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


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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



    Published in:

    Publication date :

    2012




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    55.80 Verkehrswesen, Transportwesen: Allgemeines / 74.75 Verkehrsplanung, Verkehrspolitik
    Local classification TIB:    535/7000



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

    Van Nostrand, Caleb / Sivaraman, Vijayaraghavan / Pinjari, Abdul Rawoof | Online Contents | 2012


    Mode Choice and Value of Time on Long-Distance Vacation Trips

    Bursa, Bartosz | Transportation Research Record | 2024

    Free access


    Discrete choice analysis : theory and application to travel demand

    Ben-Akiva, Moshe Emanuel ;Lerman, Steven R. | SLUB | 2007


    Discrete choice analysis : theory and application to travel demand

    Ben-Akiva, Moshe Emanuel ;Lerman, Steven R. ;Ben-Akiva, Moshe | SLUB | 1994