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Modelling Purchasing Demand of Urban People for Ornamental Plants Using Logistic Regression Analysis: Sample of Malatya City

机译:基于Logistic回归分析的城市居民对观赏植物的购买需求建模:马拉蒂亚市样本

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Quality and quantity of urban green space in a city can directly affect public living comfort in the same city. Today, several cities in Turkey face a dense structuring process. People do not give the same importance to green areas as their living places they shelter. However, some local governments develop strategies to protect and use existent green areas spend great amount of efforts and money to gain new green areas through landscape architecture practices. Most important element of green areas is ornamental plants. In the scope of the study, a questionnaire survey was completed using face to face technique. Data was evaluated using single variable logistic regression analysis and variables candidate to enter multivariable model were determined. Equivalence to be used in the determination of probability for urban people to purchase ornamental plants was determined with the help of Logit Model formed as the result of multivariable regression analysis. It was found according to model that gender of people buying ornamental plants, having pet and balcony in the houses and the number of family members were the effective variables. At the end of the study new approaches were proposed for the propagation and marketing of ornamental plants.
机译:一个城市中城市绿地的质量和数量会直接影响同一城市的公共生活舒适度。今天,土耳其的几个城市面临着密集的结构化过程。人们对绿地的重视程度不如他们所居住的居住地。但是,一些地方政府制定了保护和利用现有绿地的战略,花费大量的精力和金钱通过景观设计实践来获得新的绿地。绿色区域最重要的元素是观赏植物。在研究范围内,使用面对面技术完成了问卷调查。使用单变量逻辑回归分析评估数据,并确定进入多变量模型的候选变量。在多变量回归分析的结果形成的Logit模型的帮助下,确定了用于确定城市人购买观赏植物的可能性的等效性。根据模型发现,购买观赏植物的人的性别,房屋中有宠物和阳台以及家庭成员的数量是有效变量。在研究结束时,提出了用于观赏植物繁殖和销售的新方法。

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