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Ski – resort and regional development: profile of visitors ... - E-Journal

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<strong>Ski</strong> - <strong>resort</strong> <strong>and</strong> <strong>regional</strong> <strong>development</strong>: <strong>pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>visitors</strong> <strong>and</strong> appraisal <strong>of</strong> dem<strong>and</strong> in parnassos ski - <strong>resort</strong><br />

with <strong>visitors</strong> mainly from Athens but also from around the country. Parnassos Resort is situated<br />

191 km from Athens, the capital city <strong>of</strong> Greece. There are 16 pistes <strong>of</strong> various levels <strong>of</strong><br />

difficulty <strong>and</strong> 13 ski lifts. There is also a ski school, stores selling <strong>and</strong> renting skiing equipment,<br />

cafe, restaurant, a small health center <strong>and</strong> a car-park. It operates 8.5 hours daily between 15<br />

December <strong>and</strong> 30 April.<br />

Data used in this research derive from questionnaire survey amongst the <strong>visitors</strong> <strong>of</strong> the <strong>resort</strong>.<br />

In sociological researches, the use <strong>of</strong> questionnaires is essential in order to collect personal<br />

<strong>and</strong> social data. This specific research was curried out by using a structured questionnaire <strong>and</strong><br />

employing the methodology <strong>of</strong> personal interviews, which is one <strong>of</strong> the best methods as<br />

regards statistical data collection (Christou 1999, Daoutopoulos 2005).<br />

Pre-sampling was performed on 50 <strong>visitors</strong> at the ski-<strong>resort</strong> in order to estimate the final<br />

sample size. In that first sample size the percentage <strong>of</strong> skiers was about 50%. Final sample<br />

size was calculated using r<strong>and</strong>om sampling principles with aid <strong>of</strong> the following formula<br />

(Christopoulou <strong>and</strong> Papadopoulos, 2004):<br />

Where:<br />

n = sample size<br />

p = skiers’ percentage (equals 50%)<br />

a = error <strong>of</strong> mean (equals 0.05)<br />

z = 1.96 (for probability level 95 %)<br />

Tourism Today - Fall 2007 - Full Paper<br />

n=z 2 p(1-p)/a 2 (3.1)<br />

Thus, based on the above formula the necessary sample size was estimated to be 384<br />

questionnaires. However, for the refinement <strong>of</strong> the sample size, 400 questionnaires were filled<br />

in. They were distributed among <strong>visitors</strong> (skiers <strong>and</strong> non-skiers). The questionnaire consisted<br />

<strong>of</strong> 26 questions (64 variables) with «closed» answers, although some questions could be<br />

answered freely. The questions concerned:<br />

(a) Visits to the ski <strong>resort</strong> (if they have visited it previously, number <strong>of</strong> times per year, reasons<br />

for not visiting more frequently, naming the days <strong>of</strong> visit, duration <strong>of</strong> their stay there etc), (b)<br />

skiing: if they practice the sport or not <strong>and</strong> for what reasons, (c) region: location <strong>of</strong> the <strong>visitors</strong>’<br />

home, the area where they spent the night, time <strong>of</strong> stay, travel costs per person, (d) other ski<strong>resort</strong>s:<br />

which ski-<strong>resort</strong>s they prefer <strong>and</strong> visit frequently <strong>and</strong> for what reasons, (e) individual<br />

features: age, sex, pr<strong>of</strong>ession, level <strong>of</strong> education, number <strong>of</strong> family members <strong>and</strong> annual<br />

income.<br />

Data collected were analysed using the statistical program SPSS. Descriptive statistics <strong>and</strong><br />

multiple linear regression analysis were employed for dealing with the data. In particular, by<br />

using descriptive statistics, averages <strong>and</strong> percentages <strong>of</strong> certain variables were estimated. Two

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