Analysis of long-distance vacation travel demand in the United States: a multiple discrete–continuous choice framework

摘要: This study analyzes the annual vacation destination choices and related time allocation patterns of American households. More specifically, an choice model is formulated to simultaneously predict different destinations that a household visits in year, (no. days) it allocates each visited destinations. The takes form multiple discrete–continuous extreme value (MDCEV) structure. Further, variant MDCEV proposed reduce prediction unrealistically small amounts chosen To do so, continuously non-linear utility functional framework replaced with combination linear form. empirical analysis was performed using 1995 Travel Survey data, United States divided into 210 alternative estimation results provide several insights determinants households’ patterns. Results suggest travel times costs destinations, lodging costs, leisure activity opportunities (measured by employment industry), length coastline, weather conditions at influence for vacations. developed this can be incorporated larger national modeling predicting national-level, origin–destination flows travel.