2007 Annual International CHRIE Conference & Exposition
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Table 5
Selected Socio-Demographic Characteristics and Travel Intention of Three Groups
Characteristics
Social (%)
Inactive (%)
Novelty (%)
χ
2
Value
Age
12.54
50-59
5.95
10.53
11.11
60-69
50.00
34.21
33.33
70-79
36.31
50.00
22.22
80 and above
7.74
5.26
33.33
Retirement Status
3.97
Retired
94.61
100.00
88.89
Employed
full-time
1.80
0
0
Employed
part-time
3.59
0
11.11
Education
5.89
High school or less
4.14
0
0
Some
college
17.16
7.89
11.11
Four
year college
35.50
50.00
33.33
Graduate
school
43.20
42.11
55.56
Income
2.87
Less
than
$40,000
16.99
13.51
0
$40,000
to
$79,999
42.48
48.65
37.50
$80,000 or more
40.52
37.84
62.50
Travel Intention within Five Years
12.65*
Very
likely
91.02
86.84
66.67
Likely
7.19
7.89
11.11
Unlikely
0.60
2.63
11.11
Very
unlikely
1.20
2.63
11.11
* p<.05
DISCUSSION AND CONCLUSION
To segment the mature travel market based on their travel motivation is a useful and practical approach,
which has been employed by many researchers (e.g. You & O’Leary, 1999). Two unique contributions
of this study
include findings in regard to the intention to travel within five years and the number of years at the present home.
For novelty-type of mature travelers, they were less likely to have a long-term travel intention, compared to the
social-type and inactive-type of travelers. This result indicates that some of mature travelers like to try out some new
things and they do not like
to set up a rigid schedule; therefore, a long-term travel plan may not be an attractive thing
for them. The novelty-type of mature travelers also tends to stay at their present home for a longer time compared to
the other two groups. They would like to pursue something new
on their leisure trip, as a compensation of staying at
one place for a long time. On the contrary, when mature travelers move into a new home or community, they like to
meet more
people on their trip, in order to fulfill their social needs. Therefore, it is very important for mature travel
professionals to understand and tailor the travel products to their customers’ unique needs.
A major limitation of this study is the homogeneity of the sample population and the sampling method,
which makes it hard to generalize the results to other segments of the aging population. First of all,
the convenience
sample used in this study is not highly representative of the general population. Mature respondents included in this
study are self-selected to enroll in Lifelong Learning programs; therefore, this highly-motivated group is prone to be
biased. Secondly, this sample lacks racial diversity.
Except for one respondent, all the other respondents were white.
Thirdly, this study is confined to a geographic location. Most of the class participants live in the Upstate of South
Carolina, specifically around universities, which makes it impossible to apply the findings of this study to any other
geographic locations. Fourthly, mature respondents share similar socio-demographic profiles.
It was hard to
differentiate them based on their demographic characteristics. Most of them retired, and they were quite healthy,
wealthy, motivated, and learning-oriented. They were high-functioning and independent-living mature travelers.
Results found in this study may not be generalized beyond this sample of aging population. It is recommended that
more heterogeneous sample should be drawn and a desirable sampling method should be used for future studies.
Similar studies may also be conducted among general populations to compare travel
motivations among generations,
which will offer a unique perspective to study inter-generational travel market.