Literature DB >> 18097690

A second generation climate index for tourism (CIT): specification and verification.

C R de Freitas1, Daniel Scott, Geoff McBoyle.   

Abstract

Climate is a key resource for many types of tourism and as such can be measured and evaluated. An index approach is required for this task because of the multifaceted nature of weather and the complex ways that weather variables come together to give meaning to climate for tourism. Here we address the deficiencies of past indices by devising a theoretically sound and empirically tested method that integrates the various facets of climate and weather into a single index called the Climate Index for Tourism (CIT). CIT rates the climate resource for activities that are highly climate/weather sensitive, specifically, beach "sun, sea and sand" (3S) holidays. CIT integrates thermal (T), aesthetic (A) and physical (P) facets of weather, which are combined in a weather typology matrix to determine a climate satisfaction rating that ranges from very poor (1=unacceptable) to very good (7=optimal). Parameter A refers to sky condition and P to rain or high wind. T is the body-atmosphere energy balance that integrates the environmental and physiological thermal variables, such as solar heat load, heat loss by convection (wind) and by evaporation (sweating), longwave radiation exchange and metabolic heat (activity level). Rather than use T as a net energy (calorific) value, CIT requires that it be expressed as thermal sensation using the standard nine-point ASHRAE scale ("very hot" to "very cold"). In this way, any of the several body-atmosphere energy balance schemes available may be used, maximizing the flexibility of the index. A survey (N=331) was used to validate the initial CIT. Respondents were asked to rate nine thermal states (T) with different sky conditions (A). They were also asked to assess the impact of high winds or prolonged rain on the perceived quality of the overall weather condition. The data was analysed statistically to complete the weather typology matrix, which covered every possible combination of T, A and P. Conditions considered to be optimal (CIT class 6-7) for 3S tourism were those that were "slightly warm" with clear skies or scattered cloud (<or=25% cloud). Acceptable conditions (CIT=4-5) fell within the thermal range "indifferent" to "hot" even when the sky was overcast. Wind equal to or in excess of 6 m/s (22 km/h) or rain resulted in the CIT rating dropping to 1 or 2 (unacceptable) and was thus an override of pleasant thermal conditions. Further cross-cultural research is underway to examine whether climate preferences vary with different social and cultural tourist segments internationally.

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Year:  2007        PMID: 18097690     DOI: 10.1007/s00484-007-0134-3

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  4 in total

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Journal:  Int J Biometeorol       Date:  1999-10       Impact factor: 3.787

2.  The physiological equivalent temperature - a universal index for the biometeorological assessment of the thermal environment.

Authors:  P Höppe
Journal:  Int J Biometeorol       Date:  1999-10       Impact factor: 3.787

3.  Tourism climatology: evaluating environmental information for decision making and business planning in the recreation and tourism sector.

Authors:  C R de Freitas
Journal:  Int J Biometeorol       Date:  2003-05-09       Impact factor: 3.787

4.  Assessment of human bioclimate based on thermal response.

Authors:  C R de Freitas
Journal:  Int J Biometeorol       Date:  1985-06       Impact factor: 3.787

  4 in total
  20 in total

1.  Assessing preferences of beach users for certain aspects of weather and ocean conditions: case studies from Australia.

Authors:  Fan Zhang; Xiao Hua Wang
Journal:  Int J Biometeorol       Date:  2012-06-02       Impact factor: 3.787

2.  The use of webcam images to determine tourist-climate aptitude: favourable weather types for sun and beach tourism on the Alicante coast (Spain).

Authors:  Emilio Martínez Ibarra
Journal:  Int J Biometeorol       Date:  2010-07-20       Impact factor: 3.787

3.  Estimation of the tourism climate in the Hunter Region, Australia, in the early twenty-first century.

Authors:  Ivy Shiue; Andreas Matzarakis
Journal:  Int J Biometeorol       Date:  2010-10-15       Impact factor: 3.787

4.  The bioclimatological leaflet as a means conveying climatological information to tourists and the tourism industry.

Authors:  Ksenija Zaninović; Andreas Matzarakis
Journal:  Int J Biometeorol       Date:  2009-04-18       Impact factor: 3.787

5.  Customized rating assessment of climate suitability (CRACS): climate satisfaction evaluation based on subjective perception.

Authors:  Tzu-Ping Lin; Shing-Ru Yang; Andreas Matzarakis
Journal:  Int J Biometeorol       Date:  2015-04-22       Impact factor: 3.787

6.  Influence of weather conditions on hiking behavior.

Authors:  Ching Li; Shu-Hua Lin
Journal:  Int J Biometeorol       Date:  2011-06-17       Impact factor: 3.787

7.  Practical on-site measurement of heat strain with the use of a perceptual strain index.

Authors:  Albert P C Chan; Y Yang
Journal:  Int Arch Occup Environ Health       Date:  2015-07-03       Impact factor: 3.015

8.  Differences in the importance of weather and weather-based decisions among campers in Ontario parks (Canada).

Authors:  Micah J Hewer; Daniel J Scott; William A Gough
Journal:  Int J Biometeorol       Date:  2017-05-10       Impact factor: 3.787

Review 9.  Tourism climatology past and present: A review of the role of the ISB Commission on Climate, Tourism and Recreation.

Authors:  C R de Freitas
Journal:  Int J Biometeorol       Date:  2017-06-24       Impact factor: 3.787

10.  A glossary for biometeorology.

Authors:  Simon N Gosling; Erin K Bryce; P Grady Dixon; Katharina M A Gabriel; Elaine Y Gosling; Jonathan M Hanes; David M Hondula; Liang Liang; Priscilla Ayleen Bustos Mac Lean; Stefan Muthers; Sheila Tavares Nascimento; Martina Petralli; Jennifer K Vanos; Eva R Wanka
Journal:  Int J Biometeorol       Date:  2014-02-19       Impact factor: 3.787

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