台中地區居民對行道樹屬性偏好之研究

Residents' Preferences of Taichung Area on Street Tree Attributes

歐聖榮(Sheng-Jung Ou) ； 高必嫻(Pi-Hsien Kao)

《中國園藝》 44卷3期 (1998/09) Pp. 275-295

https://doi.org/10.6964/JCSHS.199809.0275

摘要

本研究的目的在探究台中地區居民對行道樹屬性的看法，並了解其屬性偏好向度。由於行道樹的配置方式以「兩側街道上」及「中內分隔島上」兩種不同種植型態的居多，因此本研究乃針對此兩種形態的行道樹屬性來探討居民的偏好結構。研究過程分爲兩個步驟，首先利用因素分析建立行道樹屬性的因素向度；再利用其結果進行次階段的聯合分析，求得以居民觀點爲基礎的最適行道樹屬性。根據研究結果，本研究得到以下幾點結論：
1．經因素分析後，21項行道樹屬性可簡化成四個行道樹屬性的因素向度；影響安全性、環境衛生性、增加美觀及改善環境。
2．「住宅前有種行道樹」與「住宅前沒有種行道樹」兩群體在因素四「改善環境」的看法上有顯著差異。
3．受測者之社經背景不同，其在行道樹因素向度及整體滿意度上大致無顯著差異。
4．經由聯合析之結果可知，針對「兩側街道上的行道樹」而言，居民最重視的屬性是「增加美觀」；針對「中央分隔島上的行道樹」而言，居民最重視的屬性是「影響安全性」。

關鍵字

行道樹 ； 偏好 ； 屬性 ； 因素分析 ； 聯合分析

並列摘要

The purpose of this study was to understand residents' opinions of Taichung area on the street tree attributes their preference structure. This study focused on the preference structure for both the ”street tree beside the street” and ”street tree on the medians”. The two-stage research process was conducted in this study. First, we constructed the factor structure of the street tree attributes by using factor analysis. Second, we applied the conjoint analysis approach to obtain the optimization of the resident-based street tree attributes. Based on the findings, four major conclusions were drawn as follows:
1. By performing factor analysis, four factors of the street tree attributes were extracted. They were ”influencing safety”, ”environmental sanitation”, ”increasing beauty”, and ”improving the environment”.
2. The results indicated that there was a significant difference on the opinion of ”improving the environment” between residents with and without street trees in front of their houses.
3. Residents' socioeconomic characteristics did not have significant influences on the factor structure of street tree attributes and the total satisfaction level.
4. The determinant attribute for the ”street tree beside the street” was ”increasing beauty”, and the determinant attribute for the ”street tree on the medians” was ”influencing safety”.

並列關鍵字

street tree ； preference ； attribute ； factor analysis ； conjoint analysis