Literature DB >> 22661009

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

Fan Zhang1, Xiao Hua Wang.   

Abstract

Three well-known Australian beaches, Surfers Paradise Beach (Gold Coast), Narrowneck Beach (Gold Coast) and Bondi Beach (Sydney), were selected for analysis of beach user preferences for certain weather and ocean conditions. Regression methods were used to determine how the numbers of visitors to these beaches are affected by these conditions. Actual visitor numbers were counted at three times during the day over several months at each beach with the aid of web cameras. The corresponding weather and ocean conditions were obtained from the Australian Bureau of Meteorology and local government agencies. Weekly and seasonal factors were also considered. The conditions preferred by beach users, as found in this study, are: no precipitation, higher temperatures, light-to-moderate wind speed (less than 30 km/h) and low wave height (up to 1.25 m). This study, the first to provide an analysis of beach user preferences for both weather and ocean conditions, shows that ocean conditions play a significant role in explaining the demand for beach recreation in Australia. It is therefore necessary for tourism management authorities or local governments to provide accurate and timely weather and ocean information to local, domestic and international beach users.

Mesh:

Year:  2012        PMID: 22661009     DOI: 10.1007/s00484-012-0556-4

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


  9 in total

1.  Applications of a universal thermal index: physiological equivalent temperature.

Authors:  A Matzarakis; H Mayer; M G Iziomon
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.  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

5.  Modelling radiation fluxes in simple and complex environments--application of the RayMan model.

Authors:  Andreas Matzarakis; Frank Rutz; Helmut Mayer
Journal:  Int J Biometeorol       Date:  2006-11-09       Impact factor: 3.787

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

Authors:  C R de Freitas; Daniel Scott; Geoff McBoyle
Journal:  Int J Biometeorol       Date:  2007-12-20       Impact factor: 3.787

7.  Tourism climate and thermal comfort in Sun Moon Lake, Taiwan.

Authors:  Tzu-Ping Lin; Andreas Matzarakis
Journal:  Int J Biometeorol       Date:  2007-10-17       Impact factor: 3.787

8.  Ordinal regression models for epidemiologic data.

Authors:  B G Armstrong; M Sloan
Journal:  Am J Epidemiol       Date:  1989-01       Impact factor: 4.897

9.  Assessment of human bioclimate based on thermal response.

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

  9 in total

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