for Cruise Research
centre for research and for
de la Viña, Lynda and Jamie
Ford. "Logistic Regression Analysis of Cruise Vacation Market
Potential: Demographic and Trip Attribute Perception Factors,"
of Travel Research, 2001, 39:4, 406-410
article describes the demographic and trip attribute factors of
potential cruise passengers based on a nationwide sample of
persons who previously requested travel information for tourist
destinations in South Texas
regional convention and visitors bureaus.
The analysis used logistic regression
modeling. The key factors in determining the propensity to
cruise vacation are marital status, income, previous
cruise vacation experience, cost, the duration of the
visiting new destinations, and the availability of a
postcruise package. Factors that were not found to be
significant included the typical number of pleasure trips
the itinerary, direct air flights to the departure city,
accessibility from the airport to the ship, gender, age,
attainment, and number of children in the household.