Abstract
Beaches are important tourist attractions in many countries. To plan and manage coastal zones, authorities require knowledge about beach visitations. However, current procedures lack accuracy and coverage. To address this, a method to estimate the total beach visitor population was
tested for a selected coastal strip over a specified time period, based on directly observed daily visitor counts. Visitor count data were then used to model readily observable weather and location factors predicting daily beach visitations at the peak-use period. Further application of the
novel method will inform authorities with crucial and pertinent data to manage natural coastal visitor attractions.
Subject
Tourism, Leisure and Hospitality Management,Geography, Planning and Development
Cited by
5 articles.
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