Multi‐Method Integrated Approach to Assess Human Climate Comfort in Iran

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Analysis reveals spatial variations in thermal comfort across Iran, suggesting implications for urban planning and public health.

Significant spatial variations in climate sensitivity were uncovered across Iran, indicating diverse comfort levels influenced by local climate.
Weighted indices like predicted mean vote (PMV) improved the precision of comfort assessments by linking climate to human response.
Multivariate regression and principal component analysis were employed to quantify the impact of climatic factors on thermal comfort.
Insights from this analysis call for adaptive measures in urban planning and public health policies to address climate change impacts.

Majid Javari (2025) studied this question.

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