Interactive Scenario-Based Assessment Approach of Urban Street Lighting and Its Application to Estimating Energy Saving Benefits

If excessive and misdirected, street lighting (SL) causes energy waste might pose significant risks to humans natural ecosystems. Based on data collected by an interactive user-oriented method, we developed a novel empirical approach that enables the spatial identification of over-illuminated areas in residential neighborhoods calculation potential savings can be achieved there, reducing illumination. We applied estimated model densely populated neighborhood City Tel Aviv-Yafo Israel, test proposed approach’s performance. According our estimates, illumination levels lowered up 50% approximately 60% neighborhood’s area, which is currently over-illuminated, thus leading savings, while preserving reasonable level visual comfort associated with SL.