Spatial differentiation of China’s summer tourist destinations based on climatic suitability using the Universal Thermal Climate Index

Yang, Jun; Zhang, Zhenchao; Li, Xueming; Xi, Jianchao; Zhang, Feng

doi:10.1007/s00704-017-2312-5

Cited by 21 publications

(10 citation statements)

References 34 publications

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“…The UTCI should be useful in crucial applications in human bioclimatology, such as daily forecasts and extreme weather warnings, bioclimatic mapping, urban and regional planning, and also environmental epidemiology, climate therapy and climate impact studies. It is shown in the research carried out by Kunert ( 2010 ), Błażejczyk et al ( 2010 ), Novák ( 2011 ), Mateeva ( 2011 ), Kuchcik et al ( 2013 ), Okoniewska and Więcław ( 2013 ), Błażejczyk et al ( 2014a ), Lindner ( 2011 ), Lindner-Cendrowska ( 2013 ), Dobek and Krzyżewska ( 2015 ), Araźny et al ( 2016 ), Zare et al ( 2018 ) and Yang et al ( 2018 ).…”

Section: Introductionmentioning

confidence: 90%

Long-term variability of bioclimatic conditions and tourism potential for Warsaw agglomeration (Poland)

Rozbicka

Rozbicki

2020

Int J Biometeorol

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The research area includes one of the largest in terms of population and also the most attractive tourist area in Poland—Warsaw agglomeration. The aim of the study is to assess the temporal and spatial difference of the heat stress on the human body in this area based on long-term data (1980–2016). On the basis of the Universal Thermal Climate Index (UTCI) and designated Climate-Tourism-Information-Scheme (CTIS) diagrams, a comprehensive and detailed bioclimate assessment was made for three different areas. The highest values of the UTCI as well as the frequency of thermal sensations related to heat stress occurred at the Bielany station representing the city area, and the lowest at stations representing suburban area—Legionowo and outskirts—Okęcie. A negative linear trend of the number of days was observed for thermal stress related to cold stress and the category of ‘no thermal stress’ while a positive linear trend was obtained for thermal stress related to heat stress. Based on the obtained results, it can be concluded that in summer months (in June over 60%) the conditions are favourable for the residents causing the lack or slight intensification of the body’s adaptation processes and they are beneficial for practicing various forms of recreation and tourism. However, on the other hand, the rise in the number of days with the ‘strong and very strong heat stress’ especially at the station representing the city area is a disturbing factor and negatively affecting both the health and well-being of agglomeration residents in the future.

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Section: Introductionmentioning

confidence: 90%

Long-term variability of bioclimatic conditions and tourism potential for Warsaw agglomeration (Poland)

Rozbicka

Rozbicki

2020

Int J Biometeorol

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“…For instance, Chi et al [21] employed PETand UTCI to evaluate thermal comfort and its dynamics of 31 provincial capital cities of China over the past 30 years. Yang [22] analyzed the spatial differentiation of China's summer tourist destinations using the UTCI and analytic hierarchy process model from 1960 to 2014.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Over the past century, more than 100 indexes have been proposed and developed to assess climate comfortableness [14][15][16], which can be further classified into two types: "empirical index" or "rational index" [15,[17][18][19]. Accordingly, scholars evaluate the tourism climate comfortableness of tourism in different regions of China in terms of relevant indexes of climate comfortableness [20][21][22]. However, the "empirical index" and "rational index" only consider the thermal of human's body, which is insufficient for studying tourism activities.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Tourist Climate Comfortable Period of China in a Changing Climate

Guo

2020

Advances in Meteorology

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The evaluation of climate comfort for tourism can provide information for tourists selecting destinations and tourism operators. Understanding how climate conditions for tourism evolve is increasingly important for strategic tourism planning, particularly in rapidly developing tourism markets like China in a changing climate. Multidimensional climate indices are needed to evaluate climate for tourism, and previous studies in China have used the much criticized “climate index” with low resolution climate data. This study uses the Holiday Climate Index (HCI) and daily data from 775 weather stations to examine interregional differences in the tourist climate comfortable period (TCCP) across China and summarizes the spatiotemporal evolution of TCCP from 1981 to 2010 in a changing climate. Overall, most areas in China have an “excellent” climate for tourism, such that tourists may visit anytime with many choices available. The TCCP in most regions shows an increasing trend, and China benefits more from positive effects of climate change in climatic conditions for tourism, especially in spring and autumn. These results can provide some scientific evidence for understanding human settlement environmental constructions and further contribute in improving local or regional resilience responding to global climate change.

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“…To optimize regionalization and assess regional-scale variations for the UTCI, a rotated empirical orthogonal function (REOF)-cluster-empirical orthogonal function (EOF) hybrid model was established in China [19]. Yang et al [20] examined the spatial differentiation of China's summer tourist destinations based on the UTCI and tourism resources data and analyzed climatic suitability. Roshan [21] also presented a spatiotemporal analysis of bioclimatic comfort conditions for Iran and demonstrated that there is, at any point in time, a location with climatic conditions suitable for tourism.…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Pattern Changes of UTCI in the China-Pakistan Economic Corridor in Recent 40 Years

Zeng

et al. 2020

Atmosphere

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This paper investigated the spatial and temporal variations of the Universal Thermal Climate Index (UTCI) of the China-Pakistan Economic Corridor (CPEC) from 1979 to 2018. The European Centre for Medium-Range Weather Forecasts Re-Analysis-Interim (ERA-Interim) reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF) is selected for UTCI calculation in the region and analyzed by a linear trend and correlation analysis. The results showed that (1) the UTCI of CPEC is decreased with the increase of latitude and altitude. There is obvious spatial heterogeneity in the seasonal scale and the spatial distribution of different thermal stress categories. (2) UTCI generally exhibited a positive trend of 0.33 °C/10a over the past 40 years, and the seasonal variation characteristics of UTCI show an upward trend in all four seasons, of which spring is the fastest. On the space scale, the growth trend has significant spatial variations. (3) Temperature has a positive correlation with UTCI. The influence of temperature on UTCI is greater than that of wind speed. The results of this study will be helpful for regional planning and also contribute to comprehending the characteristics of the thermal environment in CPEC.

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Spatial differentiation of China’s summer tourist destinations based on climatic suitability using the Universal Thermal Climate Index

Cited by 21 publications

References 34 publications

Long-term variability of bioclimatic conditions and tourism potential for Warsaw agglomeration (Poland)

Long-term variability of bioclimatic conditions and tourism potential for Warsaw agglomeration (Poland)

Evaluating the Tourist Climate Comfortable Period of China in a Changing Climate

Spatial-Temporal Pattern Changes of UTCI in the China-Pakistan Economic Corridor in Recent 40 Years

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