methods may not fully integrate public perception with objective environmental data.
  • Quantifying the impact of various factors on urban living conditions requires robust analytical frameworks.

Purpose of the Study:

  • To develop and validate a comprehensive method for assessing urban livability.
  • To determine the relative importance of weather, air pollution, and environmental factors on living conditions.
  • To provide a quantifiable index for urban environments to inform policy and resource allocation.

Main Methods:

  • Utilized the analytic hierarchy process (AHP) for factor weighting.
  • Conducted a public opinion survey (n=1,075) to gather perceptual data.
  • Applied gray relational analysis (GRA) with a pollutant standards index (PSI) for quantitative assessment.

Main Results:

  • Air pollution emerged as the most significant factor influencing urban livability (weight: 0.395).
  • Weather and environmental aspects had weights of 0.288 and 0.317, respectively.
  • Calculated monthly livable indices for urban districts in Taiwan ranged from 81.1 to 92.4.

Conclusions:

  • The proposed AHP and GRA method effectively quantifies urban living conditions.
  • Environmental aspects play a key role in determining overall urban livability.
  • The findings support evidence-based policy-making for improving urban environments and allocating construction funds.