Practical Evaluation of Light Pollution Problem in Urban Lighting with “Decision Tree” Method

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Konuk Taştan G. G., İplik I., Yağmur Ş.

A+Arch Design International Journal of Architecture and Design, vol.9, no.2, pp.84-100, 2023 (Peer-Reviewed Journal)


Light pollution, which started in the late 20th century and spread more rapidly than predicted, is an environmental problem. Due to the increasing city life, urban lighting become essential to continue social daytime activities, such as entertainment, sports, shopping and transportation, at night. In addition to visual lighting, with the evolution of "the image of the city" concept, the lightening process of the components that constitute the perception of the city image has begun. Unplanned and uncontrolled urban lighting applications have increased by means of the capabilities provided by lighting technology and the increasing diversity of products in the lighting industry. Since light pollution is an interdisciplinary field in terms of its cause types and outcome effects, varied researches have been conducted on light pollution control techniques, and a number of standards or reports have been published by public authorities and international organizations. Today, light pollution control recommendations have increased and become more complex. A simplification of the subject is needed in order to evaluate the light pollution problem in urban lighting projects practically. The decision tree is a solution model that simplifies a problem by analyzing various alternatives through a graphic and the sequential evaluation of multiple decisions. The decision tree is a solution model that simplifies a problem involving a large number of factors, through the sequential evaluation of multiple decisions and using graphical support. In this study; forms of light pollution are explained, lighting principles and limit values that will reduce light pollution are reviewed in accordance with the standards and reports published by international organizations, and a practical guide that could be utilized in urban lighting projects is formed by using the "decision tree" developed in the light of this data. This study aims to contribute to increased architectural participation in solving the light pollution problem.