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• W3149339998 abstract "Vacation travel in the USA constitutes about 25 percent of all long-distance travel, and about 80 percent of this vacation travel is undertaken using the automobile. Further, vacation travel by the automobile has been increasing consistently over the past two decades. At the same time that the overall amount of vacation travel by the private automobile has been increasing, the geographic footprint of vacation travel around households’ residences is also becoming more compact. The net result is that vacation travel warrants careful attention in the context of regional and statewide transportation air quality planning and policy analysis, as well as for boosting tourism by developing appropriate marketing strategies and service provision strategies in an environmentally sustainable manner. This paper contributes to the vacation travel literature by examining how households decide what vacation travel activities to participate in on an annual basis, and to what extent, given the total annual vacation travel time that is available at their disposal. To our knowledge, this is the first comprehensive modeling exercise in the literature to undertake such a vacation travel time-use analysis to examine purpose-specific time investments. The consideration of different purposes of vacation travel is particularly important today because of the increasing variety of vacation travel activities households participate in. A mixed multiple discrete-continuous extreme value (MDCEV) model structure that is consistent with the notion of “optimal arousal” in vacation type time-use decisions is used in the analysis. The data used is drawn from the 1995 American Travel Survey (ATS). The empirical results show that most households participate in different types of domestic vacation travel over the course of a year, and they spend significantly different amounts of time on each type of vacation travel. The research identifies differences in vacation travel preferences based on household demographics, economic characteristics, and residence characteristics. Thus, the model developed here can be used to predict the changes in vacation travel time-use patterns due to the changes in demographic, economic, and residence characteristics over time. Such predictions, in turn, can be used to examine the changing vacation travel needs of households, so that appropriate service and transportation facilities may be planned. The paper also proposes a structural framework to integrate the model in this paper within a larger microsimulation-based system for predicting complete vacation activity-travel patterns for transportation air quality analysis." @default.
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• W3149339998 date "2008-01-01" @default.
• W3149339998 modified "2023-09-23" @default.
• W3149339998 title "An Annual Time Use Model for Domestic Vacation Travel" @default.
• W3149339998 hasPublicationYear "2008" @default.
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