In this article the relationship between the weather and water-based recreational behavior is investigated at the microlevel. The relation is estimated by applying a zero-inflated negative binomial count model on a large dataset consisting of individually reported day-tripping behavior during a 2-week period. The weather conditions, measured by four indicators, were merged to these data. The analysis shows that effects of the weather on human choice behavior can be estimated at the microlevel. Various aspects of the weather (temperature, rain, wind, and sunshine) exert their particular influence on different recreational activities. In particular, temperature and wind force affect all types of water-based day trips. Rain and hours of sunshine appear to matter less.
The aim of Tourism Analysis is to promote a forum for practitioners and academicians in the fields of Leisure, Recreation, Tourism, and Hospitality (LRTH). As a interdisciplinary journal, it is an appropriate outlet for articles, research notes, and computer software packages designed to be of interest, concern, and of applied value to its audience of professionals, scholars, and students of LRTH programs the world over.