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

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Abstract

As a result of global warming and the gradual exacerbation of the urban heat island effect, vacationing in the summer to escape the heat has become a compelling tourism demand. This study examines the spatial differentiation of China’s summer tourist destinations based on meteorological observations and tourism resources data from 1960 to 2014. The Universal Thermal Climate Index and analytic hierarchy process model were used to analyze climatic suitability. The findings are as follows. First, the spatial distribution of China’s summer tourism resources exhibits a double-peak characteristic, with concentrations in the mid- and high-latitude and high-altitude regions. Second, the most influential destinations in China based on the composite index were Guiyang, Qingdao, Harbin, and Dalian. These findings can helpful for people who are planning their summer vacations, as well as tourism managers who benefit from such increases in the number of tourists.

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References

  • Alkahtani SJH, Xia J, Veenendaaland B, Caulfield C, Hughes M (2015) Building a conceptual framework for determining individual differences of accessibility to tourist attractions. Tour Manag Perspect 16:28–42

    Article  Google Scholar 

  • Beritelli P, Bieger T, Laesser C (2007) Destination governance: using corporate governance theories as a foundation for effective destination management. J Travel Res 46(1):96–107

    Article  Google Scholar 

  • Błażejczyk K (2014) BioKlima—universal tool for bio-climatic thermophysiological studies. Institute of Geography and Spatial Organization, Polish Academy of Sciences, Warsaw. http://www.igipz.pan.pl/Bioklima-zgik.html. Accessed 15 Apr 2014

  • Blazejczyk K, Broede P, Fiala D, Havenith G, Holmer I, Jendritzky G, Kunert BKA (2009) Nowy wskaznik oceny warunkow klimatoterapii uzdrowiskowej (UTCI) [new index to evaluate climate for climatotherapy (UTCI)] medi press 118(4):313–321

  • Blazejczyk K, Epstein Y, Jendritzky G, Staiger H, Tinz B (2011) Comparison of UTCI to selected thermal indices. Int J Biometeorol 56(3):515–535

    Article  Google Scholar 

  • Bröde P, Fiala D, Błażejczyk K, Holmér I, Jendritzky G, Kampmann B, Tinz B, Havenith G (2012) Deriving the operational procedure for the Universal Thermal Climate Index (UTCI). Int J Biometeorol 56(3):481–494

    Article  Google Scholar 

  • Bröde P, Błazejczyk K, Fiala D, Havenith G, Holmér I, Jendritzky G, Kuklane K, Kampmann B (2013) The universal thermal climate index UTCI compared to ergonomics standards for assessing the thermal environment. Ind Health 51(1):16–24

    Article  Google Scholar 

  • Broede P, Jendritzky G, Fiala D, Havenith G (2010) The universal thermal climate index UTCI in operational use. Network for Comfort & Energy Use in Buildings

  • Cao H, He Y, Li Z, Wang S, Wang C, Chang L (2012) A correlation analysis between climate comfort degree and monthly variation of tourists in Lijiang. Sci Geogr Sin 12(32):1459–1464

    Google Scholar 

  • Chen J (2013) Study on establishment of evaluation index system for reliability of tourism supply chain operational mode. Logist Technol 1827(2):161–175

    Google Scholar 

  • Chen C, Chen SH, Lee HT (2011) The destination competitiveness of Kinmen’s tourism industry: exploring the interrelationships between tourist perceptions, service performance, customer satisfaction and sustainable tourism. J Sustain Tour 19(2):247–264

    Article  Google Scholar 

  • Cohen P, Potchter O, Matzarakis A (2013) Human thermal perception of Coastal Mediterranean outdoor urban environments. Appl Geogr 37(1913):1–10

    Article  Google Scholar 

  • Croes R (2011) Measuring and explaining competitiveness in the context of small island destinations. J Travel Res 49(4):431–442

    Article  Google Scholar 

  • Duc Pham T, Simmons DG, Spurr R (2010) Climate change-induced economic impacts on tourism destinations: the case of Australia. J Sustain Tour 18(3):449–473

    Article  Google Scholar 

  • Enright MJ, Newton J (2005) Determinants of tourism destination competitiveness in Asia Pacific: comprehensiveness and universality. J Travel Res 43(4):339–350

    Article  Google Scholar 

  • Essa KS, Etman SM (2004) On the relation between cloud cover amount and sunshine duration. Meteorol Atmos Phys 87(4):235–240

    Article  Google Scholar 

  • Fiala D, Havenith G, Bröde P, Kampmann B, Jendritzky G (2012) UTCI-Fiala multi-node model of human heat transfer and temperature regulation. Int J Biometeorol 56(3):429–441

    Article  Google Scholar 

  • Gagge AP (1971) An effective temperature scale based on a simple model of human physiological regulatory response. ASHRAE Trans 77(1):247–262

    Google Scholar 

  • Ge QS, Dai JH, Liu J, Zhong SY, Liu HL (2013) The effect of climate change on the fall foliage vacation in China. Tour Manag 38(38):80–84

    Article  Google Scholar 

  • Ge Q, Kong Q, Xi J, Zheng J (2017) Application of UTCI in China from tourism perspective. Theor Appl Climatol 128(3–4):551–561

    Article  Google Scholar 

  • Havenith G (1999) Heat balance when wearing protective clothing. Ann Occup Hyg 43(5):289–296

    Article  Google Scholar 

  • Havenith, G. (2009) Laboratory assessment of cold weather clothing. © Woodhead Publishing Limited, UK

    Chapter  Google Scholar 

  • Havenith G, Smith C, Fukazawa T (2008) The Skin interface–meeting point of physiology and clothing science © Textile Bioengineering and Informatics Society Ltd 1(2):93–98

  • Havenith G, Fiala D, Błazejczyk K, Richards M, Bröde P, Holmér I, Rintamaki H, Benshabat Y, Jendritzky G (2012) The UTCI-clothing model. Int J Biometeorol 56(3):461–470

    Article  Google Scholar 

  • Hoyt DV (1977) Percent of possible sunshine and the total cloud cover. Mon Weather Rev 105(5):648–652

    Article  Google Scholar 

  • Jendritzky G, de Dear R, Havenith G (2012) UTCI—why another thermal index? Int J Biometeorol 56(3):421–428

    Article  Google Scholar 

  • Jun Y, Yongheng Z, Jianchao X (2016) Study on comprehensive evaluation of suitability of Chinese summer tourism base. Resour Res Sci 38(12):2210–2220

    Google Scholar 

  • Kong Q, Ge Q, Zheng JXJ (2016) Human-biometeorological assessment of increasing summertime extreme heat events in Shanghai, China during 1973–2015. Theor Appl Climatol:1–10

  • Liu J, Xi Y, Hao LL, Zhi Q (2014) Sensor nodes deployment strategy for monitoring roadside biomass carbon stocks of tourism destination: a case of Wulong world natural heritage, China. Math Probl Eng 2014(4):1–8

    Google Scholar 

  • Loo BPY Lam WWY (2008) Indicators of socially sustainable urban transport: a space-time accessibility approach. 15(13):187–196

  • Loo BPY, Cheung WS, Yao S (2011) The rural-urban divide in road safety: the case of China. Open. Transp J 511(1):9–20

    Google Scholar 

  • Lu L, Xuan G, Zhang J (2002) An approach to seasonality of tourist flows between coastland resorts and mountain resorts:examples of Sanya, Beihai, Mt. Putuo, Mt. Huangshan and Mt. Jiuhua. Acta Geograph Sin 6(57):731–740

    Google Scholar 

  • Marcotullio PJ, Sarzynski A, Albrecht J, Schulz N (2012) The geography of urban greenhouse gas emissions in Asia: a regional analysis. Glob Environ Chang 22(4):944–958

    Article  Google Scholar 

  • Matzarakis A, Amelung B (2008) Physiological equivalent temperature as indicator for impacts of climate change on thermal comfort of humans. In: Thomson MC et al (eds), Seasonal forecasts, climatic change and human health. Advances in global change research 30. Springer, Berlin, pp 161–172

    Chapter  Google Scholar 

  • Mu B, Mayer AL, He R, Tian G (2016) Land use dynamics and policy implications in Central China: a case study of Zhengzhou. Cities 58:39–49

    Article  Google Scholar 

  • Neset TS, Glaas E, Ballantyne AG, Linnér BO, Opach T, Navarra C, Johansson J, Bohman A, Rød JK, Goodsite M (2016) Climate change effects at your doorstep: geographic visualization to support Nordic homeowners in adapting to climate change. Appl Geogr 74:65–72

    Article  Google Scholar 

  • Ng CFS, Boeckmann M, Ueda K, Zeeb H, Nitta H, Watanabe C, Honda Y (2016) Heat-related mortality: effect modification and adaptation in Japan from 1972 to 2010. Glob Environ Chang 39:234–243

    Article  Google Scholar 

  • Nugraha A, Hamin H, Elliott G (2016) Tourism destination decisions: the impact of risk aversion and prior experience. Asia Pac J Tour Res 21(12):1–11

    Google Scholar 

  • Oliver JE (2007) Encyclopedia of World Climatology

  • Ouzzahra Y, Havenith G, Redortier B (2012) Regional distribution of thermal sensitivity to cold at rest and during mild exercise in males. J Therm Biol 37(7):517–523

    Article  Google Scholar 

  • P, W., Z. Z. B M. J. L (2014) A construction of evaluation index system. Hum Geogr 3(29):128–134

    Google Scholar 

  • Qinqin K, Jingyun Z, Xinge W (2016) Spatial pattern and spatial–temporal change of climate comfort in China from 1979 to 2014. Res Sci 38(6):1129–1139

    Google Scholar 

  • Siple MPAC, Passel F (1999) Excerpts from: measurements of dry atmospheric cooling in subfreezing temperatures. Wilderness Environ Med 10(3):176–182

    Article  Google Scholar 

  • Snepenger D, Snepenger M, Dalbey M, Wessol A (2007) Meanings and consumption characteristics of places at a tourism destination. J Travel Res 45(3):310–321

    Article  Google Scholar 

  • Špinar J, Špinarová L, Vítovec J, Pluháček L, Kubecová L, Ohnútková P, Toman J, Pacher R, Staněk B, Wimmer AA (1972) Thermal comfort: analysis and applications in environmental engineering: Fanger, P.O. Danish Technical Press, Copenhagen, Denmark, 1970, 244 pp.: Abstr. in World Textile Abstracts. Appl Ergon 3(3):181

    Google Scholar 

  • Thom EC (1959) The discomfort index. Weatherwise 12(12):57–61

    Article  Google Scholar 

  • Tóth G, Dávid L (2010) Tourism and accessibility: an integrated approach. Appl Geogr 30(4):666–677

    Article  Google Scholar 

  • Wang J, Brown DG, Agrawal A (2013) Climate adaptation, local institutions, and rural livelihoods: a comparative study of herder communities in Mongolia and Inner Mongolia, China. Glob Environ Chang 23(6):1673–1683

    Article  Google Scholar 

  • Wray M (2009) Policy communities, networks and issue cycles in tourism destination systems. J Sustain Tour 17(6):673–690

    Article  Google Scholar 

  • Wu P, Ge Q, Qi X, Wang K (2010) Impacts of climate factors on tourism demand for coastal destinations: a case studyon Hai nan province. Res Sci 1(32):157–162

    Google Scholar 

  • Wu P, Zhou Z, Mu J (2014) A construction of evaluation index system. Hum Geogr 128-134(03)

  • Xi J, Zhao M, Ge Q (2011) An assessment of the possible impact of global climate changes on regional tourist flows in five provinces of southern China. Tour Tribune 11:78–83

    Google Scholar 

  • Xia JH, Zeephongsekul P, Packer D (2011) Spatial and temporal modelling of tourist movements using Semi-Markov processes. Tour Manag 32(4):844–851

    Article  Google Scholar 

  • Yaglou CP, Minaed D (1957) Control of heat casualties at military training centers. AMA Arch Ind Health 16(4):302–316

    Google Scholar 

Download references

Acknowledgements

This research study was supported by the National Natural Science Foundation of China (Grant No. 41471140, 41671158) and the Liaoning Province Outstanding Youth Program (Grant No. LJQ2015058). The authors would like to acknowledge all experts’ contributions in the building of the model and the formulation of the strategies of this study. We sincerely thank the Institute of Geographic Sciences and Natural Resources Research, CAS.

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Jun Yang contributed to all aspects of this work; Yongheng Zhang wrote the main manuscript text, conducted the experiment, and analyzed the data; Xueming Li, Jianchao Xi, and Zhangxian Feng revised the paper. All authors reviewed the manuscript.

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Correspondence to Jun Yang or Zhangxian Feng.

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Yang, J., Zhang, Z., Li, X. et al. Spatial differentiation of China’s summer tourist destinations based on climatic suitability using the Universal Thermal Climate Index. Theor Appl Climatol 134, 859–874 (2018). https://doi.org/10.1007/s00704-017-2312-5

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