以新乡市15个住区（r1-r15）为研究 对象，选取7个指标，包括植被景观(x1)、照明景观(x2)、硬质景观(x3)、庇护景观(x4)、模拟景观(x5)、水景观(x6)和场所景观(x7),应用AHP 法建立影响因子赋值标准。以多元回归分析法建立影响因子(xi)和住区环境景观吸引力(y)之间的回归方程。结果表明:多元线性回归方程为y= -26359+6181x1+1583x2+1247x3+1123x4+026x5+017x6+2230x7,贡献率排序为x1> x7> x2> x3> x4> x5> x6。通过该模型中各 因子的贡献率可知,在北方城市住区环境景观设计中应该将满足生态和审美需求的植被景观、满足各种活动需求的场所景观和对夜景十分重要的 照明景观放在重要的地位,单位平均造价较高的硬质景观和庇护景观应有所取舍,而水景观的应用则应该十分慎重
Abstract
Fifteen residential districts from r1 to r15 were selected in Xinxiang City in this study. Seven indicators, i.e., vegetation landscape (x1), lighting landscape (x2), hard landscape (x3), shelter landscape (x4), simulation landscape (x5), water landscape (x6) and place landscape (x7), were selected. AHP method was used to establish the impact factor assignment standards. We established one regression equation between impact factors (xi) and residential landscape environment attraction (y) with the multiple regression analysis. The multivariate linear regression equation is y=-26359+6181x1+1 583x2+1247x3+1123x4+026x5+017x6+2230x7, with the contribution rate sorting as x1> x7> x2> x3> x4> x5> x6. The model holds good reliability and strong predictive ability. It indicates that measurable evaluation on residential environment landscape attraction is feasible. From the contribution rates of the model, it can be concluded that, the following three landscapes should be placed on the important status in the environmental landscape design in northern cities, such as vegetation landscape fulfilling the needs of the ecological and aesthetic, place landscape fulfilling the needs of various activities and lighting landscape which is of great importance to night landscape. The hard landscape and shelter landscape with higher average unit cost should be a choice, whereas water landscape and its application should be very careful.
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基金
收稿日期：2007-07-09修回日期：2008-04-06 基金项目：河南省科技厅普通攻关项目(0424490012);河南科技学院重点科研项目资助基金(040132) 作者简介：乔丽芳(1978—),讲师,研究方向为景观规划设计理论。Email: qiaolifang2002 @163.com 引文格式：乔丽芳，张毅川，冯磊,等.城市住区环境景观吸引力定量化评价模型——以新乡市住区为例［J］.南京林业大学学报：自然科学版 ，2009,33(1):115120.
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