大學生對於校園及公園區域類型都市林功能認知之比較

A comparative analysis of university students' perceptions of urban forest functions in campus and park areas

本研究旨在瞭解學生對於校園及公園區域兩類型都市林功能的認知，並探討個人價值與都市林功能認知之關係，研究對象為國立中興大學農業暨自然資源學院之學生，共獲問卷159份，其中有效問卷數量為149份。研究採用李克特（Likert）五點尺度量表進行量測都市林功能的重要性，並使用List of values（LOV）價值觀量表來量測個人價值觀。各別都市林功能的認知採用重複量變異數分析（Repeated measure analysis of variance, RM-ANOVA）進行統計分析；而相同都市林功能在不同區域類型之比較則使用成對樣本t檢定進行比較，並運用迴歸模式進行分析都市林功能認知與個人價值之關係。研究結果顯示，經RM-ANOVA檢測受訪者對於此兩類型各別都市林功能的認知皆呈顯著差異性，兩者皆以「美化及綠化環境」分數最高（校園型4.51及公園型4.71），「文化意涵」分數最低（校園型3.87及公園型3.91）；而根據成對樣本t測驗所得結果顯示，受訪者在公園型都市林各問項分數皆大於校園型都市林；本研究以迴歸式分析不同類型都市林功能與個人價值所得之結果，可提供預測公園型及校園型不同項目之都市林功能。

This study aimed to understand the perceptions of students toward the functions of urban forests in campus and park areas and to explore the relationship between personal values and forest functions. Data were collected from 149 valid questionnaires out of 159 distributed to students at the College of Agriculture and Natural Resources, National Chung Hsing University.The 5-point Likert scale was used to measure the importance of forest functions and recognition of personal values by the list of values (LOV) scale. Repeated measure analysis of variance (RM-ANOVA) was used to analyze the forest functions for each type of urban forest. On the other hand, the same forest functions between campus and park areas were compared by the paired-sample t-test. The regression model was used to analyze the relationship between forest functions and personal values. The results showed significant differences among forest functions for each urban forest type by RM-ANOVA. The sort of forest functions displayed the same pattern in these two areas, where the item of ''beautification and greening of the environment'' obtained the highest score (4.51 and 4.71 for campus and park areas, respectively), and ''cultural meaning'' with the lowest score (3.87 and 3.91 for campus and park areas, respectively). According to a paired-sample t-test, a higher score was displayed for most forest functions in park-type urban forests than in campus-type urban forests. Moreover, the results of regression models built in this study can be used to predict forest functions by personal values, regardless of park-type and campus-type urban forests.