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墾丁國家公園南灣海域海洋休閒運動遊憩衝突之研究

A Study of Conflicts in Marine Leisure Activities on Nan-Wan Bay, Kenting National Park

摘要


本研究旨在探討南灣遊憩水域內進行海洋休閒運動遊憩活動時,其遊憩間所引發的衝突之影響關係,並以從事海洋休閒運動遊客做為研究對象。採自編問卷進行研究,內容包括:基本資料、休閒遊憩種類因素、遊憩衝突因素三大項。實地發送500份問卷,扣除無效問卷30份,實得有效問卷470份,有效回收率為94%。根據研究所得資料運用SPSS10.0套裝軟體以描述性統計、獨立樣本t檢定、單因子變異數分析及雪費法事後考驗等統計方法進行資料分析,以α=.05為顯著水準。結果顯示受訪者之遊客以女性居多(52.8%),年齡以18-27歲居多(57.9%),教育程度以大學(專科)居多(59.1%)。海洋休閒種類以從事觀賞海底生物資源與海底空間景觀(Mean:3.89)及海面上追求速度、刺激及冒險的活動者(Mean:3.89)為大多數。遊客不同背景變項在遊憩衝突之差異分析,結果得知不同性別海洋休閒活動參與者在「經驗模式」有顯著差異存在;不同年齡層的海洋休閒活動參與者在「資源特性」與「經驗模式」構面上有顯著的差異;不同教育程度的海洋休閒活動參與者在「資源特性」構面上有顯著的差異;不同薪資的海洋休閒活動參與者在「資源特性」與「活動型態」構面上有顯著的差異;不同造訪次數的海洋休閒活動參與者在「資源特性」、「經驗模式」、「活動型態」上均有顯著差異存在。

並列摘要


The purpose of this study is to find the influence of the conflict occurred among the aquatic recreation activity in Kenting Nanwan bay area. Aquatic activity users in Kenting Nanwan bay area were selected as the research object. The judgment-based sampling method of self-designed questionnaire was used as the research tool. The questionnaire is divided into sections to collect data from basic information of users, recreation types, and recreation conflict. There were 500 questionnaires distributed, of which 30 were invalid and 470 were valid. The effective rate was 94%. The analysis was conducted by SPSS 10.0 using from descriptive statistics, independent sample T test, one-way ANOVA, Scheff's method, and used α = .05 for the level of significance. The results showed that the respondents were mostly female visitors (52.8%).Age of 18-27 years old, mostly (57.9%). The education to university and college mostly (59.1%). Marine Leisure Activities to watch the marine life in the sea space resources and the pursuit of speed on the landscape and the sea (Mean: 3.89), exciting and adventurous activities are for the most (Mean: 3.89). The visitors different background variables in the analysis of the differences between recreational conflicts, the results of marine leisure activities that the participants of different sex on the ”model of experience” significant differences exist. Ages of marine leisure activities, participants in the ”Resource Properties” and ”model of experience” structure, there are significant differences in the surface. Different levels of education of marine leisure activities, participants in the ”Resource Properties” There are significant differences in surface structure. Salary marine leisure activities in different participants in the ”Resource Properties” and ”activity type” structure, there are significant differences in the surface. The visits of different participants in the marine leisure activities, ”Resource Properties”, ”Empirical model”, ”Activity type” significant difference exist on both.

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