PROCEEDINGS OF the 29th Quadrennial Session of the CIE 2019
DOI: 10.25039/x46.2019.po180
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Uniformity Predicts Pedestrian Reassurance Better Than Average Illuminance

Abstract: Reassurance describes the degree of confidence a pedestrian might have to walk, a critical concern where there are national plans to promote walking rather than driving for local journeys. This paper describes a field study carried out to measure the reassurance benefit of lighting using the day-dark method. The results suggest that reassurance is better predicted by uniformity or minimum illuminance than it is by average illuminance, which is the conventional metric.

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Cited by 6 publications
(2 citation statements)
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“…A technical report summarizing the current status of empirical evidence concerning pedestrian lighting concludes that high uniformity is beneficial for reassurance and that the proposed optimal criteria for minimum horizontal illuminance should be used for both reassurance and obstacle detection, but not for evaluating other pedestrians [17]. In residential streets, reassurance increases with higher uniformity [18,19]. More uniform lighting increases perceived safety in virtual public squares [20].…”
Section: Introductionmentioning
confidence: 99%
“…A technical report summarizing the current status of empirical evidence concerning pedestrian lighting concludes that high uniformity is beneficial for reassurance and that the proposed optimal criteria for minimum horizontal illuminance should be used for both reassurance and obstacle detection, but not for evaluating other pedestrians [17]. In residential streets, reassurance increases with higher uniformity [18,19]. More uniform lighting increases perceived safety in virtual public squares [20].…”
Section: Introductionmentioning
confidence: 99%
“…According to Fotios, the current recommendation, CIE 136-2000, may even be outdated (CIE, 2019). Fotios et al propose that it is more important to examine the spatial distribution of light as a whole than the quantity of light on horizontal surfaces (CIE, 2019, Fotios andLiachenko-Monteiro, 2019). It is problematic to focus too much on illuminance because peoples' opinions can be biased, and people generally tend to prefer the highest brightness levels, regardless of the illuminance levels tested (CIE, 2019).…”
Section: Introductionmentioning
confidence: 99%