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Outdoor Lighting and Crime - Amper

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Terrain<br />

Reflectance RT<br />

Upward<br />

Fraction UF<br />

UF / UF0.1<br />

TABLE 4. Upward Light Loss as a Function of Terrain Reflectance<br />

0.05 0.1 0.2 0.3 0.6 0.7 0.8 0.9<br />

0.26 0.299 0.377 0.455 0.688 0.766 0.844 0.922<br />

0.86 1 1.26 1.52 2.30 2.56 2.82 3.08<br />

The values of the Upward Fraction are fairly insensitive to the assumptions made, within<br />

ranges that might be expected in practice.<br />

A fresh snowfall covering all upwardly facing surfaces <strong>and</strong> viewed from directly overhead<br />

could be expected to have RT = 0.9 approximately, thereby increasing the apparent light flux<br />

from a city by about 3.08 times. It would be less than this if seen from appreciable zenith<br />

distances because of the area of building walls visible <strong>and</strong> not covered by snow. Other factors<br />

could also reduce the effective average terrain reflectance, such as cleared roads <strong>and</strong> paths,<br />

<strong>and</strong> dirty, thin, patchy, consolidating or melting snow. All of these effects can be taken<br />

account of by using an appropriately lower value for the reflectance.<br />

Accordingly, the net effect of complete fresh snow cover is estimated as an increase of about<br />

three times in upward light energy loss, although a factor of four has been used by others in<br />

discussions of city lights <strong>and</strong> satellite measurements. Using a factor of three or even four still<br />

leaves substantial discrepancies between the claim about Las Vegas <strong>and</strong> the data for the first<br />

three cities in Table 3.<br />

It might be thought that suburban lights seen from space would appear to extend further into<br />

the countryside when snow cover increases the Upward Fraction. This would be true if the<br />

light sources on the ground gradually became more spread out with distance from the city<br />

centre. However, lit features typically tend to be sharply delimited according to Elvidge et al.<br />

(1997). The thresholding process for city light limits is described in NASA (2000). Planning<br />

controls on l<strong>and</strong> use would appear to be a factor in the relatively well defined edges observed.<br />

Natural boundaries such as waterways <strong>and</strong> steep changes in terrain level could also contribute.<br />

The point here is that overestimation of city area does not seem to be an important effect<br />

resulting from snow cover <strong>and</strong> therefore does not help to explain why Las Vegas is not at the<br />

top of the list in Table 3.<br />

If there are problems with the internal consistency of the satellite data, the effect would be to<br />

increase the unexplained variance in lighting <strong>and</strong> crime correlations such as those described<br />

below. For the present, the anomaly has to be left unresolved. This does not prevent further<br />

use being made of the data.<br />

Unfortunately, crime data for many of the 153 cities listed by Isobe <strong>and</strong> Hamamura are either<br />

incomplete or apparently not available or not readily comparable with those of cities in other<br />

countries because of differing criminal justice systems (eg the Scottish system compared with<br />

that of Engl<strong>and</strong> <strong>and</strong> Wales, or the New Zeal<strong>and</strong> system in comparison with Australia’s). Both<br />

crime <strong>and</strong> light loss data are required for several cities from any particular country as a<br />

63

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