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Outdoor Lighting and Crime - Amper

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necessary but not sufficient condition to give a sufficiently homogeneous data set for analysis.<br />

The quantity of data pairs in the set is primarily limited by the number of cities with light<br />

energy loss data <strong>and</strong> the quality mainly relates to the national consistency of crime data. This<br />

condition appeared to be best met by the USA city data set. Data sets for Canada <strong>and</strong> the UK<br />

were about equal in quantity <strong>and</strong> apparent quality, with the data set for Australia not as good<br />

mainly because of crime data quality issues. It would seem reasonable to expect that there are<br />

other usable city data sets yet to be identified. 59 Lack of concurrency of the light <strong>and</strong> crime<br />

data may be more of an issue with the data sets from Canada, UK <strong>and</strong> Australia.<br />

The order of presentation of the light energy loss <strong>and</strong> crime results in the following sections is<br />

USA, Canada, UK <strong>and</strong> Australia.<br />

5.2.3 City crime <strong>and</strong> upward light energy loss comparisons, USA<br />

5.2.3.1 UCR crime rate data <strong>and</strong> light energy loss per unit area<br />

Table 5 lists crime rates <strong>and</strong> annual upward light energy loss per square kilometre of city area<br />

for all 21 of the USA cities included in Isobe <strong>and</strong> Hamamura (1998). In most cases, the<br />

Uniform <strong>Crime</strong> Reports (UCR) tables provide populations <strong>and</strong> crime numbers for cities, along<br />

with populations, crime numbers <strong>and</strong> crime rates for larger areas that include the cities. The<br />

populations <strong>and</strong> crime rates in the table are values for, or calculated from, the city entries<br />

alone.<br />

An expectation from the new hypothesis is that, all else being equal, cities with large upward<br />

light energy losses per unit area or per person will tend to have higher crime rates than cities<br />

with smaller losses. An initial test of the USA data is made by plotting the UCR Index crime<br />

rate for each city (FBI 1998) against annual light energy loss per square kilometre (Figure<br />

7). 60 The linear regression line slope of 0.031 is in the expected direction, but r 2 is negligible<br />

at 0.0094. Two-tail tests for statistical significance are used throughout this Chapter 5. In<br />

this case, the slope is not significantly different from the ‘no correlation’ slope of 0 (t = 0.426,<br />

19 df).<br />

59<br />

For instance, two crime data sets in English including 5 <strong>and</strong> 6 of the 9 Japanese cities with<br />

light energy loss data were found online.<br />

60<br />

A problem relates to the satellite data source entry for New York City: it is given as “New<br />

York (Long Isl<strong>and</strong>)” without explanation. The area given is 9095 km 2 , which is about twice<br />

the size of Long Isl<strong>and</strong>. In the absence of better information, the crime rate <strong>and</strong> population<br />

adopted for this entry are those given for New York City in FBI (1998).<br />

64

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