AUTHOR=Liu Qun , Lin Lan , Deng Haijun , Zheng Yingling , Hu Zengyun 

TITLE=The index of clothing for assessing tourism climate comfort: Development and application

JOURNAL=Frontiers in Environmental Science

VOLUME=10

YEAR=2023

URL=https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2022.992503

DOI=10.3389/fenvs.2022.992503

ISSN=2296-665X

ABSTRACT=<p>Climate comfort is a significant factor in analyzing the effects of climate change on tourism, and considerable research has used multidimensional climate indices to evaluate climate comfort. In particular, the index of clothing (ICL) is recognized as one of the most popular climate indices and has been widely applied in many studies. While few studies focused on the calculation method of the index of clothing model’s surface solar radiation (<italic>R</italic><sub><italic>act</italic></sub>), the computed value was greater than that observed at ground stations. Thus, this study tried to improve solar radiation energy calculation on the Earth’s surface in the index of clothing model with the method recommended by the International Food and Agriculture Organization (FAO), and then validated the new model based on the meteorological data of 31 provincial capitals in mainland China during 1980–2019. Results showed that: 1) The value of <italic>R</italic><sub><italic>act</italic></sub> calculated by the International Food and Agriculture Organization (FAO) method was close to the site observations (<italic>P</italic><sub><italic>bais</italic></sub> &lt; 15%), and was suggested to be used in enhancing the estimate approach for <italic>R</italic><sub><italic>act</italic></sub> in the index of clothing; 2) Different from the original index of clothing, <italic>ICL-new</italic> is significantly more effective in evaluating climate comfort in middle and low latitude regions; 3) Climate change had a considerable influence on the climate comfort of cities in mainland China. Since 1980, the climate comfort of cities in eastern China had increased in spring, while that of cities in western China had declined, and most cities had a decreasing trend in summer. Finally, our findings revealed that <italic>ICL-new</italic> can realistically and precisely depicts the actual scenario than the original index of clothing, and it is more suitable to provide scientific impact assessment and tourism management for government agencies and destination management.</p>