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Author Lin, Y.; Liu, Y.; Sun, Y.; Zhu, X.; Lai, J.; Heynderickx, I. url  doi
openurl 
  Title Model predicting discomfort glare caused by LED road lights Type Journal Article
  Year 2014 Publication (up) Optics Express Abbreviated Journal Opt. Express  
  Volume 22 Issue 15 Pages 18056  
  Keywords LED; LED lighting; glare; road safety; traffic  
  Abstract To model discomfort glare from LED road lighting, the effect of four key variables on perceived glare was explored. These variables were: the average glare source luminance (Lg), the background luminance (Lb), the solid angle of the glare source from the perspective of the viewer; and the angle between the glare source and the line of sight. Based on these four variables 72 different light conditions were simulated in a scaled experimental set-up. Participants were requested to judge the perceived discomfort glare of these light conditions using the deBoer rating scale. All four variables and some of their interactions had indeed a significant effect on the deBoer rating. Based on these findings, we developed a model, and tested its general applicability in various verification experiments, including laboratory conditions as well as real road conditions. This verification proved the validity of the model with a correlation between measured and predicted values as high as 0.87 and a residual deviation of about 1 unit on the deBoer rating scale. These results filled the gap in estimating discomfort glare of LED road lighting and clarified similarities of and differences in discomfort glare between LED and traditional light sources.  
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  ISSN 1094-4087 ISBN Medium  
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  Notes Approved no  
  Call Number IDA @ john @ Serial 351  
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Author Marchant, P.R. url  openurl
  Title Have new street lighting schemes reduced crime in London? Type Journal Article
  Year 2011 Publication (up) Radical Statistics Abbreviated Journal  
  Volume Issue 104 Pages 39-48  
  Keywords Public Safety  
  Abstract Crime counts published by the Home Office for the Metropolitan Police

Crime and Disorder Reduction Partnership areas have been collated

across the years 2003-2009. The crime counts over time have been

modelled taking into account the ‘multilevel’ (years within areas)

nature of the data. The key variable of interest, as a predictor of

within-area change of crime, is the proportion of a Core Investment

Period of new Private Finance Initiative street lighting which had been

completed up to the given time point as a predictor of within area

change of crime. The final model gave a 95% confidence interval for

the multiplier by which the number of crimes is increased of (0.87,

1.11), for a fully implemented lighting programme, consistent with

zero effect.
 
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  Notes Approved no  
  Call Number LoNNe @ christopher.kyba @ Serial 449  
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Author Marchant, P.R. url  openurl
  Title What is the contribution of street lighting to keeping us safe? An investigation into a policy. Type Journal Article
  Year 2010 Publication (up) Radical Statistics Abbreviated Journal  
  Volume Issue 102 Pages 32-42  
  Keywords Public Safety  
  Abstract Lighting of roads is said to be of benefit beyond giving the ability to be

able to see in the dark. It is claimed for example that lighting reduces

crime and traffic accidents by a considerable amount and it is

therefore necessary to have it for these reasons. My view remains that

this claim lacks evidence of a sufficiently high standard to warrant

using public safety as an argument. On the other hand there are

reasons why having a lot of light at night might be a bad thing. This

work continues a previous talk and article for Radical Statistics

(Marchant 2006)

My initial interest in this area was sparked through my interest in

astronomy because light pollution makes it hard to appreciate the

wonders of the night sky. It seemed to me that the belief that lighting

reduces crime was questionable…. I then embarked on investigating

the crime reduction claim and found it suspect, as detailed in the

2006 Radical Statistics article. (See also Marchant 2004, 2005, 2007,

2009)
 
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  Notes Approved no  
  Call Number LoNNe @ christopher.kyba @ Serial 450  
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Author Marchant, P.R. url  openurl
  Title Investigating whether a crime reduction measure works Type Journal Article
  Year 2006 Publication (up) Radical Statistics Abbreviated Journal  
  Volume 91 Issue Pages  
  Keywords Public Safety  
  Abstract Crime is a serious business. It causes great distress and fear. It costs a lot

to deal with its consequences. In these regards crime shares much with

the problem of ill-health and disease. The application of sound science and

statistics has allowed great strides to be made in dealing with problems of

ill health. Medical statistics is one of the recognised, established

disciplines involved in researching healthcare.

The parallels between research in crime reduction and in healthcare do

appear to differ in terms of quality. Although there is still room for

considerable improvement in researching health-care, an investigation

into the underpinning of statistical methods used indicates that the

problems are substantially worse in the study of crime. The consideration

given to statistics in crime studies seems rather flimsy, yet important

claims are made which are statistical at source and may affect policy, and

so can have considerable costs attached. Therefore, for example, it is

important to know whether the underlying crime level has really changed,

rather than just being the result of perhaps sampling variation or some

artefact giving rise to statistical bias or systematic error. This is necessary

when trying to determine whether a Crime Reduction Intervention (CRI)

has actually worked.

I started examining the scientific basis of the claim for the effectiveness for

one particular CRI, basically because I was concerned about negative side

effects and I thought the claim implausible. I remain concerned and

unconvinced. The statistical issues and concerns I raise apply also to

investigating other CRIs and to existing published analyses.

This piece extends work presented in Marchant (2006); earlier work on the

statistical issues involved can be found in Marchant (2005a, b; 2004).
 
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  Notes Approved no  
  Call Number LoNNe @ christopher.kyba @ Serial 452  
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Author Zhou, H.; Liu, L.; Lan, M.; Yang, B.; Wang, Z. url  doi
openurl 
  Title Assessing the Impact of Nightlight Gradients on Street Robbery and Burglary in Cincinnati of Ohio State, USA Type Journal Article
  Year 2019 Publication (up) Remote Sensing Abbreviated Journal Remote Sensing  
  Volume 11 Issue 17 Pages 1958  
  Keywords Remote Sensing; Public Safety; Crime  
  Abstract Previous research has recognized the importance of edges to crime. Various scholars have explored how one specific type of edges such as physical edges or social edges affect crime, but rarely investigated the importance of the composite edge effect. To address this gap, this study introduces nightlight data from the Visible Infrared Imaging Radiometer Suite sensor on the Suomi National Polar-orbiting Partnership Satellite (NPP-VIIRS) to measure composite edges. This study defines edges as nightlight gradients—the maximum change of nightlight from a pixel to its neighbors. Using nightlight gradients and other control variables at the tract level, this study applies negative binomial regression models to investigate the effects of edges on the street robbery rate and the burglary rate in Cincinnati. The Akaike Information Criterion (AIC) of models show that nightlight gradients improve the fitness of models of street robbery and burglary. Also, nightlight gradients make a positive impact on the street robbery rate whilst a negative impact on the burglary rate, both of which are statistically significant under the alpha level of 0.05. The different impacts on these two types of crimes may be explained by the nature of crimes and the in-situ characteristics, including nightlight.  
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  ISSN 2072-4292 ISBN Medium  
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  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2828  
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