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Outdoor Lighting and Crime - Amper

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Common experience is that cities are more brightly lit than their suburbs, which in turn are<br />

more brightly lit than rural areas. The same applies to towns, their outskirts <strong>and</strong> rural areas.<br />

Air travellers at night are often able to see these progressions at a glance. 41 The progressions<br />

are consistent with the diminution of artificial skyglow as distance from cities <strong>and</strong> towns<br />

increases. From the known experiences of urban blackouts <strong>and</strong> reduced crime, the important<br />

part of the progression is not one of infrastructure, big buildings to detached houses to<br />

isolated farmhouses, but from lots of artificial light at night to little or none. This widely<br />

evident spatial relationship suggests a positive correlation between the amount of artificial<br />

light <strong>and</strong> the crime rate. This does not imply causality, although it is additional evidence to<br />

support causality. The two quantities could be mutually independent but both dependent on<br />

population density, for example. Further evidence is needed.<br />

As shown in Table 1, crime rates <strong>and</strong> notional skyglow growth are positively correlated over<br />

time in each of five countries <strong>and</strong> similar temporal correlations are likely in 15 others<br />

according to Figure 4. The crime data sets cover national populations <strong>and</strong> durations of<br />

decades to a century. The skyglow growth curves are based on observations <strong>and</strong> cover a<br />

century on the basis of reasonable assumptions. Their exponential form is consistent with<br />

observations from other countries <strong>and</strong> satellites as an indicator of the accelerating growth of<br />

outdoor ambient lighting in most places.<br />

Street lighting reductions in certain US towns have not resulted in reported increases in crime<br />

or road traffic accidents. Casual observations indicate that graffiti <strong>and</strong> probably other forms<br />

of v<strong>and</strong>alism are deterred by darkness. Anecdotal reports of Dark Campus programs indicate<br />

likewise, along with other crime reductions. Power disruptions in cities have likewise<br />

resulted in dim conditions <strong>and</strong> reduced crime. Dim lighting or darkness therefore inhibits the<br />

crime rate both as a spatial <strong>and</strong> temporal effect. None of this supports the notion that<br />

insufficient light at night increases crime. Light <strong>and</strong> crime are positively correlated in the<br />

circumstances described, 42 whatever people might say or think.<br />

Several quasi-experiments that purport to show differently appear on examination to have too<br />

many shortcomings for their results to be accepted as reliable. These <strong>and</strong> other experiments<br />

are suspect for various reasons including uncertainty of treatment magnitude, unduly large<br />

effects, financial <strong>and</strong> non-financial conflicts of interest, confounding, <strong>and</strong> hotspots regressing<br />

to the mean independently of treatment. The collective total data for these experiments is<br />

minuscule by comparison with the range <strong>and</strong> magnitude of the data used so far in this paper to<br />

reveal spatial <strong>and</strong> temporal associations between lighting <strong>and</strong> crime, viz:<br />

• populations of hundreds to hundreds of millions,<br />

• crime data from small areas such as streets <strong>and</strong> campuses up to national scales,<br />

41 NASA (2003) includes a photograph of London at night from the International Space<br />

Station. The central concentration of light is beautifully shown. Satellite maps of emitted<br />

artificial light at night, as on the cover of CPRE (2003), show the lighting progression from<br />

city centres to rural areas.<br />

42 As in Part 1, this document uses the st<strong>and</strong>ard convention that a positive correlation means<br />

two variables change together in the same direction. Specifically, it is a positive correlation<br />

when crime increases as lighting increases. Some criminologists use ‘positive’ to describe a<br />

decrease in crime when lighting increases, eg Painter (1993, p 140). This practice is<br />

deprecated.<br />

45

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