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Tourism climate information based on human thermal perception in Taiwan and Eastern China

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  • Lin, Tzu-Ping
  • Matzarakis, Andreas

Abstract

Human thermal perceptions are closely related to success in the tourism sector. However, a single climatic parameter or thermal index based on empirical equations cannot fully assess the thermal conditions at tourist destinations. While examining Taiwan and Eastern China, this study attempts to determine tourist thermal perceptions based on physiologically equivalent temperature (PET) and thermal comfort classifications (TPCs) for temperate and (sub)tropical regions. Seasonal distribution maps of PET indicate that Taiwan and Eastern China are perceived as comfortable during spring and autumn for those residing in temperate regions, while only the southern region during spring and the northern region during summer are perceived as comfortable for those residing in (sub)tropical regions. Furthermore, the annual thermal comfort distribution (ATCD) is determined to identify comfortable months for 20 tourist destinations. The PET frequencies, which are calculated using hourly climate data, describe climate variability and change. This climate information will prove useful to tourism authorities, travel agencies, resorts and tourists.

Suggested Citation

  • Lin, Tzu-Ping & Matzarakis, Andreas, 2011. "Tourism climate information based on human thermal perception in Taiwan and Eastern China," Tourism Management, Elsevier, vol. 32(3), pages 492-500.
    • Handle: RePEc:eee:touman:v:32:y:2011:i:3:p:492-500
    DOI: 10.1016/j.tourman.2010.03.017
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    References listed on IDEAS

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    1. Andrea Bigano & Jacqueline M. Hamilton & Richard S.J. Tol, 2004. "The Impact Of Climate On Holiday Destination Choice," Working Papers FNU-55, Research unit Sustainability and Global Change, Hamburg University, revised Oct 2004.
    2. Jacqueline M. Hamilton, 2002. "Climate and the Destination Choice of German Tourists," Working Papers FNU-15, Research unit Sustainability and Global Change, Hamburg University, revised Aug 2003.
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    Cited by:

    1. Lei Zhang & Xuan Ma & Jingyuan Zhao & Mengying Wang, 2019. "Tourists’ Thermal Experience and Health in a Commercial Pedestrianized Block: A Case Study in a Hot and Humid Region of Southern China," IJERPH, MDPI, vol. 16(24), pages 1-15, December.
    2. Walsh, Angélica & Cóstola, Daniel & Labaki, Lucila Chebel, 2018. "Performance-based validation of climatic zoning for building energy efficiency applications," Applied Energy, Elsevier, vol. 212(C), pages 416-427.
    3. Ming Yin & Feiya Lu & Xingxuan Zhuo & Wangzi Yao & Jialong Liu & Jijiao Jiang, 2024. "Prediction of daily tourism volume based on maximum correlation minimum redundancy feature selection and long short‐term memory network," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 344-365, March.
    4. Dadang Hartabela & Bart Julien Dewancker & Mochamad Donny Koerniawan, 2021. "A Relationship between Micro-Meteorological and Personal Variables of Outdoor Thermal Comfort: A Case Study in Kitakyushu, Japan," Sustainability, MDPI, vol. 13(24), pages 1-27, December.
    5. Rosselló-Nadal, Jaume, 2014. "How to evaluate the effects of climate change on tourism," Tourism Management, Elsevier, vol. 42(C), pages 334-340.

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