Lighting

Light and lighting encompass different dimensions of urban life, thus the harmony and coordination of this process with environment and urban space is of great importance. Due to the importance of mental patterns in urban planning, present article analyzes the relation between mental dimensions of lighting and the spatial improvement of Tehran metropolis. The present article is developmental and applied in objectives and uses a descriptive-analytic method. At the same time, it takes advantage of statistical techniques such as factor analysis, correlation, t test and regression. The investigations indicate that lighting influences 3 different parameters, tourism, safety, attractiveness of the environment. Undoubtedly, the quality of urban lighting is considered to be especially important in attracting citizens to these textures. Therefore, it is necessary to improve lighting quality in the process of designing our urban textures. Findings show that the residents of the case study area have a low level of satisfaction regarding the quality of lighting.

The color temperature of light is one of the important indicators in lighting that should be considered. Because people experience and feel their surroundings not only with brightness and darkness, light and shadow but also through colors, the feeling that the color of the light creates in the space affects human perception and health through the warmth and coldness of the light. The color receptivity and color temperature chart is a tool that determines how the human eye feels when faced with a spectrum of light. Since the purpose of this research is to analyze the light quality of the s tained glass windows of traditional Iranian architecture, calculating the color temperature will be a suitable criterion for judgment, that is, if the color temperature of the light from the s tained glass windows is calculated, the experience of people in facing the light can be calculated quantitatively. Comparative methods were used to analyze the quality of light based on the color temperature curve with calculation tris timulus values XYZ from spectral data and calculation xyz chromaticity values. Inves tigations showed that the light color temperature of 65% of the windows is 3000 to 4600 K, and 35% is. In these windows with this combination model and area percentage of four colors, red, green, blue, and yellow, the quality of light has not decreased based on the color temperature curve.