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Outdoor Lighting and Crime - Amper

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level will be linked to clock time (including variations such as daylight saving time) <strong>and</strong> the<br />

seasons.<br />

Social factors such as time of day outside of school hours (NCJRS 1999) <strong>and</strong> work hours are<br />

known to play a large part in the incidence of crime, as described in Part 1 <strong>and</strong> Section 1.2<br />

above. Large fluctuations in the rate for many types of crime occur consistently at fixed clock<br />

times, usually without any definite or consistent link to specific light levels. To single out any<br />

specific effects of light changes, at sunset or sunrise for example, crime would be better<br />

plotted against phase of day <strong>and</strong> night rather than against clock time.<br />

Lunar phase <strong>and</strong> meteorological factors such as cloud <strong>and</strong> fog can have a profound effect on<br />

the light level at a given day/night phase, however, so it would be better again to plot crime<br />

against measured light level. Nobody appears to have pursued this so far, which sits strangely<br />

against the vast amounts of government, corporate <strong>and</strong> domestic expenditure on artificial light<br />

at night as a supposed crime-prevention measure. As an example from highly developed<br />

countries, the contrast with requirements for evidence-based official approval of<br />

pharmaceuticals is extreme.<br />

Even when daylight saving time is not in use, the use of clock time or even local solar time as<br />

a proxy for ambient light levels over night <strong>and</strong> day results in the integration of any crime<br />

effects of light level over light stimulus values varying in some cases from the assumed mean<br />

by ten times (1 log unit) or more in each direction. Unless the observations <strong>and</strong> analyses<br />

involved can be conducted in more than two dimensions, the cost of avoiding this reduction of<br />

apparent effect of light would be to integrate the other effects instead, over a substantial <strong>and</strong><br />

frequently ill-defined range. In terms of the effects on a light <strong>and</strong> crime graph, this would<br />

effectively ‘smear out’ fixed-time-of-day crime effects along the light axis, thereby increasing<br />

the prospect of being able to identify crime effects attributable to absolute or relative light<br />

levels.<br />

4.2.2.2 Possible forms of crime <strong>and</strong> lighting curve<br />

Curve C in Figure 6 is representative of the form of variation of crime with ambient light<br />

implied by conventional Situational <strong>Crime</strong> Prevention theory. Its form, let alone its possible<br />

partition into light-dependent <strong>and</strong> other parts, appears to be ignored in the literature. The<br />

observational evidence supporting a curve of this form is that aggregate crime in some<br />

countries (eg the UK) is greater at night than by day. However, it is often overlooked that<br />

clock time rather than light level appears to be the main factor governing night or day<br />

prevalence in some cases. 40 As the ambient light is increased artificially or increases naturally<br />

from night conditions, separately or together through twilight values, by definition the crime<br />

rate indicated by the curve must reduce down to the daylight level, whatever that may be in<br />

absolute terms.<br />

Although the Curve C shown is notional, the vertical scale shown is realistic to the extent that<br />

the net excess, integrated over the range of light levels experienced at night, is at most a small<br />

40 For example, drink-spiking <strong>and</strong> brawls are commonly associated with nightclubs <strong>and</strong> bars<br />

at night, but armed robberies of banks appear to be rare at night because not many banks are<br />

open then.<br />

40

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