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 and might pose significant risks to humans and 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 and calculation of potential energy savings that can be achieved there, by reducing excessive illumination. We applied the estimated model to a densely populated residential neighborhood in the City of Tel Aviv-Yafo in Israel, to test the proposed approach’s performance. According to our estimates, illumination levels can be lowered by up to 50% in approximately 60% of the neighborhood’s area, which is currently over-illuminated, thus leading to significant energy savings, while preserving a reasonable level of visual comfort associated with SL.

[1]  Wendy Davis,et al.  Approaches to color rendering measurement , 2009 .

[2]  Boris A Portnov,et al.  Linking nighttime outdoor lighting attributes to pedestrians' feeling of safety: An interactive survey approach , 2020, PloS one.

[3]  Yunmi Park,et al.  Pedestrian safety perception and urban street settings , 2020, International Journal of Sustainable Transportation.

[4]  G. R. Patching,et al.  A New Method of Random Environmental Walking for Assessing Behavioral Preferences for Different Lighting Applications , 2017, Front. Psychol..

[5]  B. Portnov,et al.  The impact of artificial light at night on human and ecosystem health: a systematic literature review , 2020, Landscape Ecology.

[6]  Maria Johansson,et al.  Perceived outdoor lighting quality POLQ. A lighting assessment tool , 2014 .

[7]  Taeyon Hwang,et al.  Effects of Indoor Lighting on Occupants’ Visual Comfort and Eye Health in a Green Building , 2011 .

[8]  N Sándor,et al.  Visual colour rendering based on colour difference evaluations , 2006 .

[9]  B. Portnov,et al.  How Much Lighting is Required to Feel Safe When Walking Through the Streets at Night? , 2020, Sustainability.

[10]  Maria Johansson,et al.  Individual factors influencing the assessment of the outdoor lighting of an urban footpath , 2011 .

[11]  Johan Rahm,et al.  Assessing the pedestrian response to urban outdoor lighting: A full-scale laboratory study , 2018, PloS one.

[12]  Maria Johansson,et al.  Self-Report Diary: A Method to Measure Use of Office Lighting , 2013 .

[13]  B. Portnov,et al.  Saving energy while maintaining the feeling of safety associated with urban street lighting , 2020, Clean Technologies and Environmental Policy.

[14]  Ioannis Kaparias,et al.  Analysing the perceptions of pedestrians and drivers to shared space , 2012 .

[15]  Wendy Davis,et al.  Blur perception and visual clarity in light projection systems. , 2019, Optics express.

[16]  A. Peña-García,et al.  Impact of public lighting on pedestrians' perception of safety and well-being , 2015 .

[17]  Minchen Wei,et al.  Perceived colour fidelity under LEDs with similar Rf but different Ra , 2019 .

[18]  C. Cuttle,et al.  Spatial brightness, horizontal illuminance and mean room surface exitance in a lighting booth , 2017 .

[19]  Peter Boyce,et al.  Perceptions of safety at night in different lighting conditions , 2000 .