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Using synoptic weather types to predict visitor attendance at Atlanta and Indianapolis zoological parks

International Journal of Biometeorology volume 62, pages 127–137 (2018)Cite this article

Abstract

Defining an ideal “tourism climate” has been an often-visited research topic where explanations have evolved from global- to location-specific indices tailored to tourists’ recreational behavior. Unfortunately, as indices become increasingly specific, they are less translatable across geographies because they may only apply to specific activities, locales, climates, or populations. A key need in the future development of weather and climate indices for tourism has been a translatable, meteorologically based index capturing the generalized ambient atmospheric conditions yet considering local climatology. To address this need, this paper tests the applicability of the spatial synoptic classification (SSC) as a tool to predict visitor attendance response in the tourism, recreation, and leisure (TRL) sector across different climate regimes. Daily attendance data is paired with the prevailing synoptic weather condition at Atlanta and Indianapolis zoological parks from September 2001 to June 2011, to review potential impacts ambient atmospheric conditions may have on visitor attendances. Results indicate that “dry moderate” conditions are most associated with high levels of attendance and “moist polar” synoptic conditions are most associated with low levels of attendance at both zoological parks. Comparing visitor response at these zoo locations, visitors in Indianapolis showed lower levels of tolerance to synoptic conditions which were not “ideal.” Visitors in Indianapolis also displayed more aversion to “polar” synoptic regimes while visitors in Atlanta displayed more tolerance to “moist tropical” synoptic regimes. Using a comprehensive atmospheric measure such as the SSC may be a key to broadening application when assessing tourism climates across diverse geographies.

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References

  • Agnew, M., Palutikof, J. 2001. Climate impacts on the demand for tourism. First International Workshop on CTR. International Society of Biometeorology, CCTR.

  • Andrade H, Alcoforado M-J, Oliveira S (2011) Perception of temperature and wind by users of public outdoor spaces: relationships with weather parameters and personal characteristics. Int J Biometeorol 55(5):665–680

    Article  Google Scholar 

  • ASHRAE (1972) Handbook of fundamentals. American Society of Heating, Refrigerating and Air Conditioning Engineers, New York

    Google Scholar 

  • ASHRAE (2001) ASHRAE handbook: fundamentals, 8. American Society of Heating and Air-Conditioning Engineers, Atlanta, GA

    Google Scholar 

  • ASHRAE (2004) ASHRAE Standard 55–2004: thermal environmental conditions for human occupancy. American Society of Heating, Refrigerating and Air-conditioning Engineers, Atlanta, GA

    Google Scholar 

  • Bigano A, Hamilton J, Tol R (2006) The impact of climate on holiday destination choice. Clim Chang 76:389–406

    Article  Google Scholar 

  • Brandenburg C, Ploner A (2002) Models to predict visitor attendance levels and the presence of specific user groups. Monitoring and management of visitor flows in recreational and protected areas. Conference proceedings; 166–172.

  • Burnet L (1963) Villegiature et tourism sur les Cotes de France. Libraire Hachette, Paris

    Google Scholar 

  • Crowe PR (1971) Concepts in climatology. St. Martin’s Press, New York, p 589

    Google Scholar 

  • Crowe RB (1976) A climatic classification of the Northwest Territories for recreation and tourism. Environment Canada, Toronto

    Google Scholar 

  • Curtis S, Arrigo J, Covington R (2008) Climate, weather and tourism: bridging science and practice, East Carolina University Center for Sustainable Tourism.

  • de Freitas CR (2014) Weather and place-based human behaviour: recreational preferences and sensitivity. Int J Biometeorol.

  • de Freitas CR, Matzarakis A, Scott D (2007) Climate, tourism and recreation: research progress a decade on. Developments in Tourism Climatology. CCTR. International Society of Biometeorology.

  • de Freitas CR, Scott D, McBoyle G (2008) A second generation climate index for tourism (CIT): specification and verification. Int J Biometeorol 52:399–407

    Article  Google Scholar 

  • Falk JH, Reinhard EM, Vernon CL, Bronnenkant K, Deans NL, Heimlich JE (2007) why zoos and aquariums matter: assessing the impact of a visit. AZA.

  • Gomez-Martin B (2005) Weather, climate and tourism a geographical perspective. Ann Tour Res 52(5):571–591

    Article  Google Scholar 

  • Hale M, Altalo M (2002) Current and potential uses of weather, climate and ocean information in business decision-making in the recreation and tourism industry, SAIC.

  • Hamilton J, Lau M (2005) The role of climate information in tourist destination choice decision-making. Proceedings of the 17th International Congress of Biometeorology Garmisch-Partenkirchen, Germany, pp 608–611

    Google Scholar 

  • Heurtier R (1968) Essaie de climatologie touristique synoptique de l’Europe occidentale et Mediterraneene pendant la season d’ete. La Meteorologie 7, 71–107 and 8, 519–566.

  • Hondula DM, Vanos JK, Gosling SN (2014) The SSC: a decade of climate-health research and future directions. Int J Biometeorol 58(2):109–120

    Article  CAS  Google Scholar 

  • Hwang R-L (2007) Thermal comfort requirements for occupants of semi-outdoor and outdoor environments in hot-humid regions. Archit Sci Rev 50(4):357–364

    Article  Google Scholar 

  • Kalkstein LS, Sheridan SC (2011) Collaborative agreement between NIMR and applied climatologists: an improved heat/health system for Seoul and the development of winter relationships for large cities in the Republic of Korea.

  • Kalkstein LS, Webber SR (1990) A detailed evaluation of scenes air quality data in Northern Arizona using a three-dimensional synoptic approach. Publ Climatol 43(1):1–98

    Google Scholar 

  • Kalkstein LS, Barthel DC, Greene SJ, Nichols MC (1996) A new spatial synoptic classification: application to air mass analysis. Int J Climatol 16:983–1004

    Article  Google Scholar 

  • Knez I, Thorsson S (2006) Influences of culture and environmental attitude on thermal, emotional and perceptual evaluations of a public square. Int J Biometeorol 50:258–268

    Article  Google Scholar 

  • Köppen W (1931) Grundriss der Klimakunde. Walter de Gruyter Company, Berlin

    Google Scholar 

  • Lin TP (2009) Thermal perception, adaptation and attendance in a public square in hot and humid regions. Build Environ 44:2017–2026

    Article  Google Scholar 

  • Lin TP, Matzarakis A (2008) Tourism climate and thermal comfort in Sun Moon Lake, Taiwan. Int J Biometeorol 52:281–290

    Article  Google Scholar 

  • Matzarakis A, de Freitas CR (eds.) (2001) Developments in tourism climatology. CCTR. International Society of Biometeorology.

  • Matzarakis A, de Freitas CR (eds.) (2004) Developments in tourism climatology. CCTR. International Society of Biometeorology

  • Matzarakis A, Mayer H (1996) Another kind of environmental stress: thermal stress. WHO collaborating centre for air quality management and air pollution control. Newsletters 18:7–10

    Google Scholar 

  • Matzarakis A., de Freitas CR, Scott D (eds.) (2007) Developments in tourism climatology. CCTR. International Society of Biometeorology

  • Mieczkowski Z (1985) The tourism climatic index: a method of evaluating world climates for tourism. Can Geogr 29:220–233

    Article  Google Scholar 

  • Morgan R, Gatell E, Junyent R, Micallef A, Ozhan E, Williams A (2000) An improved user‐based beach climate index. J Coast Conserv 6:41–50

    Article  Google Scholar 

  • Nicholls S, Holecek DF, Noh J (2008) Impact of weather variability on golfing activity and implications of climate change. Tour Anal 13:117–130

    Article  Google Scholar 

  • Nikolopoulou M, Lykoudis S (2006) Thermal comfort in outdoor urban spaces: analysis across different European countries. Build Environ 41(11):1455–1470

    Article  Google Scholar 

  • NOAA (2014) Cooperative Network data obtained from the Midwestern Regional Climate Center, cli-MATE (MRCC Application Tools Environment, on CLIMATE). Climate Normals By City. http://mrcc.isws.illinois.edu/CLIMATE/. Accessed June 2014

  • Olson PJ (2008) Any given Sunday: weekly church attendance in a Midwestern city. J Sci Study Relig 47(3):443–461

    Article  Google Scholar 

  • Personal Communication (2015a) Tracy Lott, Zoo Atlanta VP Marketing and Membership, January 29, 2015.

  • Personal Communication (2015b) Robin Rushton, Indianapolis Zoo Corporate Sponsorships, January 30, 2015.

  • Rainham DGC, Smoyer-Tomic KE, Sheridan SC, Burnett RT (2005) Synoptic weather patterns and modification of the association between air pollution and human mortality. Int J Environ Res 15:347–360

    Google Scholar 

  • Rutty M, Scott D (2015) Bioclimatic comfort and the thermal perceptions and preferences of beach tourists. Int J Biometeorol 59(1):37–45

    Article  Google Scholar 

  • Scott D, McBoyle G, Schwartzentruber M (2004) Climate change and the distribution of climatic resources for tourism in North America. Clim Res 27:105–117

    Article  Google Scholar 

  • Scott D, Gossling S, de Freitas CR (2008) Preferred climates for tourism: case studies from Canada, New Zealand and Sweden. Clim Res 38:61–73

    Article  Google Scholar 

  • Scott D, Hall M, Gossling S (2012) Tourism and climate change impacts, adaptation and mitigation. Routledge, New York, NY

    Google Scholar 

  • Sheridan SC (2002) The redevelopment of a weather-type classification scheme for North America. Int J Climatol 22(1):51–68

    Article  Google Scholar 

  • Sheridan, SC (2014) Spatial Synoptic Classification Homepage. http://sheridan.geog.kent.edu/ssc.html

  • Suminski RR, Poston WC, Market P, Hyder M, Sara PA (2008) Meteorological conditions are associated with physical activities performed in open-air settings. Int J Biometeorol 52:189–197

    Article  Google Scholar 

  • Tepfenhart M, Mauser W, Siebel F (2007) 166 The impacts of climate change on ski resorts and tourist traffic. In: Developments in tourism climatology. CCTR: International Society of Biometeorology, Freiburg, pp 172–177

    Google Scholar 

  • United Nations World Tourism Organization (2009) From Davos to Copenhagen and beyond: advancing tourism’s response to climate change. Background Paper.

  • Vanos JK, Cakmak S (2014) Changing air mass frequencies in Canada: potential links and implications for human health. Int J Biometeorol 58(2):121–135

    Article  CAS  Google Scholar 

  • Welki AM, Zlatoper TJ (1994) US professional football: the demand for game-day attendance in 1991. Manag Decis Econ 15(5):489–495

    Article  Google Scholar 

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Acknowledgments

Funding was provided in part by NSF Project #0947982.

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  1. George Mason University Center for Climate Change Communication, Fairfax, VA, USA

    David R. Perkins IV

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  1. David R. Perkins IV
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Correspondence to David R. Perkins IV.

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Perkins, D.R. Using synoptic weather types to predict visitor attendance at Atlanta and Indianapolis zoological parks. Int J Biometeorol 62, 127–137 (2018). https://doi.org/10.1007/s00484-016-1142-y

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  • DOI: https://doi.org/10.1007/s00484-016-1142-y

Keywords

  • Thermal aversion
  • Synoptic scale classification
  • Tourism climatology
  • Zoological parks
  • Consumer behavior
  • Tourism, recreation, and leisure