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Modelling purchasing demand of urban people for ornamental plants using logistic regression analysis: Sample of Malatya city
(Medwell Journals, 2013) Atik A.; Aslan F.; Yilmaz B.; Ates O.
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. © Medwell Journals, 2013.