Evaluate the performance of urban furniture in improving the quality of environmental graphics (Case study: Sadeghieh neighborhood of Tehran)
Subject Areas : Architecture
katayoun
teymourian
1
(Department of General drawing, Yadegar-e-Imam Khomeini (RAH) Shahre Rey Branch, Islamic Azad University, Tehran, Iran.)
Parvaneh
Zivyar
2
(Depart of Geography,Yadegar-e-Imam Khomeini (RAH) Shahre Rey Branch, Islamic Azad University, Tehran, Iran.)
Seyed Mani
Esnaashary
3
(Graphic designe, Shiraz University. Shiraz, Iran)
Keywords: Tehran, urban furniture, Sadeghieh neighborhood, Environmental Graphics, performance,
Abstract :
Today, the important and role of urban furniture is an essential component of cities. The purpose of this study is to evaluate the performance of urban furniture in improving the quality of environmental graphic in Sadeghieh neighborhood of Tehran. The methodology governing the research is descriptive –analytical and in terms of purpose is applied research. The method of date collection in the present study is documentary-filed and has been used to develop theoretical foundation and extract research indicators in the form of a questionnaire to improve the quality of environmental graphics. In analyzing the research finding, statistical test in the form of Spss software have been used to investigate the factors affecting urban furniture in improving the quality of environmental graphics. In analyzing the research findings, factor affecting the performance of urban furniture such as physical factors (10 items), economic factors (8items) and social factors (8items) have been used. Coefficient was used to investigate the relationship between the criteria. The results showed that there is a direct correlation between two social and economic criteria with 95% confidence. In calculating the correlation between economic and physical dimensions, since the significance level of the relationship between these two criteria was less than 0.01; therefore, it can be said that is relationship between the economic and physical dimensions with 99% confidence. The results of multivariate regression calculation between independent variable and dependent variable showed that there is a linear relationship between independent and dependent variable.
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