Abstract
In light of increasing domestic travel demand, policymakers in local government units need to adjust to the growth in visitors. The Department of Tourism outlines a national tourism of strategy of increased investment to address deficiencies in infrastructure and lodging. In order to adapt the national policy to local needs, local government units need access to context surrounding visitors. Under the Additive Random Utility framework, we propose a multinomial logit model of provincial destination choice, with sampled alternatives, using data from the 2005 Household Survey on Domestic Visitors to provide needed context behind a domestic traveler's decision to go to a province. Using 8 predictors such as sex, age, marital status, and the like, we intend to capture each predictor's effects on the likelihood of choosing provinces with similar characteristics as well as each predictor's individual significance on the national level.
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