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Outdoor Lighting and Crime - Amper

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City <strong>and</strong><br />

State/Territory<br />

Population,<br />

thous<strong>and</strong>s<br />

<strong>Crime</strong> Rate %<br />

Annual Upward<br />

Light Energy Loss<br />

per Unit Area,<br />

MW.h/km2<br />

Melbourne, Vic 3 466 10.48 3.82<br />

Perth, WA 1 381 14.78 3.65<br />

Sydney, NSW 4 086 16.74 3.48<br />

Brisbane, Qld 1 627 13.23 2.98<br />

Adelaide, SA 1 096 21.5 2.85<br />

Newcastle, NSW 483 19.15 2.69<br />

Canberra, ACT 350 6.81 2.27<br />

Gold Coast, Qld 404 15.3 1.77<br />

Population data are either from ABS (2003) or from the crime data sources, ACT<br />

(2002a,b), BOCSAR (2002), OCS (2002), OESR (2002), Vicpol (2002a,b), <strong>and</strong><br />

WAPS (2002). Light energy loss per unit area measures are by satellite (Isobe <strong>and</strong><br />

Hamamura 1998). The crime <strong>and</strong> light energy loss data are plotted in Figure 14.<br />

Regretably, the homogeneity of the crime data used is quite deficient. Individual states have<br />

idiosyncratic differences in their criminal justice systems. States are free to agree on<br />

publication of crime statistics with a common basis but apparently this has not yet been<br />

achieved. 65 Much effort went into trying to assemble a crime data set for areas that<br />

approximated the areas given for the DMSP data. In the case of Sydney, for example, this<br />

required removal of crime <strong>and</strong> population data for the outermost ring of local government<br />

areas, most of which are rural. The Sydney <strong>and</strong> Newcastle data included speeding offences<br />

but data for the remaining cities apparently did not. Other problems were lack of information<br />

on the area covered, <strong>and</strong> police districts that did not match the city shape <strong>and</strong> extended well<br />

beyond the city limits. As far as could be ascertained, the data periods for some of the cities<br />

were calendar years, <strong>and</strong> for others, financial years. The years chosen were the earliest for<br />

which data were readily available in each case. It would have been easy in some cases to<br />

manipulate the figures up or down by choice of areas or choice of crimes for inclusion or<br />

exclusion.<br />

Given these problems, the scatter in Figure 14 is hardly surprising. <strong>Crime</strong> prevention research<br />

is hampered by such poor data. The small number of cities with light energy loss measures<br />

was a further h<strong>and</strong>icap.<br />

65 No major agencies or departments of the Australian Government facilitate the collection or<br />

integration of national crime data. This has led researchers to make statements such as “This<br />

certainly makes research <strong>and</strong> analysis of crime somewhat challenging” (Murray, McGuffog,<br />

Western <strong>and</strong> Mullins 2001).<br />

77

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