- Title
- Identification of observed factors that predict bather water-immersions at beaches
- Creator
- Morgan, Damian; Ozanne-Smith, Joan
- Date
- 2013
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/35028
- Identifier
- vital:6277
- Identifier
-
https://doi.org/10.1016/j.ocecoaman.2013.08.006
- Identifier
- ISSN:0964-5691
- Abstract
- Coastal managers require accurate and relevant visitor information to manage visitor's leisure and recreation experiences. The study reports the development of a predictive model of bather water-immersions at selected beaches in Victoria, Australia for the daily peak-bathing period. Criterion variable data were collected over two summer periods to provide external validation. Predictor variables were observed on site or from secondary data. Results showed a statistically significant model meeting the required assumptions: Adjusted R2 = 0.65: F2, 292 = 270.50, p < 0.001; R2 95% CI: 0.58 to 0.71. Significant predictor variables were daily maximum air temperature and level of service (no service, toilet/water, or kiosk/club). Further research is required to assess the model generalisability to other beach locations and time frames
- Relation
- Ocean and Coastal Management Vol. 84, no. (2013), p. 180-183
- Rights
- Copyright Elsevier
- Rights
- This metadata is freely available under a CCO license
- Subject
- 04 Earth Sciences; 06 Biological Sciences; 07 Agricultural and Veterinary Sciences
- Reviewed
- Hits: 931
- Visitors: 911
- Downloads: 0