Portnov, B.A., Fotios, S. orcid.org/0000-0002-2410-7641, Saad, R. et al. (1 more author) (2024) Establishing optimal illuminance for pedestrian reassurance using segmented regression. Lighting Research & Technology, 56 (3). pp. 260-273. ISSN 1477-1535
Abstract
The optimal illuminance from road lighting for pedestrian reassurance after dark is that beyond which further increase in illuminance has no significant effect on reassurance. Previous studies have not revealed a precise estimate of optimal illuminance. The current study investigates the use of segmented regression for defining optimal illuminance, applied to 25 662 reassurance evaluations by 380 test participants who recorded their reassurance assessments in 253 locations in three cities in Israel. Segmented regression led to models which better fit the empirical data than their unsegmented counterparts and offered precise estimates of optimal illuminance, these ranging from 8.9 lx to 26 lx, depending on location.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Chartered Institution of Building Services Engineers. This is an author produced version of a paper subsequently published in Lighting Research and Technology. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Architecture (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 09 Aug 2022 06:40 |
Last Modified: | 10 May 2024 15:37 |
Status: | Published |
Publisher: | SAGE Publications |
Refereed: | Yes |
Identification Number: | 10.1177/14771535221080649 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:189847 |
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