| Summary: | 碩士 === 國立新竹教育大學 === 人資處體育碩士專班 === 98 === The purpose of this study was to explore the relationship of the visitor’s socio-demographics, destination image and recreation satisfaction at Hsinchu City 17 kilom- eters of splendid coastline bikeway. Convenience sampling process was used to collect data and 407 valid questionnaires were received. There were three parts including visitor’s socio-demographics, destination image, recreation satisfaction for investigation instrument. The researcher used descriptive statistic analysis, independent-sample t-test, one-way ANOVA, scheffe pos hoc test, and canonical correlation to analysis those data. The findings of this study were summarized as following:
(1)This study found that males were more than female. The primary visitors were 21~40 years old, single, college or university level of education, industries or students, monthly income 20,001~40,000 NT dollars, and live in other counties outside Hsinchu City. Their partners were family, friends, classmates, moreover, the visitor preferred renting bicycle to preparing their own. The majority of visitors went to the bikeway first time and spent about 1~2 hours to ride. Their information were introduced by relatives and friends.
(2) The destination image of 17 kilometers of splendid coastline was high on ”Attraction image” and the ”Natural environment” has the highest performance evaluation for recreation satisfaction.
(3)According to t-test and One-way ANOVA results, there were no significant differences among visitors regard to gender, age, marital status, occupation, inhabitation, visiting times, riding partners. In destination images and recreation satisfactions, there were significant differences in different educational level and staying time.
(4)Through canonical correlation analysis, this study found that destination images and recreation satisfactions were significantly correlated. “Management image” was the major factors influencing recreation satisfactions.
(5)Based on the analytic result above, we suggest that increase variables, either utilize other research or statistical methods to probe into relationships with variability for following researcher.
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